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ORCIDIEEE Transactions on Knowledge and Data Engineering, Volume 37
Volume 37, Number 1, January 2025
- Li Yuan
, Yi Cai, Jingyun Xu, Qing Li, Tao Wang:
A Fine-Grained Network for Joint Multimodal Entity-Relation Extraction. 1-14 - Yanni Li, Bing Liu, Tihua Duan, Zhi Wang, Hui Li, Jiangtao Cui:
A Novel Key Point Based MLCS Algorithm for Big Sequences Mining. 15-28 - Yubo Peng, Xiong Li, Ke Gu, Jinjun Chen, Sajal K. Das, Xiaosong Zhang:
Achieving Efficient and Privacy-Preserving Reverse Skyline Query Over Single Cloud. 29-44 - Jintang Bian, Xiaohua Xie, Chang-Dong Wang, Lingxiao Yang, Jian-Huang Lai, Feiping Nie:
Angular Reconstructive Discrete Embedding With Fusion Similarity for Multi-View Clustering. 45-59 - Haoran Qian, Weiguo Zheng, Zhijie Zhang, Bo Fu:
Answering Min-Max Resource-Constrained Shortest Path Queries Over Large Graphs. 60-74 - Aditi Gupta, Adeiza James Onumanyi, Satyadev Ahlawat, Yamuna Prasad, Virendra Singh:
B-CAVE: A Robust Online Time Series Change Point Detection Algorithm Based on the Between-Class Average and Variance Evaluation Approach. 75-88 - Zhaoheng Huang, Yutao Zhu, Zhicheng Dou, Ji-Rong Wen:
CAGS: Context-Aware Document Ranking With Contrastive Graph Sampling. 89-101 - Lingbai Kong, Wengen Li, Hanchen Yang, Yichao Zhang, Jihong Guan, Shuigeng Zhou:
CausalFormer: An Interpretable Transformer for Temporal Causal Discovery. 102-115 - Yao Zhang, Yun Xiong, Yiheng Sun, Yucheng Jin, Caihua Shan, Tian Lu, Hui Song, Shengli Sun:
CauseRuDi: Explaining Behavior Sequence Models by Causal Statistics Generation and Rule Distillation. 116-129 - Xuhui Li, Zhen Fang, Yonggang Zhang, Ning Ma, Jiajun Bu, Bo Han, Haishuai Wang:
Characterizing Submanifold Region for Out-of-Distribution Detection. 130-147 - Xia Ji, Jiawei Sun, Jianhua Peng, Yue Pang, Peng Zhou:
Clustering Ensemble Based on Fuzzy Matrix Self-Enhancement. 148-161 - Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qijiong Liu, Rui He, Qing Li, Ke Tang:
Condensing Pre-Augmented Recommendation Data via Lightweight Policy Gradient Estimation. 162-173 - Ruidong Wang, Liang Xi, Fengbin Zhang, Haoyi Fan, Xu Yu, Lei Liu, Shui Yu, Victor C. M. Leung:
Context Correlation Discrepancy Analysis for Graph Anomaly Detection. 174-187 - Xuejiao Yu, Yi Jiang, Guoqing Chao, Dianhui Chu:
Deep Contrastive Multi-View Subspace Clustering With Representation and Cluster Interactive Learning. 188-199 - Zhong Yuan, Peng Hu, Hongmei Chen, Yingke Chen, Qilin Li:
DFNO: Detecting Fuzzy Neighborhood Outliers. 200-209 - Yifan Zhu, Chengyang Luo, Tang Qian, Lu Chen, Yunjun Gao, Baihua Zheng:
DIMS: Distributed Index for Similarity Search in Metric Spaces. 210-225 - Jianting Chen, Ling Ding, Yunxiao Yang, Zaiyuan Di, Yang Xiang:
Domain Adversarial Active Learning for Domain Generalization Classification. 226-238 - Wei Huang, Yunxiao Zhang, Shangmin Guo, Yu-Ming Shang, Xiangling Fu:
DynImpt: A Dynamic Data Selection Method for Improving Model Training Efficiency. 239-252 - Yuxin Wang, Xiannian Hu, Quan Gan, Xuanjing Huang, Xipeng Qiu, David Wipf:
Efficient Link Prediction via GNN Layers Induced by Negative Sampling. 253-264 - Wen-Ji Zhou, Yuhang Zheng, Yinfu Feng, Yunan Ye, Rong Xiao, Long Chen, Xiaosong Yang, Jun Xiao:
ENCODE: Breaking the Trade-Off Between Performance and Efficiency in Long-Term User Behavior Modeling. 265-277 - Yang Cao, Shuo Shang, Jun Wang, Wei Zhang:
Explainable Session-Based Recommendation via Path Reasoning. 278-290 - Zezhi Shao, Fei Wang, Yongjun Xu, Wei Wei, Chengqing Yu, Zhao Zhang, Di Yao, Tao Sun, Guangyin Jin, Xin Cao, Gao Cong, Christian S. Jensen, Xueqi Cheng:
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. 291-305 - Tengwei Song, Long Yin, Yang Liu, Long Liao, Jie Luo, Zhiqiang Xu:
Expressiveness Analysis and Enhancing Framework for Geometric Knowledge Graph Embedding Models. 306-318 - Hao Yu, Ke Liang, Dayu Hu, Wenxuan Tu, Chuan Ma, Sihang Zhou, Xinwang Liu:
GZOO: Black-Box Node Injection Attack on Graph Neural Networks via Zeroth-Order Optimization. 319-333 - Thanh Tam Nguyen, Thanh Toan Nguyen, Matthias Weidlich, Jun Jo, Quoc Viet Hung Nguyen, Hongzhi Yin, Alan Wee-Chung Liew:
Handling Low Homophily in Recommender Systems With Partitioned Graph Transformer. 334-350 - Yi Yang, John P. Lalor, Ahmed Abbasi, Daniel Dajun Zeng:
Hierarchical Deep Document Model. 351-364 - Dengsheng Wu, Huidong Wu, Jianping Li:
Hierarchy-Aware Adaptive Graph Neural Network. 365-378 - Wentao Wu:
Hybrid Cost Modeling for Reducing Query Performance Regression in Index Tuning. 379-391 - Xun Song, Jiaqi Zheng, Hao Qian, Shiju Zhao, Hongxuan Zhang, Xuntao Pan, Guihai Chen:
In Search of a Memory-Efficient Framework for Online Cardinality Estimation. 392-407 - Peng Fang, Zhenli Li, Arijit Khan, Siqiang Luo, Fang Wang, Zhan Shi, Dan Feng:
Information-Oriented Random Walks and Pipeline Optimization for Distributed Graph Embedding. 408-422 - Zhidan Liu, Yingqian Zhou, Xiaosi Liu, Haodi Zhang, Yabo Dong, Dongming Lu, Kaishun Wu:
Learning Road Network Index Structure for Efficient Map Matching. 423-437 - Dezheng Wang, Rongjie Liu, Congyan Chen, Shihua Li:
MPM: Multi Patterns Memory Model for Short-Term Time Series Forecasting. 438-448 - Yilun Liu, Ruihong Qiu, Yanran Tang, Hongzhi Yin, Zi Huang:
PUMA: Efficient Continual Graph Learning for Node Classification With Graph Condensation. 449-461 - Puning Zhang, Miao Fu, Rongjian Zhao, Hongbin Zhang, Changchun Luo:
PURE: Personality-Coupled Multi-Task Learning Framework for Aspect-Based Multimodal Sentiment Analysis. 462-477 - Guangjie Zeng, Hao Peng, Angsheng Li, Jia Wu, Chunyang Liu, Philip S. Yu:
Scalable Semi-Supervised Clustering via Structural Entropy With Different Constraints. 478-492 - Wei Guan, Jian Cao, Haiyan Zhao, Yang Gu, Shiyou Qian:
Survey and Benchmark of Anomaly Detection in Business Processes. 493-512 - Athanasios Koukosias, Christos Anagnostopoulos, Kostas Kolomvatsos:
Task-Aware Data Selectivity in Pervasive Edge Computing Environments. 513-525 - Fobo Shi, Duantengchuan Li, Xiaoguang Wang, Bing Li, Xindong Wu:
TGformer: A Graph Transformer Framework for Knowledge Graph Embedding. 526-541 - Junyi Guan, Sheng Li, Xiongxiong He, Jiajia Chen, Yangyang Zhao, Yuxuan Zhang:
Y-Graph: A Max-Ascent-Angle Graph for Detecting Clusters. 542-556
Volume 37, Number 2, February 2025
- Yinzhao Yan, Raymond Chi-Wing Wong, Christian S. Jensen:
An Efficiently Updatable Path Oracle for Terrain Surfaces. 557-571 - Jiayun Zhang, Xinyang Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
Contextual Inference From Sparse Shopping Transactions Based on Motif Patterns. 572-583 - Jiawei Jiang, Hao Huang, Zhigao Zheng, Yi Wei, Fangcheng Fu, Xiaosen Li, Bin Cui:
Detecting and Analyzing Motifs in Large-Scale Online Transaction Networks. 584-596 - Zhihui Wang, Jianrui Chen, Zhongshi Shao, Zhen Wang:
Dual-View Desynchronization Hypergraph Learning for Dynamic Hyperedge Prediction. 597-612 - Litian Zhang, Xiaoming Zhang, Ziyi Zhou, Xi Zhang, Senzhang Wang, Philip S. Yu, Chaozhuo Li:
Early Detection of Multimodal Fake News via Reinforced Propagation Path Generation. 613-625 - Tongfeng Weng, Yumeng Liu, Mo Sha, Xinyuan Chen, Xu Zhou, Kenli Li, Kian-Lee Tan:
Efficient Projection-Based Algorithms for Tip Decomposition on Dynamic Bipartite Graphs. 626-640 - Guoli Wu, Zhiyong Feng, Shizhan Chen, Hongyue Wu, Xiao Xue, Jianmao Xiao, Guodong Fan, Hongqi Chen, Jingyu Li:
FairSort: Learning to Fair Rank for Personalized Recommendations in Two-Sided Platforms. 641-654 - Qiqi Zhang, Lingyang Chu, Zijin Zhao, Jian Pei:
Finding Antagonistic Communities in Signed Uncertain Graphs. 655-669 - Tian Yang, Fansong Yan, Fengcai Qiao, Jieting Wang, Yuhua Qian:
Fusing Monotonic Decision Tree Based on Related Family. 670-684 - Fuyuan Cao, Xuechun Jing, Kui Yu, Jiye Liang:
FWCEC: An Enhanced Feature Weighting Method via Causal Effect for Clustering. 685-697 - Jianjun Li, Yuhui Deng, Jiande Huang, Yi Zhou, Qifen Yang, Geyong Min:
Gecko: Efficient Sliding Window Aggregation With Granular-Based Bulk Eviction Over Big Data Streams. 698-709 - Hao Chen, Yuanchen Bei, Wenbing Huang, Shengyuan Chen, Feiran Huang, Xiao Huang:
Graph Cross-Correlated Network for Recommendation. 710-723 - Runze Yang, Hao Peng, Angsheng Li, Peng Li, Chunyang Liu, Philip S. Yu:
Hierarchical Abstracting Graph Kernel. 724-738 - Zheng Hu, Satoshi Nakagawa, Yan Zhuang, Jiawen Deng, Shimin Cai, Tao Zhou, Fuji Ren:
Hierarchical Denoising for Robust Social Recommendation. 739-753 - Yuanbo Xu, Fuzhen Zhuang, En Wang, Chaozhuo Li, Jie Wu:
Learning Without Missing-At-Random Prior Propensity-A Generative Approach for Recommender Systems. 754-765 - Meng Wang, Mengfei Zhao, Hui Li, Jiangtao Cui, Bo Yang, Tao Xue:
MC$^{2}$2LS: Towards Efficient Collective Location Selection in Competition. 766-780 - Zeyu Zhang, Chaozhuo Li, Xu Chen, Xing Xie, Philip S. Yu:
Meta Recommendation With Robustness Improvement. 781-793 - Xiao Li, Huan Li, Hua Lu, Christian S. Jensen:
Modeling and Monitoring of Indoor Populations Using Sparse Positioning Data. 794-809 - Zengmao Wang, Yunzhen Feng, Xin Zhang, Renjie Yang, Bo Du:
Multi-Modal Correction Network for Recommendation. 810-822 - Ziyu Zhao, Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Zhihua Wang, Fei Wu:
Networked Instrumental Variable for Treatment Effect Estimation With Unobserved Confounders. 823-836 - Qianli Zhou, Witold Pedrycz, Yong Deng:
Order-2 Probabilistic Information Fusion on Random Permutation Set. 837-850 - Jiawei Xue, Takahiro Yabe, Kota Tsubouchi, Jianzhu Ma, Satish V. Ukkusuri:
Predicting Individual Irregular Mobility via Web Search-Driven Bipartite Graph Neural Networks. 851-864 - Qiang Gao, Zhengxiang Liu, Li Huang, Kunpeng Zhang, Jun Wang, Guisong Liu:
Relational Stock Selection via Probabilistic State Space Learning. 865-880 - Xiaoxiao Ma, Fanzhen Liu, Jia Wu, Jian Yang, Shan Xue, Quan Z. Sheng:
Rethinking Unsupervised Graph Anomaly Detection With Deep Learning: Residuals and Objectives. 881-895 - Haipeng Ding, Zhewei Wei, Yuhang Ye:
Scalable and Effective Graph Neural Networks via Trainable Random Walk Sampling. 896-909 - Zexu Sun, Bowei He, Shiqi Shen, Zhipeng Wang, Zhi Gong, Chen Ma, Qi Qi, Xu Chen:
Sequential Causal Effect Estimation by Jointly Modeling the Unmeasured Confounders and Instrumental Variables. 910-922 - Jie Li, Ke Deng, Jianxin Li, Yongli Ren:
Session-Oriented Fairness-Aware Recommendation via Dual Temporal Convolutional Networks. 923-935 - Shuliang Wang, Qianyu Yang, Sijie Ruan, Cheng Long, Ye Yuan, Qi Li, Ziqiang Yuan, Jie Bao, Yu Zheng:
Spatial Meta Learning With Comprehensive Prior Knowledge Injection for Service Time Prediction. 936-950 - Jianke Yu, Hanchen Wang, Xiaoyang Wang, Zhao Li, Lu Qin, Wenjie Zhang, Jian Liao, Ying Zhang, Bailin Yang:
Temporal Insights for Group-Based Fraud Detection on e-Commerce Platforms. 951-965 - Wei Wu, Shiqi Li, Mi Jiang, Chuan Luo, Fangfang Li:
Time- and Space-Efficiently Sketching Billion-Scale Attributed Networks. 966-978 - Feiping Nie, Runxin Zhang, Yu Duan, Rong Wang:
Unconstrained Fuzzy C-Means Based on Entropy Regularization: An Equivalent Model. 979-990 - Shuo Shang, Zhitao Yao, Hao Fu, Chongyang Tao, Xiuying Chen, Feng Wang, Yongbo Wang, Zhaochun Ren, Shen Gao:
Unified Multi-Scenario Summarization Evaluation and Explanation. 991-1003 - Chao Li, Shifei Ding, Xiao Xu, Lili Guo, Ling Ding, Xindong Wu:
Vertical Federated Density Peaks Clustering Under Nonlinear Mapping. 1004-1017
Volume 37, Number 3, March 2025
- Yuxuan Zhou, Shang Gao, Dandan Guo, Xiaohui Wei, Jon G. Rokne, Hui Wang:
A Survey of Change Point Detection in Dynamic Graphs. 1030-1048 - Qian Zhou, Wei Chen, Li Zhang, An Liu, Junhua Fang, Lei Zhao:
ADMH-ER: Adaptive Denoising Multi-Modal Hybrid for Entity Resolution. 1049-1063 - Lu Bai, Lixin Cui, Ming Li, Peng Ren, Yue Wang, Lichi Zhang, Philip S. Yu, Edwin R. Hancock:
AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks. 1064-1078 - Canyu Zhang, Feiping Nie, Rong Wang:
Anchor Guided Unsupervised Domain Adaptation. 1079-1090 - Longquan Liao, Linjiang Zheng, Jiaxing Shang, Xu Li, Fengwen Chen:
ATPF: An Adaptive Temporal Perturbation Framework for Adversarial Attacks on Temporal Knowledge Graph. 1091-1104 - Hongchao Qin, Gao Sen, Rong-Hua Li, Hongzhi Chen, Ye Yuan, Guoren Wang:
Colorful Star Motif Counting: Concepts, Algorithms and Applications. 1105-1125 - Yunfei Yin, Yiming Pan, Xianjian Bao, Faliang Huang:
Conversational Recommendations With User Entity Focus and Multi-Granularity Latent Variable Enhancement. 1126-1139 - Zhe Zhao, Pengkun Wang, Xu Wang, Haibin Wen, Xiaolong Xie, Zhengyang Zhou, Qingfu Zhang, Yang Wang:
Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks. 1140-1153 - Ling Cheng, Feida Zhu, Qian Shao, Jiashu Pu, Fengzhu Zeng:
Early Detection of Malicious Crypto Addresses With Asset Path Tracing and Selection. 1154-1166 - Xu Cheng, Fan Shi, Yao Zhang, Huan Li, Xiufeng Liu, Shengyong Chen:
FRAME: Feature Rectification for Class Imbalance Learning. 1167-1181 - Can Gao, Xiaofeng Tan, Jie Zhou, Weiping Ding, Witold Pedrycz:
Fuzzy Granule Density-Based Outlier Detection With Multi-Scale Granular Balls. 1182-1197 - Kai Wang, Dan Lin, Siqiang Luo:
Graph Percolation Embeddings for Efficient Knowledge Graph Inductive Reasoning. 1198-1212 - Xueqi Cheng, Yuanzheng Wang, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Keping Bi:
GSM-EL: A Generalizable Symbol-Manipulation Approach for Entity Linking. 1213-1226 - Waqar Ali, Khalid Umer, Xiangmin Zhou, Jie Shao:
HidAttack: An Effective and Undetectable Model Poisoning Attack to Federated Recommenders. 1227-1240 - Shenghong He, Chao Yu, Qian Lin, Shangqin Mao, Bo Tang, Qianlong Xie, Xingxing Wang:
Hierarchical Multi-Agent Meta-Reinforcement Learning for Cross-Channel Bidding. 1241-1254 - Zhida Qin, Wentao Cheng, Wenxing Ding, Gangyi Ding:
Hyperbolic Graph Contrastive Learning for Collaborative Filtering. 1255-1267 - Zhaolong Ling, Jingxuan Wu, Yiwen Zhang, Peng Zhou, Xingyu Wu, Kui Yu, Xindong Wu:
Label-Aware Causal Feature Selection. 1268-1281 - Youwen Zhu, Yuanyuan Hong, Qiao Xue, Xiao Lan, Yushu Zhang, Yong Xiang:
LDGI: Location-Discriminative Geo-Indistinguishability for Location Privacy. 1282-1293 - Jian Chen, Hong Gao, Yuhong Shi, Junle Chen, Donghua Yang, Jianzhong Li:
Maximizing Influence Query Over Indoor Trajectories. 1294-1310 - Wenfei Wu, Yuchen Xu:
MimoSketch: A Framework for Frequency-Based Mining Tasks on Multiple Nodes With Sketches. 1311-1324 - Liangmin Guo, Shiming Zhou, Haiyue Tang, Xiaoyao Zheng, Yonglong Luo:
Multi-Behavior Hypergraph Contrastive Learning for Session-Based Recommendation. 1325-1338 - Ya-Wen Teng, Yishuo Shi, De-Nian Yang, Chih-Hua Tai, Philip S. Yu, Ming-Syan Chen:
Multi-Grade Revenue Maximization for Promotional and Competitive Viral Marketing in Social Networks. 1339-1353 - Jie Liu, Chunhai Zhang, Zhicheng He, Wenzheng Zhang, Na Li:
Network-to-Network: Self-Supervised Network Representation Learning via Position Prediction. 1354-1365 - Xuan Rao, Renhe Jiang, Shuo Shang, Lisi Chen, Peng Han, Bin Yao, Panos Kalnis:
Next Point-of-Interest Recommendation With Adaptive Graph Contrastive Learning. 1366-1379 - Chao Fu, Guannan Liu, Kun Yuan, Junjie Wu:
Nowhere to H2IDE: Fraud Detection From Multi-Relation Graphs via Disentangled Homophily and Heterophily Identification. 1380-1393 - Sanfeng Zhang, Luyao Huang, Zheng Zhang, Wenduan Xu, Wang Yang, Linfeng Liu:
RMD-Graph: Adversarial Attacks Resisting Malicious Domain Detection Based on Dual Denoising. 1394-1410 - Zhanbo Feng, Yuanjie Wang, Jie Li, Fan Yang, Jiong Lou, Tiebin Mi, Robert Caiming Qiu, Zhenyu Liao:
Robust and Communication-Efficient Federated Domain Adaptation via Random Features. 1411-1424 - Weichao Yan, Hao Ma, Zaiyue Yang:
Segmented Sequence Prediction Using Variable-Order Markov Model Ensemble. 1425-1438 - Hanxuan Wang, Na Lu, Zixuan Wang, Yuxuan Yan, Gustavo Carneiro, Zhen Wang:
Self-Correcting Clustering. 1439-1454 - Bingxu Zhang, Changjun Fan, Shixuan Liu, Kuihua Huang, Xiang Zhao, Jincai Huang, Zhong Liu:
The Expressive Power of Graph Neural Networks: A Survey. 1455-1474 - Yan Lin, Zeyu Zhou, Yichen Liu, Haochen Lv, Haomin Wen, Tianyi Li, Yushuai Li, Christian S. Jensen, Shengnan Guo, Youfang Lin, Huaiyu Wan:
UniTE: A Survey and Unified Pipeline for Pre-Training Spatiotemporal Trajectory Embeddings. 1475-1494 - Zhenyu Guo, Qinghua Shang, Xin Li, Chengyi Li, Zijian Zhang, Zhuo Zhang, Jingjing Hu, Jincheng An, Chuanming Huang, Yang Chen, Yuguang Cai:
Web-FTP: A Feature Transferring-Based Pre-Trained Model for Web Attack Detection. 1495-1507
Volume 37, Number 4, April 2025
- Yikai Zhao, Wei Zhou, Wenchen Han, Zheng Zhong, Yinda Zhang, Xiuqi Zheng, Tong Yang, Bin Cui:
Achieving Top-$K$K-fairness for Finding Global Top-$K$K Frequent Items. 1508-1526 - Jiahang Tu, Xijia Tang, Shilin Gu, Yucong Dai, Ruidong Fan, Chenping Hou:
Adaptive Learning in Imbalanced Data Streams With Unpredictable Feature Evolution. 1527-1541 - Wenhui Liu, Jiapeng Zhu, Lyu Ni, Jingyu Bi, Zhijian Wu, Jiajie Long, Mengyao Gao, Dingjiang Huang, Shuigeng Zhou:
Adversarial Conservative Alternating Q-Learning for Credit Card Debt Collection. 1542-1555 - Fuyuan Xiao, Weiping Ding, Witold Pedrycz:
A Generalized $f$f-Divergence With Applications in Pattern Classification. 1556-1570 - Zhiwen Zhang, Wei Yuan, Zipei Fan, Xuan Song, Ryosuke Shibasaki:
AISFuser: Encoding Maritime Graphical Representations With Temporal Attribute Modeling for Vessel Trajectory Prediction. 1571-1584 - Qingqing Yi, Jingjing Tang, Xiangyu Zhao, Yujian Zeng, Zengchun Song, Jia Wu:
An Adaptive Entire-Space Multi-Scenario Multi-Task Transfer Learning Model for Recommendations. 1585-1598 - Haitao Lin, Cheng Tan, Lirong Wu, Zicheng Liu, Zhangyang Gao, Stan Z. Li:
An Extensive Survey With Empirical Studies on Deep Temporal Point Process. 1599-1619 - Fangzhi Xu, Qika Lin, Jiawei Han, Tianzhe Zhao, Jun Liu, Erik Cambria:
Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond. 1620-1634 - Yuren Mao, Yu Hao, Xin Cao, Yunjun Gao, Chang Yao, Xuemin Lin:
Boosting GNN-Based Link Prediction via PU-AUC Optimization. 1635-1649 - Zihan Zhang, Xiao Ding, Xia Liang, Yusheng Zhou, Bing Qin, Ting Liu:
Brain and Cognitive Science Inspired Deep Learning: A Comprehensive Survey. 1650-1671 - James Jianqiao Yu, Xinwei Fang, Shiyao Zhang, Yuxin Ma:
CLEAR: Spatial-Temporal Traffic Data Representation Learning for Traffic Prediction. 1672-1687 - Linxiao Yu, Jun Tao, Yifan Xu, Haotian Wang:
CloudRGK: Towards Private Similarity Measurement Between Graphs on the Cloud. 1688-1701 - Hyeongjun Yang, Donghyun Kim, Gayeon Park, Kyuhwan Yeom, Kyong-Ho Lee:
CoreSense: Social Commonsense Knowledge-Aware Context Refinement for Conversational Recommender System. 1702-1713 - Xinjie Sun, Kai Zhang, Qi Liu, Shuanghong Shen, Fei Wang, Yuxiang Guo, Enhong Chen:
DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing. 1714-1727 - Dongxiao He, Jiaqi Cui, Xiaobao Wang, Guojie Song, Yuxiao Huang, Lingfei Wu:
Dual Enhanced Meta-Learning With Adaptive Task Scheduler for Cold-Start Recommendation. 1728-1741 - Shubham Gupta, Abhishek Rajora, Suman Kundu:
EA$^{2}$2N: Evidence-Based AMR Attention Network for Fake News Detection. 1742-1752 - Van Long Ho, Nguyen Ho, Torben Bach Pedersen, Panagiotis Papapetrou:
Efficient Generalized Temporal Pattern Mining in Time Series Using Mutual Information. 1753-1771 - Yunyong Ko, Hanghang Tong, Sang-Wook Kim:
Enhancing Hyperedge Prediction With Context-Aware Self-Supervised Learning. 1772-1784 - Zhiyu Liang, Zheng Liang, Hongzhi Wang, Bo Zheng:
FedDict: Towards Practical Federated Dictionary-Based Time Series Classification. 1785-1803 - Pengfei Ding, Yan Wang, Guanfeng Liu, Nan Wang, Xiaofang Zhou:
Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs. 1804-1818 - Xinyi Gao, Junliang Yu, Tong Chen, Guanhua Ye, Wentao Zhang, Hongzhi Yin:
Graph Condensation: A Survey. 1819-1837 - Fanghui Bi, Tiantian He, Yew-Soon Ong, Xin Luo:
Graph Linear Convolution Pooling for Learning in Incomplete High-Dimensional Data. 1838-1852 - Ling Li, Hilde Verbeek, Huiping Chen, Grigorios Loukides, Robert Gwadera, Leen Stougie, Solon P. Pissis:
Heavy Nodes in a Small Neighborhood: Exact and Peeling Algorithms With Applications. 1853-1870 - Minghe Yu, Yun Zhang, Jintong Sun, Min Huang, Tiancheng Zhang, Ge Yu:
HG-SCC: A Subgraph-Aware Convolutional Few-Shot Classification Method on Heterogeneous Graphs. 1871-1884 - Shuai Wang, Hai Wang, Li Lin, Xiaohui Zhao, Tian He, Dian Shen, Wei Xi:
HPST-GT: Full-Link Delivery Time Estimation Via Heterogeneous Periodic Spatial-Temporal Graph Transformer. 1885-1901 - Zhao Li, Xin Wang, Jun Zhao, Wenbin Guo, Jianxin Li:
HyCubE: Efficient Knowledge Hypergraph 3D Circular Convolutional Embedding. 1902-1914 - Lei Sang, Yu Wang, Yi Zhang, Yiwen Zhang, Xindong Wu:
Intent-Guided Heterogeneous Graph Contrastive Learning for Recommendation. 1915-1929 - Zihe Liu, Jie Lu, Junyu Xuan, Guangquan Zhang:
Learning Latent and Changing Dynamics in Real Non-Stationary Environments. 1930-1942 - Taiyu Ban, Lyuzhou Chen, Derui Lyu, Xiangyu Wang, Qinrui Zhu, Huanhuan Chen:
LLM-Driven Causal Discovery via Harmonized Prior. 1943-1960 - Siyi Lv, Yanyu Huang, Xinhao Li, Tong Li, Liang Guo, Xiaofeng Chen, Zheli Liu:
LUNA: Efficient Backward-Private Dynamic Symmetric Searchable Encryption Scheme With Secure Deletion in Encrypted Database. 1961-1974 - Zhiwei Zuo, Zhuo Tang, Kenli Li, Anwitaman Datta:
Machine Unlearning Through Fine-Grained Model Parameters Perturbation. 1975-1988 - Di Luo, Shuqi Li, Weiheng Liao, Rui Yan:
MagicNet: Memory-Aware Graph Interactive Causal Network for Multivariate Stock Price Movement Prediction. 1989-2000 - Zihan Wang, Yonghui Yang, Le Wu, Richang Hong, Meng Wang:
Making Non-Overlapping Matters: An Unsupervised Alignment Enhanced Cross-Domain Cold-Start Recommendation. 2001-2014 - Shanshan Feng, Guoxin Yu, Dawei Liu, Han Hu, Yong Luo, Hui Lin, Yew-Soon Ong:
MHR: A Multi-Modal Hyperbolic Representation Framework for Fake News Detection. 2015-2028 - Li Han, Longxun Wang, Ziyang Cheng, Bo Wang, Guang Yang, Dawei Cheng, Xuemin Lin:
Mitigating the Tail Effect in Fraud Detection by Community Enhanced Multi-Relation Graph Neural Networks. 2029-2041 - Jianhua Dai, Wenxiang Chen, Yuhua Qian:
Multi-Label Feature Selection With Missing Features via Implicit Label Replenishment and Positive Correlation Feature Recovery. 2042-2055 - Mengyi Liu, Xieyang Wang, Jianqiu Xu, Hua Lu, Yongxin Tong:
NALSpatial: A Natural Language Interface for Spatial Databases. 2056-2070 - Zhangchi Zhu, Wei Zhang:
Preference-Consistent Knowledge Distillation for Recommender System. 2071-2084 - Jingyi Gu, Wenlu Du, Guiling Wang:
RAGIC: Risk-Aware Generative Framework for Stock Interval Construction. 2085-2096 - Junjie Liu, Junlong Liu, Rongxin Jiang, Yaowu Chen, Chen Shen, Jieping Ye:
Self-Learning Symmetric Multi-View Probabilistic Clustering. 2097-2110 - Junjian Shi, Ye Han, Xiaojie Guo, Zekun Fei, Zheli Liu, Siyi Lv, Tong Li, Xiaotao Liu:
SMPCache: Towards More Efficient SQL Queries in Multi-Party Collaborative Data Analysis. 2111-2125 - Hao Miao, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Christian S. Jensen:
Spatio-Temporal Prediction on Streaming Data: A Unified Federated Continuous Learning Framework. 2126-2140 - Letian Gong, Shengnan Guo, Yan Lin, Yichen Liu, Erwen Zheng, Yiwei Shuang, Youfang Lin, Jilin Hu, Huaiyu Wan:
STCDM: Spatio-Temporal Contrastive Diffusion Model for Check-In Sequence Generation. 2141-2154 - Zhimao Gong, Zhibang Yang, Shenghong Yang, Siyang Yu, Kenli Li, Mingxing Duan:
Towards Accurate Truth Discovery With Privacy-Preserving Over Crowdsourced Data Streams. 2155-2168
Volume 37, Number 5, May 2025
- Dianer Yu, Qian Li, Xiangmeng Wang, Guandong Xu:
A Causal-Based Attribute Selection Strategy for Conversational Recommender Systems. 2169-2182 - Hao Sun, Jianping Li, Xiaoqian Zhu:
A Novel Expandable Borderline Smote Over-Sampling Method for Class Imbalance Problem. 2183-2199 - Wanjin Feng, Xingyu Gao, Peilin Zhao, Steven C. H. Hoi:
A Unified Framework for Bandit Online Multiclass Prediction. 2200-2211 - Yuan Yuan, Jingtao Ding, Jie Feng, Depeng Jin, Yong Li:
A Universal Pre-Training and Prompting Framework for General Urban Spatio-Temporal Prediction. 2212-2225 - Xiao Zhang, Peng Bao:
Adaptive Reliable Defense Graph for Multi-Channel Robust GCN. 2226-2238 - Zemin Chao, Hong Gao, Dongjing Miao, Jianzhong Li, Hongzhi Wang:
An Amortized O(1) Lower Bound for Dynamic Time Warping in Motif Discovery. 2239-2252 - Mouxiang Chen, Han Fu, Chenghao Liu, Xiaoyun Joy Wang, Zhuo Li, Jianling Sun:
Build a Good Human-Free Prompt Tuning: Jointly Pre-Trained Template and Verbalizer for Few-Shot Classification. 2253-2265 - Sitao Min, Hafiz Salman Asif, Xinyue Wang, Jaideep Vaidya:
Cafe: Improved Federated Data Imputation by Leveraging Missing Data Heterogeneity. 2266-2281 - Jiyuan Feng, Xu Yang, Liwen Liang, Weihong Han, Binxing Fang, Qing Liao:
CGoFed: Constrained Gradient Optimization Strategy for Federated Class Incremental Learning. 2282-2295 - Yang Yang, Wei Shen, Junfeng Shu, Yinan Liu, Edward Curry, Guoliang Li:
CMVC+: A Multi-View Clustering Framework for Open Knowledge Base Canonicalization Via Contrastive Learning. 2296-2310 - Jiaxing Li, Wai Keung Wong, Lin Jiang, Kaihang Jiang, Xiaozhao Fang, Shengli Xie, Jie Wen:
Collaboratively Semantic Alignment and Metric Learning for Cross-Modal Hashing. 2311-2328 - Yang Zhang, Fuli Feng, Jizhi Zhang, Keqin Bao, Qifan Wang, Xiangnan He:
CoLLM: Integrating Collaborative Embeddings Into Large Language Models for Recommendation. 2329-2340 - Qihang Guo, Xibei Yang, Weiping Ding, Yuhua Qian:
Cross-Graph Interaction Networks. 2341-2355 - Ou Wu, Rujing Yao:
Data Optimization in Deep Learning: A Survey. 2356-2375 - Hanqing Chen, Shuai Ma, Junfeng Liu, Lizhen Cui:
Discovery of Temporal Network Motifs. 2376-2390 - Yuli Liu, Yuan Zhang:
Diversity-Promoting Recommendation With Dual-Objective Optimization and Dual Consideration. 2391-2404 - Shangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao:
Do as I Can, Not as I Get: Topology-Aware Multi-Hop Reasoning on Multi-Modal Knowledge Graphs. 2405-2419 - Nicolai A. Weinreich, Arman Oshnoei, Remus Teodorescu, Kim G. Larsen:
Doing More With Less: A Survey of Data Selection Methods for Mathematical Modeling. 2420-2439 - Shanshan Wang, Fangzheng Yuan, Keyang Wang, Xun Yang, Xingyi Zhang, Meng Wang:
Dual-State Personalized Knowledge Tracing With Emotional Incorporation. 2440-2455 - Tuanfei Zhu, Xingchen Hu, Xinwang Liu, En Zhu, Xinzhong Zhu, Huiying Xu:
Dynamic Ensemble Framework for Imbalanced Data Classification. 2456-2471 - Dejun Teng, Zhaochuan Li, Zhaohui Peng, Shuai Ma, Fusheng Wang:
Efficient and Accurate Spatial Queries Using Lossy Compressed 3D Geometry Data. 2472-2487 - Manish Pandit, Ranjana Sodhi:
Efficient PMU Data Compression Using Enhanced Graph Filtering Enabled Principal Component Analysis. 2488-2500 - Sheng Xiang, Guibin Zhang, Dawei Cheng, Ying Zhang:
Enhancing Attribute-Driven Fraud Detection With Risk-Aware Graph Representation. 2501-2512 - Laurence A. F. Park, Jesse Read:
Estimating Multi-Label Expected Accuracy Using Labelset Distributions. 2513-2524 - Jing Zhao, Xinzhu Zhang, Yujia Li, Shiliang Sun:
Few-Shot Knowledge Graph Completion With Star and Ring Topology Information Aggregation. 2525-2537 - Matej Mihelcic, Pauli Miettinen:
Finding Rule-Interpretable Non-Negative Data Representation. 2538-2549 - Kung-Hsiang Huang, Hou Pong Chan, May Fung, Haoyi Qiu, Mingyang Zhou, Shafiq Joty, Shih-Fu Chang, Heng Ji:
From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models. 2550-2568 - Wenya Hu, Jia Wu, Quan Qian:
GAFExplainer: Global View Explanation of Graph Neural Networks Through Attribute Augmentation and Fusion Embedding. 2569-2583 - Yuzheng Cai, Siyuan Liu, Weiguo Zheng, Xuemin Lin, Chengbo Zhang, Xuecang Zhang:
Generating $k$kk-Hop-Constrained $s$ss-$t$tt Path Graphs. 2584-2599 - Jingwei Chen, Zihan Wu, Jingqing Cheng, Xiaohua Xu, Feiping Nie:
Graph Clustering With Harmonic-Maxmin Cut Guidance. 2600-2613 - Ruichang Li, Xiangwu Meng, Yujie Zhang:
Group-Aware Dynamic Graph Representation Learning for Next POI Recommendation. 2614-2625 - Rujia Shen, Muhan Li, Chao Zhao, Boran Wang, Yi Guan, Jie Liu, Jingchi Jiang:
Hierarchical Causal Discovery From Large-Scale Observed Variables. 2626-2639 - Jian Wang, Jianrong Wang, Di Jin, Xinglong Chang:
Hypergraph Collaborative Filtering With Adaptive Augmentation of Graph Data for Recommendation. 2640-2651 - Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Sunghun Kim, Philip S. Yu:
Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation With Pre-Training. 2652-2664 - Haojie Li, Junwei Du, Guanfeng Liu, Feng Jiang, Yan Wang, Xiaofang Zhou:
Intent Propagation Contrastive Collaborative Filtering. 2665-2679 - Paul Boniol, Donato Tiano, Angela Bonifati, Themis Palpanas:
-Graph: A Graph Embedding for Interpretable Time Series Clustering. 2680-2694 - Xiangyu Wang, Taiyu Ban, Lyuzhou Chen, Derui Lyu, Qinrui Zhu, Huanhuan Chen:
Large-Scale Hierarchical Causal Discovery via Weak Prior Knowledge. 2695-2711 - Akihiro Yamaguchi, Ken Ueno, Hisashi Kashima:
Learning Location-Guided Time-Series Shapelets. 2712-2726 - Haoran Tang, Shiqing Wu, Zhihong Cui, Yicong Li, Guandong Xu, Qing Li:
Model-Agnostic Dual-Side Online Fairness Learning for Dynamic Recommendation. 2727-2742 - Shaoyi Yin, Franck Morvan, Jorge Martinez-Gil, Abdelkader Hameurlain:
MTD-DS: An SLA-Aware Decision Support Benchmark for Multi-Tenant Parallel DBMSs. 2743-2755 - LinYu Li, Zhi Jin, Xuan Zhang, Haoran Duan, Jishu Wang, Zhengwei Tao, Haiyan Zhao, Xiaofeng Zhu:
Multi-View Riemannian Manifolds Fusion Enhancement for Knowledge Graph Completion. 2756-2770 - Jie Chen, Hua Mao, Wai Lok Woo, Chuanbin Liu, Zhu Wang, Xi Peng:
One-Step Adaptive Graph Learning for Incomplete Multiview Subspace Clustering. 2771-2783 - Mengxuan Zhang, Xinjie Zhou, Lei Li, Xiaofang Zhou:
Partitioned Dynamic Hub Labeling for Large Road Networks. 2784-2801 - Kai Zhang, Boli Hu, Jianting Ning, Junqing Gong, Haifeng Qian:
Pattern Hiding and Authorized Searchable Encryption for Data Sharing in Cloud Storage. 2802-2815 - Shankui Ji, Yang Du, He Huang, Yu-E Sun, Jia Liu, Yapeng Shu:
PipeFilter: Parallelizable and Space-Efficient Filter for Approximate Membership Query. 2816-2830 - Lei Guan, Dongsheng Li, Yongle Chen, Jiye Liang, Wenjian Wang, Xicheng Lu:
PipeOptim: Ensuring Effective 1F1B Schedule With Optimizer-Dependent Weight Prediction. 2831-2845 - Qiaoer Xu, Jianfeng Wang, Shifeng Sun, Zhipeng Liu, Xiaofeng Chen:
Practical Equi-Join Over Encrypted Database With Reduced Leakage. 2846-2860 - Shuting Wang, Zhicheng Dou, Kexiang Wang, Dehong Ma, Jun Fan, Daiting Shi, Zhicong Cheng, Simiu Gu, Dawei Yin, Ji-Rong Wen:
PRADA: Pre-Train Ranking Models With Diverse Relevance Signals Mined From Search Logs. 2861-2873 - Yijun Li, Cheuk Hang Leung, Qi Wu:
Probabilistic Learning of Multivariate Time Series With Temporal Irregularity. 2874-2887 - Yuqi Feng, Yanan Sun, Gary G. Yen, Kay Chen Tan:
REP: An Interpretable Robustness Enhanced Plugin for Differentiable Neural Architecture Search. 2888-2902 - Junwei Cheng, Yong Tang, Chaobo He, Pengxing Feng, Kunlin Han, Quanlong Guan:
Rethinking Variational Bayes in Community Detection From Graph Signal Perspective. 2903-2917 - Ben Yang, Xuetao Zhang, Jinghan Wu, Feiping Nie, Fei Wang, Badong Chen:
Scalable Min-Max Multi-View Spectral Clustering. 2918-2931 - Siwei Wang, Xinwang Liu, Qing Liao, Yi Wen, En Zhu, Kunlun He:
Scalable Multi-View Graph Clustering With Cross-View Corresponding Anchor Alignment. 2932-2945 - Justus Isaiah Hibshman, Adnan Hoq, Tim Weninger:
SCHENO: Measuring Schema vs. Noise in Graphs. 2946-2957 - Xingfei Wang, Ke Zhang, Muyuan Niu, Xiaofen Wang:
SemSI-GAT: Semantic Similarity-Based Interaction Graph Attention Network for Knowledge Graph Completion. 2958-2970 - Yuxiang Guo, Yuren Mao, Zhonghao Hu, Lu Chen, Yunjun Gao:
Snoopy: Effective and Efficient Semantic Join Discovery via Proxy Columns. 2971-2985 - Yang An, Zhibin Li, Xiaoyu Li, Wei Liu, Xinghao Yang, Haoliang Sun, Meng Chen, Yu Zheng, Yongshun Gong:
Spatio-Temporal Multivariate Probabilistic Modeling for Traffic Prediction. 2986-3000 - Suguru Yasutomi, Toshihisa Tanaka:
Style Feature Extraction Using Contrastive Conditioned Variational Autoencoders With Mutual Information Constraints. 3001-3014 - Tianhao Peng, Haitao Yuan, Yongqi Zhang, Yuchen Li, Peihong Dai, Qunbo Wang, Senzhang Wang, Wenjun Wu:
TagRec: Temporal-Aware Graph Contrastive Learning With Theoretical Augmentation for Sequential Recommendation. 3015-3029 - Jianyang Qin, Yan Jia, Binxing Fang, Qing Liao:
TaylorS: A Multi-Order Expansion Structure for Urban Spatio-Temporal Forecasting. 3030-3046 - Lijie Hu, Xinhai Wang, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang:
Towards Stable and Explainable Attention Mechanisms. 3047-3061 - Yuanning Cui, Zequn Sun, Wei Hu:
Transfer-and-Fusion: Integrated Link Prediction Across Knowledge Graphs. 3062-3074
Volume 37, Number 6, June 2025
- Areej Alsini, Du Q. Huynh, Amitava Datta:
#REval: A Semantic Evaluation Framework for Hashtag Recommendation. 3075-3087 - Jun Zhang, Jue Wang, Huan Li, Zhongle Xie, Ke Chen, Lidan Shou:
${\sf CHASe}$CHASe: Client Heterogeneity-Aware Data Selection for Effective Federated Active Learning. 3088-3102 - Jihao Shi, Xiao Ding, Siu Cheung Hui, Yuxiong Yan, Hengwei Zhao, Ting Liu, Bing Qin:
Final: Combining First-Order Logic With Natural Logic for Question Answering. 3103-3117 - Songwei Zhao, Bo Yu, Kang Yang, Sinuo Zhang, Jifeng Hu, Yuan Jiang, Philip S. Yu, Hechang Chen:
A Flexible Diffusion Convolution for Graph Neural Networks. 3118-3131 - Zemin Liu, Yuan Li, Nan Chen, Qian Wang, Bryan Hooi, Bingsheng He:
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions. 3132-3152 - Qianru Zhang, Peng Yang, Junliang Yu, Haixin Wang, Xingwei He, Siu-Ming Yiu, Hongzhi Yin:
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security. 3153-3172 - Lu Ma, Zeang Sheng, Xunkai Li, Xinyi Gao, Zhezheng Hao, Ling Yang, Xiaonan Nie, Jiawei Jiang, Wentao Zhang, Bin Cui:
Acceleration Algorithms in GNNs: A Survey. 3173-3192 - Min Han, Qipeng Wang:
Adaptive Graph Convolution Neural Differential Equation for Spatio-Temporal Time Series Prediction. 3193-3204 - Qinkang Gong, Yan Pan, Hanjiang Lai, Rongbang Qiu, Jian Yin:
Causal-TSF: A Causal Intervention Approach to Mitigate Confounding Bias in Time Series Forecasting. 3205-3219 - Huan Rong, Wenxuan Ji, Tinghuai Ma, Weiyi Ding, Victor S. Sheng:
CogLign: Interpretable Text Sentiment Determination by Aligning Cognition Between EEG-Derived Brain Graph and Text-Derived Knowledge Graph. 3220-3239 - Depeng Li, Zhigang Zeng, Wei Dai, Ponnuthurai Nagaratnam Suganthan:
Complementary Learning Subnetworks Towards Parameter-Efficient Class-Incremental Learning. 3240-3252 - Haocheng Xia, Jiayao Zhang, Qiheng Sun, Jinfei Liu, Kui Ren, Li Xiong, Jian Pei:
Computing Shapley Values for Dynamic Data. 3253-3271 - Xinyu Chen, HanQin Cai, Fuqiang Liu, Jinhua Zhao:
Correlating Time Series With Interpretable Convolutional Kernels. 3272-3283 - Dongxiao He, Jitao Zhao, Rui Guo, Zhiyong Feng, Cuiying Huo, Di Jin, Witold Pedrycz, Weixiong Zhang:
Distill & Contrast: A New Graph Self-Supervised Method With Approximating Nature Data Relationships. 3284-3297 - Zuohan Wu, Chen Jason Zhang, Han Yin, Rui Meng, Libin Zheng, Huaijie Zhu, Wei Liu:
DRLPG: Reinforced Opponent-Aware Order Pricing for Hub Mobility Services. 3298-3311 - Xihong Yang, Yiqi Wang, Jin Chen, Wenqi Fan, Xiangyu Zhao, En Zhu, Xinwang Liu, Defu Lian:
Dual Test-Time Training for Out-of-Distribution Recommender System. 3312-3326 - Xiang Li, Chaofan Fu, Zhongying Zhao, Guangjie Zheng, Chao Huang, Yanwei Yu, Junyu Dong:
Dual-Channel Multiplex Graph Neural Networks for Recommendation. 3327-3341 - Xiaotian Zhou, Ahad N. Zehmakan, Zhongzhi Zhang:
Efficient Algorithms for Minimizing the Kirchhoff Index via Adding Edges. 3342-3355 - Xiaobao Wang, Yujing Wang, Dongxiao He, Zhe Yu, Yawen Li, Longbiao Wang, Jianwu Dang, Di Jin:
Elevating Knowledge-Enhanced Entity and Relationship Understanding for Sarcasm Detection. 3356-3371 - Wenjie Li, Kai Fan, Jingyuan Zhang, Hui Li, Wei Yang Bryan Lim, Qiang Yang:
Enhancing Security and Privacy in Federated Learning Using Low-Dimensional Update Representation and Proximity-Based Defense. 3372-3385 - Jason Niu, Jaroslaw Zola, Ahmet Erdem Sariyüce:
Fast Counting and Utilizing Induced 6-Cycles in Bipartite Networks. 3386-3398 - Binhong Li, Licheng Lin, Shijie Zhang, Jianliang Xu, Jiang Xiao, Bo Li, Hai Jin:
FlexIM: Efficient and Verifiable Index Management in Blockchain. 3399-3412 - Jinbin Huang, Xin Huang, Jianliang Xu, Byron Choi, Yun Peng:
GPU-Accelerated Structural Diversity Search in Graphs. 3413-3428 - Lyuheng Yuan, Guimu Guo, Danshu Yan, Saugat Adhikari, Jalal Khalil, Cheng Long, Lei Zou:
G-Thinkerq: A General Subgraph Querying System With a Unified Task-Based Programming Model. 3429-3444 - Feihu Che, Jianhua Tao, Qionghai Dai:
Hard or False: Keep the Balance for Negative Sampling in Knowledge Graphs. 3445-3456 - Jiayu Liu, Zhenya Huang, Qi Liu, Zhiyuan Ma, Chengxiang Zhai, Enhong Chen:
Knowledge-Centered Dual-Process Reasoning for Math Word Problems With Large Language Models. 3457-3471 - Kuang Zhou, Ming Jiang, Bogdan Gabrys, Yong Xu:
Learning Causal Representations Based on a GAE Embedded Autoencoder. 3472-3484 - Shengsheng Qian, Shengjie Zhang, Dizhan Xue, Huaiwen Zhang, Changsheng Xu:
Learning Temporal Event Knowledge for Continual Social Event Classification. 3485-3498 - Tao Ji, Kai Zhong, Luming Sun, Yiyan Li, Cuiping Li, Hong Chen:
LIOF: Make the Learned Index Learn Faster With Higher Accuracy. 3499-3513 - Li Ni, Qiuyu Li, Yiwen Zhang, Wenjian Luo, Victor S. Sheng:
Local Community Detection in Multi-Attributed Road-Social Networks. 3514-3527 - Jiahui Li, Junhao Ye, Yuren Mao, Yunjun Gao, Lu Chen:
LOFTune: A Low-Overhead and Flexible Approach for Spark SQL Configuration Tuning. 3528-3542 - Shikang Liu, Xiren Zhou, Huanhuan Chen:
Multiscale Temporal Dynamic Learning for Time Series Classification. 3543-3555 - Yupei Zhang, Xiran Qu, Shuhui Liu, Yan Pang, Xuequn Shang:
Multiscale Weisfeiler-Leman Directed Graph Neural Networks for Prerequisite-Link Prediction. 3556-3569 - Wei Chen, Haoyu Huang, Zhiyu Zhang, Tianyi Wang, Youfang Lin, Liang Chang, Huaiyu Wan:
Next-POI Recommendation via Spatial-Temporal Knowledge Graph Contrastive Learning and Trajectory Prompt. 3570-3582 - Meng Ding, Jing-Hua Yang, Xi-Le Zhao, Jie Zhang, Michael K. Ng:
Nonconvex Low-Rank Tensor Representation for Multi-View Subspace Clustering With Insufficient Observed Samples. 3583-3597 - Victor Junqiu Wei, Di Jiang, Chen Zhang:
On Efficient Single-Source Personalized PageRank Computation in Online Social Networks. 3598-3612 - Shiyue Huang, Ziwei Wang, Yinjun Wu, Yaofeng Tu, Jiankai Wang, Bin Cui:
OpDiag: Unveiling Database Performance Anomalies Through Query Operator Attribution. 3613-3626 - Kun Ma, Cong Xu, Zeyuan Chen, Wei Zhang:
Pattern-Wise Transparent Sequential Recommendation. 3627-3640 - Juanjuan Lin, Zhigang Huang, Yong Tang:
Pricing for Data Assets Based on Data Quality, Quantity and Utility on the Perspective of Consumer Heterogeneity. 3641-3652 - David Kohan Marzagão, Trung Dong Huynh, Ayah Helal, Sean Baccas, Luc Moreau:
Provenance Graph Kernel. 3653-3668 - Hongming Tan, Shaoxiong Zhan, Hai Lin, Hai-Tao Zheng, Wai Kin Chan:
QAEA-DR: A Unified Text Augmentation Framework for Dense Retrieval. 3669-3683 - Kuo Yang, Zhengyang Zhou, Xu Wang, Pengkun Wang, Limin Li, Yang Wang:
RayE-Sub: Countering Subgraph Degradation via Perfect Reconstruction. 3684-3699 - Tao Meng, Shuo Shan, Hongen Shao, Yuntao Shou, Wei Ai, Keqin Li:
SE-GNN: Seed Expanded-Aware Graph Neural Network With Iterative Optimization for Semi-Supervised Entity Alignment. 3700-3713 - Mengying Zhu, Mengyuan Yang, Yan Wang, Fei Wu, Qianqiao Liang, Chaochao Chen, Hua Wei, Xiaolin Zheng:
SPIN: Sparse Portfolio Strategy With Irregular News in Fluctuating Markets. 3714-3727 - Xuan Zheng, Yihang Lu, Rong Wang, Feiping Nie, Xuelong Li:
Structured Graph-Based Ensemble Clustering. 3728-3738 - Xuecheng Ning, Yujie Wang, Kui Yu, Jiali Miao, Fuyuan Cao, Jiye Liang:
Summary Graph Induced Invariant Learning for Generalizable Graph Learning. 3739-3752 - Yucai Pang, Zhou Yang, Qian Li, Shihong Wei, Yunpeng Xiao:
Topic Videolization: A Rumor Detection Method Inspired by Video Forgery Detection Technology. 3753-3765 - Wensheng Gan, Gengsen Huang, Jian Weng, Tianlong Gu, Philip S. Yu:
Towards Target Sequential Rules. 3766-3780 - Wenbo Hu, Xin Sun, Qiang Liu, Le Wu, Liang Wang:
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation. 3781-3793 - Chao Guo, Yang Lu, Nian Xia, Jiguo Li:
User-Friendly and Expressive Forward-Secure Attribute-Based Signature With Server-Aided Signature and Outsourced Verification. 3794-3809 - Ruijia Ma, Yahong Lian, Rongbo Qi, Chunyao Song, Tingjian Ge:
Valid Coverage Oriented Item Perspective Recommendation. 3810-3823 - Xiaoling Zhou, Wei Ye, Zhemg Lee, Lei Zou, Shikun Zhang:
Valuing Training Data via Causal Inference for In-Context Learning. 3824-3840 - Bingxue Zhang, Guangguang Lu, Yuncheng Wu, Kunpeng Ren, Feida Zhu:
Zkfhed: A Verifiable and Scalable Blockchain-Enhanced Federated Learning System. 3841-3854
Volume 37, Number 7, July 2025
- Rui Ye, Qun Dai:
A Data-Level Augmentation Framework for Time Series Forecasting With Ambiguously Related Source Data. 3855-3868 - Mengting Zhang, Weihong Bi:
A Local Community Detection Method Based on Folded Subgraph. 3869-3880 - Xiaobin Rui, Zhixiao Wang, Hao Peng, Wei Chen, Philip S. Yu:
A Scalable Algorithm for Fair Influence Maximization With Unbiased Estimator. 3881-3895 - Weilin Cai, Juyong Jiang, Fan Wang, Jing Tang, Sunghun Kim, Jiayi Huang:
A Survey on Mixture of Experts in Large Language Models. 3896-3915 - Yudi Xiong, Yongxin Guo, Weike Pan, Qiang Yang, Zhong Ming, Xiaojin Zhang, Han Yu, Tao Lin, Xiaoying Tang:
Camouflaged Variational Graph AutoEncoder Against Attribute Inference Attacks for Cross-Domain Recommendation. 3916-3932 - Xinyuan Liu, Jihua Zhu, Qinghai Zheng, Zhongyu Li, Zhiqiang Tian, Mingchen Zhu:
Causal Label Enhancement. 3933-3946 - Yafei Li, Yuke Pan, Guanglei Zhu, Shuo He, Mingliang Xu, Jianliang Xu:
Charging-Aware Task Assignment for Urban Logistics With Electric Vehicles. 3947-3961 - Xinyue Wang, Hafiz Salman Asif, Shashank Gupta, Jaideep Vaidya:
Data Synthesis Reinvented: Preserving Missing Patterns for Enhanced Analysis. 3962-3975 - Chen Xu, Tian Lan, Yu Ji, Changlong Yu, Wei Wang, Jun Gao, Qunxi Dong, Kun Qian, Piji Li, Wei Bi, Bin Hu:
Decider: A Dual-System Rule-Controllable Decoding Framework for Language Generation. 3976-3990 - Lingyi Kong, Jingjing Xue, Feiping Nie, Xuelong Li:
Direct Spectral Clustering With New Graph Learning for Better Fitting. 3991-4002 - Yongye Li, Renjie Sun, Chen Chen, Xiaoyang Wang, Ying Zhang, Wenjie Zhang:
Discovering Cliques in Attribute Graphs Based on Proportional Fairness. 4003-4009 - Shuai Liu, Xiucheng Li, Yile Chen, Yue Jiang, Gao Cong:
Disentangling Dynamics: Advanced, Scalable and Explainable Imputation for Multivariate Time Series. 4010-4022 - Chun-Na Li, Yiwei Song, Yuan-Hai Shao:
Domain Adaptation via Learning Using Statistical Invariant. 4023-4034 - Huan Wang, Junyang Chen, Yirui Wu, Victor C. M. Leung, Di Wang:
EPM: Evolutionary Perception Method for Anomaly Detection in Noisy Dynamic Graphs. 4035-4048 - Chenzhong Bin, Wenqiang Liu, Feng Zhang, Liang Chang, Tianlong Gu:
FairCoRe: Fairness-Aware Recommendation Through Counterfactual Representation Learning. 4049-4062 - Yawen Li, Mengyu Zhuang, Guanhua Ye, Yan Li, Junheng Wang, Jinyi Zhou, Peng-Fei Zhang:
FeBT: A Feature Balancing Transformer for Corporate ESG Forecasting. 4063-4074 - Lei Zhang, Wuji Zhang, Likang Wu, Hongke Zhao:
GCTN: Graph Competitive Transfer Network for Cross-Domain Multi-Behavior Prediction. 4075-4088 - Huijuan Xiao, Shixi Yang, Kai Zhang, Yinan Jing, Zhenying He, X. Sean Wang:
Genie: A Lightweight Serverless Infrastructure for In-Memory Key-Value Caching With Fine-Grained and Prompt Elasticity. 4089-4103 - Min Hu, Zhizhong Tan, Bin Liu, Guosheng Yin:
Graph Portfolio: High-Frequency Factor Predictors via Heterogeneous Continual GNNs. 4104-4116 - Li Shen, Yangzhu Wang, Xuyi Fan, Xu Yang, Huaxin Qiu:
Inconsistent Multivariate Time Series Forecasting. 4117-4130 - Jiatong Li, Wei Liu, Zhihao Ding, Wenqi Fan, Yuqiang Li, Qing Li:
Large Language Models are in-Context Molecule Learners. 4131-4143 - Zhenyu Ma, Jingyu Wang, Feiping Nie, Xuelong Li:
Large-Scale Clustering With Anchor-Based Constrained Laplacian Rank. 4144-4158 - Yang Liu, Hejiao Huang, Kaiqiang Yu, Shengxin Liu, Cheng Long:
Minimum $k$k-Vertex Connected Graph Search. 4159-4165 - Cong Su, Guoxian Yu, Jun Wang, Wei Guo, Yongqing Zheng, Carlotta Domeniconi:
Multi-Dimensional Causality Fairness Learning. 4166-4178 - Chen Liu, Cailan Jiang, Lixin Zhou:
NeuralLoss: A Learnable Pretrained Surrogate Loss for Learning to Rank. 4179-4192 - Yongbo Yu, Zhoumin Lu, Feiping Nie, Weizhong Yu, Zongcheng Miao, Xuelong Li:
Pseudo-Label Guided Bidirectional Discriminative Deep Multi-View Subspace Clustering. 4213-4224 - Xin Liu, Yuxiang Zhang, Meng Wu, Mingyu Yan, Kun He, Wei Yan, Shirui Pan, Xiaochun Ye, Dongrui Fan:
Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack. 4225-4238 - Qiange Wang, Yao Chen, Weng-Fai Wong, Bingsheng He:
Scalable and Load-Balanced Full-Graph GNN Training on Multiple GPUs. 4239-4253 - Jianjun Zhao, Yancan Mao, Zhonghao Yang, Haikun Liu, Shuhao Zhang:
Scalable Transactional Stream Processing on Multicore Processors. 4254-4269 - Yunzhi Ling, Feiping Nie, Weizhong Yu, Xuelong Li:
Self-Labeling and Self-Knowledge Distillation Unsupervised Feature Selection. 4270-4284 - Minxiao Chen, Haitao Yuan, Nan Jiang, Zhihan Zheng, Zhifeng Bao, Ao Zhou, Jiaxin Jiang, Shangguang Wang:
S-MGHSTN: Towards An Effective Streaming Traffic Accident Risk Prediction Framework. 4285-4298 - Haotian Wu, Yuzhe Tang, Zhaoyan Shen, Jun Tao, Chenhao Lin, Zhe Peng:
TELEX: Two-Level Learned Index for Rich Queries on Enclave-Based Blockchain Systems. 4299-4313 - Tao Fan, Hanlin Gu, Xuemei Cao, Chee Seng Chan, Qian Chen, Yiqiang Chen, Yihui Feng, Yang Gu, Jiaxiang Geng, Bing Luo, Shuoling Liu, WinKent Ong, Chao Ren, Jiaqi Shao, Chuan Sun, Xiaoli Tang, Hong Xi Tae, Yongxin Tong, Shuyue Wei, Fan Wu, Wei Xi, Mingcong Xu, He Yang, Xin Yang, Jiangpeng Yan, Hao Yu, Han Yu, Teng Zhang, Yifei Zhang, Xiaojin Zhang, Zhenzhe Zheng, Lixin Fan, Qiang Yang:
Ten Challenging Problems in Federated Foundation Models. 4314-4337 - Danyang Wu, Penglei Wang, Jitao Lu, Zhanxuan Hu, Hongming Zhang, Feiping Nie:
Triangle Topology Enhancement for Multi-View Graph Clustering. 4338-4348 - Xiao Zhou, Zhongxiang Zhao, Hanze Guo:
Tricolore: Multi-Behavior User Profiling for Enhanced Candidate Generation in Recommender Systems. 4349-4360 - Kenny Ye Liang, Yunxiang Su, Shaoxu Song, Chunping Li:
Turn Waste Into Wealth: On Efficient Clustering and Cleaning Over Dirty Data. 4361-4372 - Yuanyuan Xu, Wenjie Zhang, Xuemin Lin, Ying Zhang:
UniDyG: A Unified and Effective Representation Learning Approach for Large Dynamic Graphs. 4373-4388 - Jiaoyan Chen, Olga Mashkova, Fernando Zhapa-Camacho, Robert Hoehndorf, Yuan He, Ian Horrocks:
Ontology Embedding: A Survey of Methods, Applications and Resources. 4193-4212
Volume 37, Number 8, August 2025
- Ziwen Zhao, Yixin Su, Yuhua Li, Yixiong Zou, Ruixuan Li, Rui Zhang:
A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective. 4389-4410 - Xiaokun Zhang, Bo Xu, Chenliang Li, Bowei He, Hongfei Lin, Chen Ma, Fenglong Ma:
A Survey on Side Information-Driven Session-Based Recommendation: From a Data-Centric Perspective. 4411-4431 - Zhanpeng Guan, Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Fei Wang, Zhulin An, Yongjun Xu:
AdaE: Knowledge Graph Embedding With Adaptive Embedding Sizes. 4432-4445 - Xiaoyu Li, Yitian Zhang, Guodong Long, Yupeng Hu, Wenpeng Lu, Meng Chen, Chengqi Zhang, Yongshun Gong:
Adaptive Traffic Forecasting on Daily Basis: A Spatio-Temporal Context Learning Approach. 4446-4459 - Enhao Zhang, Chaohua Li, Chuanxing Geng, Songcan Chen:
All-Around Neural Collapse for Imbalanced Classification. 4460-4470 - Shuai Li, Jie Yang, Huanan Bao, Deyou Xia, Qinghua Zhang, Guoyin Wang:
Cost-Sensitive Neighborhood Granularity Selection for Hierarchical Classification. 4471-4484 - Zahra Zamanzadeh Darban, Yiyuan Yang, Geoffrey I. Webb, Charu C. Aggarwal, Qingsong Wen, Shirui Pan, Mahsa Salehi:
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series. 4485-4496 - Mengnan Qi, Shasha Mao, Yimeng Zhang, Jing Gu, Shuiping Gou, Licheng Jiao, Yuming Zhang:
DASCE: Long-Tailed Data Augmentation Based Sparse Class-Correlation Exploitation. 4497-4511 - Zitao Liu, Teng Guo, Qianru Liang, Mingliang Hou, Bojun Zhan, Jiliang Tang, Weiqi Luo, Jian Weng:
Deep Learning Based Knowledge Tracing: A Review, a Tool and Empirical Studies. 4512-4536 - Zhe Chen, Xiaojun Wu, Tianyang Xu, Josef Kittler:
DFL-Net: Disentangled Feature Learning Network for Multi-View Clustering. 4537-4547 - Zhangtao Cheng, Yang Liu, Ting Zhong, Kunpeng Zhang, Fan Zhou, Philip S. Yu:
Disentangling Inter- and Intra-Cascades Dynamics for Information Diffusion Prediction. 4548-4563 - Xueyao Sun, Kaize Shi, Haoran Tang, Dingxian Wang, Guandong Xu, Qing Li:
Educating Language Models as Promoters: Multi-Aspect Instruction Alignment With Self-Augmentation. 4564-4577 - Shunyang Li, Kai Wang, Wenjie Zhang, Xuemin Lin, Yizhang He:
Efficient Bitruss Decomposition on GPU. 4578-4590 - Fangyuan Xie, Jingjing Xue, Feiping Nie, Weizhong Yu, Xuelong Li:
Fast Anchor Graph Clustering via Maximizing Within-Cluster Similarity. 4591-4603 - Yunyao Cheng, Chenjuan Guo, Kaixuan Chen, Kai Zhao, Bin Yang, Jiandong Xie, Christian S. Jensen, Feiteng Huang, Kai Zheng:
Gaussian Process Latent Variable Modeling for Few-Shot Time Series Forecasting. 4604-4619 - Syed Shafat Ali, Ajay Rastogi, Tarique Anwar, Syed Afzal Murtaza Rizvi, Jian Yang, Jia Wu, Quan Z. Sheng:
Generalized Local Prominence for Source Detection in Real-World Rumor Networks. 4620-4634 - Chengqing Yu, Fei Wang, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Zhulin An, Qi Wang, Yongjun Xu:
GinAR+: A Robust End-to-End Framework for Multivariate Time Series Forecasting With Missing Values. 4635-4648 - Zihua Zhao, Danyang Wu, Rong Wang, Zheng Wang, Feiping Nie, Xuelong Li:
Graph-Based Clustering: High-Order Bipartite Graph for Proximity Learning. 4649-4663 - Gen Shi, Yifan Zhu, Wenjin Liu, Quanming Yao, Xuesong Li:
Heterogeneous Graph-Based Multimodal Brain Network Learning. 4664-4676 - Jiawei Li, Shun Mao, Yixiu Qin, Feng Wang, Yuncheng Jiang:
Hyperbolic Hypergraph Transformer With Knowledge State Disentanglement for Knowledge Tracing. 4677-4690 - Zhu Su, Yafeng Li, Qing Li, Zhonghua Yan, Longfeng Zhao, Zhi Liu, Jianwen Sun, Sannyuya Liu:
Hypergraph Convolutional Networks for Course Recommendation in MOOCs. 4691-4703 - Yuze Tan, Yanjie Gou, Kouying Xue, Shudong Huang, Yi Hu, Ivor W. Tsang, Jiancheng Lv:
Implicit Multi-Behavior Generative Recommendation With Mixture of Quantization. 4704-4715 - Jun Yin, Pei Wang, Shiliang Sun, Zhonglong Zheng:
Incomplete Multi-View Clustering via Multi-Level Contrastive Learning. 4716-4727 - Ming Zhou, Dan Zhang, Yuandong Wang, Yangli-ao Geng, Yuxiao Dong, Jie Tang:
LGB: Language Model and Graph Neural Network-Driven Social Bot Detection. 4728-4742 - Shuohao Gao, Kaiqiang Yu, Shengxin Liu, Cheng Long, Xun Zhou:
On Searching and Querying Maximum Directed $(k,\ell )$(k,ℓ)-Plex. 4743-4757 - Zhuochen Fan, Yalun Cai, Siyuan Dong, Qiuheng Yin, Tianyu Bai, Hanyu Xue, Peiqing Chen, Yuhan Wu, Tong Yang, Bin Cui:
Per-Flow Quantile Estimation Using M4 Framework. 4758-4775 - Ye Liu, Chaoxiong Lin, Yuchen Mou, Huaiguang Jiang, Hongmin Cai:
QSTGNN: Quaternion Spatio-Temporal Graph Neural Networks. 4776-4790 - Xinyi Gao, Hongzhi Yin, Tong Chen, Guanhua Ye, Wentao Zhang, Bin Cui:
RobGC: Towards Robust Graph Condensation. 4791-4804 - Yao Wang, Qianxin Yi, Yiyang Yang, Shanxing Gao, Shaojie Tang, Di Wang:
Robust Tensor Completion With Side Information. 4805-4819 - Shun Wang, Yong Zhang, Xuanqi Lin, Yongli Hu, Qingming Huang, Baocai Yin:
SAGoG: Similarity-Aware Graph of Graphs Neural Networks for Multivariate Time Series Classification. 4820-4832 - Min Yang, Xiaoyu Li, Bin Xu, Xiushan Nie, Muming Zhao, Chengqi Zhang, Yu Zheng, Yongshun Gong:
STDA: Spatio-Temporal Deviation Alignment Learning for Cross-City Fine-Grained Urban Flow Inference. 4833-4845 - Chenxi Liu, Kethmi Hirushini Hettige, Qianxiong Xu, Cheng Long, Shili Xiang, Gao Cong, Ziyue Li, Rui Zhao:
ST-LLM+: Graph Enhanced Spatio-Temporal Large Language Models for Traffic Prediction. 4846-4859 - Qiang Li, Dongchen Li, Weizhi Nie, He Jiao, Zhenhua Wu, Anan Liu:
Temporal and Spatial Analysis in Early Sepsis Prediction via Causal Disentanglements. 4860-4872 - Yuqi Chen, Xin Huang, Bilian Chen:
Top-K Representative Search for Comparative Tree Summarization. 4873-4879 - Yuyang Ding, Dan Qiao, Juntao Li, Jiajie Xu, Pingfu Chao, Xiaofang Zhou, Min Zhang:
Towards DS-NER: Unveiling and Addressing Latent Noise in Distant Annotations. 4880-4893 - Yan Lin, Jilin Hu, Shengnan Guo, Bin Yang, Christian S. Jensen, Youfang Lin, Huaiyu Wan:
UVTM: Universal Vehicle Trajectory Modeling With ST Feature Domain Generation. 4894-4907
Volume 37, Number 9, September 2025
- Rong Wang, Haichuan Zhou, Tun Li, Qian Li, Yunpeng Xiao:
A Hidden Key User Discovery Model for Guided Public Opinion Based on Behavioral Intentions and Implicit Relationships. 4908-4919 - Zheng Lian, Zhijie Zhou, Changhua Hu, Pengyun Ning, Zhichao Ming, Xiaoqin Liu:
A Linguistic Z-Number Rule-Based Modeling Framework Considering Knowledge Reliability Based on Evidential Reasoning Rule. 4920-4934 - Shibing Mo, Xiangyi Teng, Kai Wu, Jing Liu, Kaixin Yuan:
A Universal Subhypergraph-Assisted Embedding Framework for Both Homogeneous and Heterogeneous Networks. 4935-4947 - Zhaoliang Chen, Zhihao Wu, Ylli Sadikaj, Claudia Plant, Hong-Ning Dai, Shiping Wang, Yiu-Ming Cheung, Wenzhong Guo:
ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks. 4948-4961 - Yuyin Lu, Hegang Chen, Yanghui Rao, Jianxing Yu, Wen Hua, Qing Li:
An Efficient Fuzzy System for Complex Query Answering on Knowledge Graphs. 4962-4976 - Zhaolin Ma, Jiali You, Haojiang Deng:
An Enhanced Marked Cuckoo Filter for Multi-Set Multi-Membership Querying in Distributed System. 4977-4989 - Lei Guo, Chunxiao Wang, Xinhua Wang, Lei Zhu, Hongzhi Yin:
Automated Prompting for Non-Overlapping Cross-Domain Sequential Recommendation. 4990-5003 - Jie Wang, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose, Xuri Ge:
Beyond Accuracy: Decision Transformers for Reward-Driven Multi-Objective Recommendations. 5004-5016 - Chuang Zhao, Xing Su, Ming He, Hongke Zhao, Jianping Fan, Xiaomeng Li:
Collaborative Knowledge Fusion: A Novel Method for Multi-Task Recommender Systems via LLMs. 5017-5033 - Wen Yang, Jiajie Xu, Rui Zhou, Lu Chen, Jianxin Li, Pengpeng Zhao, Chengfei Liu:
Contrastive Variational Group Recommendation With Data-Agnostic Augmentation. 5034-5048 - Wenbin Guo, Zhao Li, Xin Wang, Zirui Chen, Jun Zhao, Jianxin Li, Ye Yuan:
ConvD: Attention Enhanced Dynamic Convolutional Embeddings for Knowledge Graph Completion. 5049-5062 - James Jianqiao Yu:
CRATE: Privacy-Preserving Travel Time Estimation. 5063-5077 - Shuzhen Li, Tong Zhang, C. L. Philip Chen:
Cyclic Data Distillation Semi-Supervised Learning for Multi-Modal Emotion Recognition. 5078-5092 - Chao Feng, Ziyi Zhao, Hongxing Wang:
D$^{2}$2AE: Data-Decoupled Active Experts Promote One-Class Anomaly Discovery. 5093-5105 - Hezhe Qiao, Hanghang Tong, Bo An, Irwin King, Charu Aggarwal, Guansong Pang:
Deep Graph Anomaly Detection: A Survey and New Perspectives. 5106-5126 - He Liu, Tao Wang, Congyan Lang, Yidong Li, Haibin Ling:
Deep Probabilistic Graph Matching. 5127-5140 - Yikuan Xia, Jiazun Chen, Xinchi Li, Jun Gao:
DeepNM: Incremental Graph Matching Based on Sinkhorn Similarity. 5141-5157 - Tianyang Shao, Weixin Zeng, Xiang Zhao:
DSHCL: Dual-State Hypergraph Contrastive Learning for Information Diffusion Prediction. 5158-5170 - Tianxiang Shen, Ji Qi, Ning Jia, Haoze Song, Xiapu Luo, Sen Wang, Heming Cui:
ECStore: Achieving Efficient and Compressible Indexing on Outsourced Encrypted Databases. 5171-5187 - Zhong Guan, Likang Wu, Hongke Zhao, Ming He, Jianping Fan:
Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Learning. 5188-5200 - Yaguan Qian, Chenyu Zhao, Zhaoquan Gu, Bin Wang, Shouling Ji, Wei Wang, Yanchun Zhang:
F$^{2}$2AT: Feature-Focusing Adversarial Training via Disentanglement of Natural and Perturbed Patterns. 5201-5213 - De-Ren Toh, Szu-Hao Huang, Chiao-Ting Chen:
FairCDSR: Fairness-Aware Cross-Domain Sequential Recommendation via Multi-Interest Transfer and Contrastive Learning. 5214-5229 - Wei Chen, Meng Yuan, Zhao Zhang, Ruobing Xie, Fuzhen Zhuang, Deqing Wang, Rui Liu:
FairDgcl: Fairness-Aware Recommendation With Dynamic Graph Contrastive Learning. 5230-5242 - Tianlong Gu, Shouhong Tan, Fengrui Hao, Xiaoli Liu, Liang Chang, Yuanfeng Liu:
GCPA: GAN-Based Collusive Poisoning Attack in Federated Recommender Systems. 5243-5256 - Yu-Yang Qian, Yong Bai, Zhen-Yu Zhang, Peng Zhao, Zhi-Hua Zhou:
Handling New Class in Online Label Shift. 5257-5270 - Tuo Wang, Meng Jian, Xinyi Xu, Lifang Wu:
Hierarchical Intent-Based Interest Disentanglement for Personalized Recommendation. 5271-5282 - Qitong Liu, Hao Peng, Xiang Huang, Zhifeng Hao, Qingyun Sun, Zhengtao Yu, Philip S. Yu:
Hierarchical Text Classification Optimization via Structural Entropy and Singular Smoothing. 5283-5297 - Zhouyang Liu, Ning Liu, Yixin Chen, Jiezhong He, Menghan Jia, Dongsheng Li:
Hierarchy-Aware Neural Subgraph Matching With Enhanced Similarity Measure. 5298-5310 - Shezheng Song, Xiaopeng Li, Shasha Li, Shan Zhao, Jie Yu, Jun Ma, Xiaoguang Mao, Weimin Zhang, Meng Wang:
How to Bridge the Gap Between Modalities: Survey on Multimodal Large Language Model. 5311-5329 - Lei Yang, Xin Cheng, Yuwei Liao, Rui Li, Guoqi Xie:
Intra-Trajectory Error Balancing and Inter-Trajectory Feature Point Clustering for Trajectory Compression. 5330-5345 - Liang Li, Yuangang Pan, Junpu Zhang, Pei Zhang, Jie Liu, Xinwang Liu, Kenli Li, Ivor W. Tsang, Keqin Li:
JetBGC: Joint Robust Embedding and Structural Fusion Bipartite Graph Clustering. 5346-5359 - Ziyu Shang, Peng Wang, Jianghan Liu, Jiajun Liu, Guozheng Li, Zijie Xu, Zhizhao Luo, Xiye Chen, Wenjun Ke:
Learning Multi-Granularity and Adaptive Representation for Knowledge Graph Reasoning. 5360-5377 - Baolong Mei, Yafei Li, Yuanyuan Jin, Yun Peng, Mingliang Xu, Jianliang Xu:
Learning to Maintain: Towards Human-Machine Collaborative Spatial Task Assignment. 5378-5392 - Qian Zhou, Jiayang Wu, Mengyue Zhu, Yuhang Zhou, Fu Xiao, Yanchun Zhang:
LLM-QL: A LLM-Enhanced Q-Learning Approach for Scheduling Multiple Parallel Drones. 5393-5406 - Kaibei Li, Yihao Zhang, Xiaokang Li, Meng Yuan, Wei Zhou:
Mask Diffusion-Based Contrastive Learning for Knowledge-Aware Recommendation. 5407-5419 - N. T. Tung, Trinh D. D. Nguyen, Loan T. T. Nguyen, Duc-Lung Vu, Philippe Fournier-Viger, Bay Vo:
Mining Cross-Level High Utility Itemsets in Unstable and Negative Profit Databases. 5420-5435 - Xin Jing, Yichen Jing, Yuhuan Lu, Bangchao Deng, Sikun Yang, Dingqi Yang:
On Your Mark, Get Set, Predict! Modeling Continuous-Time Dynamics of Cascades for Information Popularity Prediction. 5436-5451 - Feng Jiang, Bo Wu, Shiping Wen, Tianhai Tian:
MSDIPN: Multi-Scale Deep Interval Prediction Network for Multivariate Time Series. 5452-5466 - Yingyao Ma, Yifan Xue, Jiasong Wu, Lotfi Senhadji, Huazhong Shu, Jian Yang:
Multimodal Entity Linking With Dynamic Modality Selection and Interactive Prompt Learning. 5467-5480 - Zhenyu Wu, Yanting Li, Nan Chen, Zhijun Wang, Chaoxu Mu:
Multiple Change Point Detection Method of Profile Data With False Discovery Rate Control. 5481-5494 - Zhiqin Zhang, Jingfeng Yang, Zhiguang Cao, Hoong Chuin Lau:
Neuro-Ins: A Learning-Based One-Shot Node Insertion for Dynamic Routing Problems. 5495-5507 - Yang Liu, Binglin Chen, Yongsen Zheng, Lechao Cheng, Guanbin Li, Liang Lin:
ODMixer: Fine-Grained Spatial-Temporal MLP for Metro Origin-Destination Prediction. 5508-5522 - Wenjun Yu, Hong Tao, Chenping Hou:
One-Step Pairwise Constrained Multi-View Clustering in Linear Time. 5523-5537 - Hui Tu, Shifei Ding, Xiao Xu, Lili Guo, Ling Ding, Xindong Wu:
Parameter-Adaptive Border Peeling Clustering Algorithm. 5538-5550 - Jie Li, Zeyi Liu, Linmei Hu, Yunbo Rao, Bo Liu, Bo Fang, Liqiang Nie:
Personalized News Recommendation Towards the Era of LLMs: Review and Prospect. 5551-5567 - Longlong Lin, Zeli Wang, Rong-Hua Li, Qiyu Liu, Hongchao Qin, Jin Zhao:
Provable Higher-Order Graph Clustering: The Power of Peeling-Based Approaches. 5568-5583 - Junjun Huang, Xiliang Lu, Xuelin Xie, Jerry Zhijian Yang:
Robust Fuzzy Local K-Plane Clustering With Mixture Distance of Hinge Loss and $L_{1}$L1 Norm. 5584-5597 - Renxiang Guan, Tianrui Liu, Wenxuan Tu, Chang Tang, Wenhan Luo, Xinwang Liu:
Sampling Enhanced Contrastive Multi-View Remote Sensing Data Clustering With Long-Short Range Information Mining. 5598-5612 - Qianzhi Ye, Jia Zhang, Hanrui Wu, Tianlong Gu, C. L. Philip Chen, Jinyi Long:
SMLE: Semi-Supervised Multi-Label Learning with Label Enhancement. 5613-5626 - Karol Capala, Paulina Tworek, José L. R. Sousa:
Stability of Machine Learning Predictive Features Under Limited Data. 5627-5638 - Xudong Liu, Zhaonian Zou, Run-An Wang, Dandan Liu:
Structural Clustering of Multi-Layer Graphs. 5639-5653 - Huanyu Zhang, Chang Xu, Yifan Zhang, Zhang Zhang, Liang Wang, Jiang Bian:
TimeRAF: Retrieval-Augmented Foundation Model for Zero-Shot Time Series Forecasting. 5654-5665 - Ziyuan Gu, Qi Hong, Zhen Zhou, Xin Geng, Zhiyuan Liu, Mo Jia:
Topological Information Utilization in Label Enhancement and Label Distribution Learning Based on Optimal Transport Theory. 5666-5678 - Lei Cheng, Xiaowen Huang, Jitao Sang, Jian Yu:
Towards Robust Recommendation: A Review and an Adversarial Robustness Evaluation Library. 5679-5698 - Shuhao Li, Yue Cui, Jingyi Xu, Libin Li, Lingkai Meng, Weidong Yang, Fan Zhang, Xiaofang Zhou:
Unifying Lane-Level Traffic Prediction From a Graph Structural Perspective: Benchmark and Baseline. 5699-5718
Volume 37, Number 10, October 2025
- Yaoyu Zhu, Jintao Zhang, Guoliang Li, Jianhua Feng:
A Lightweight Learned Cardinality Estimation Model. 5719-5734 - Xinyu Liu, Shuyu Shen, Boyan Li, Peixian Ma, Runzhi Jiang, Yuxin Zhang, Ju Fan, Guoliang Li, Nan Tang, Yuyu Luo:
A Survey of Text-to-SQL in the Era of LLMs: Where Are We, and Where Are We Going? 5735-5754 - Rui Zhang, Yuelong Cheng, Xiang Shi, Xuelong Li:
Adaptive Magnetic-Graph Clustering. 5755-5766 - Jiawei Duan, Qingqing Ye, Haibo Hu, Xinyue Sun:
Analyzing and Enhancing LDP Perturbation Mechanisms in Federated Learning. 5767-5780 - Xiao Wang, Yibo Li, Yujie Xing, Shaohua Fan, Chuan Shi:
AuCoGNN: Enhancing Graph Fairness Learning Under Distribution Shifts With Automated Graph Generation. 5781-5794 - Peng Tang, Xin Luo, Jim Woodcock:
Auto-Encoding Neural Tucker Factorization. 5795-5807 - Xiaoguang Wang, Chenxu Wang, Mengqin Wang, Jun Liu, Xiaohong Guan:
B2BGAN: A Backbone-to-Branches GAN-Based Oversampling Approach for Class-Imbalanced Tabular Data. 5808-5822 - Tao Yu, Zhaonian Zou, Hao Xiong:
Can Uncertainty Quantification Improve Learned Index Benefit Estimation? 5823-5837 - Jiaxing Shang, Xueqi Jia, Xiaoquan Li, Fei Hao, Ruiyuan Li, Geyong Min:
DVCAE: Semi-Supervised Dual Variational Cascade Autoencoders for Information Popularity Prediction. 5838-5851 - Songwei Zhao, Bo Yu, Sinuo Zhang, Zhejian Yang, Jifeng Hu, Philip S. Yu, Hechang Chen:
EGNN: Exploring Structure-Level Neighborhoods in Graphs With Varying Homophily Ratios. 5852-5865 - Zhiyu Hu, Yang Zhang, Minghao Xiao, Wenjie Wang, Fuli Feng, Xiangnan He:
Exact and Efficient Unlearning for Large Language Model-Based Recommendation. 5866-5877 - Shifei Ding, Chao Li, Xiao Xu, Lili Guo, Ling Ding, Xindong Wu:
Fast Density Peaks Clustering Algorithm Based on Approximate k-Nearest Neighbors. 5878-5889 - Run-An Wang, Zhaonian Zou, Dandan Liu, Xudong Liu:
FocusCores of Multilayer Graphs. 5890-5904 - Yu Xie, Junkai Shan, Lifei Wei, Jiamin Yao, MengChu Zhou:
GAN-Based Hybrid Sampling Method for Transaction Fraud Detection. 5905-5918 - Xinyue Sun, Qingqing Ye, Haibo Hu, Jiawei Duan, Hui He, Weizhe Zhang:
GeoRecover: Recovery From Poisoning Attacks for LDP-Enabled Spatial Density Aggregation. 5919-5933 - Sanfeng Zhang, Xinyi Liu, Zihao Qi, Xingchen Yan, Wang Yang:
GI-Graph: A Generative Invariant Graph Learning Scheme Towards Out-of-Distribution Generalization. 5934-5947 - Lakpa Dorje Tamang, Mohamed Reda Bouadjenek, Richard Dazeley, Sunil Aryal:
Handling Out-of-Distribution Data: A Survey. 5948-5966 - Jing Zhang, Qun Dai, Rui Ye:
iBACon: imBalance-Aware Contrastive Learning for Time Series Forecasting. 5967-5982 - Xu Zhao, Weibing Wan, Zhijun Fang:
IGES-RCI: Improved Greedy Equivalence Search and Recursive Causal Inference for Industrial Equipment Failure Prediction. 5983-5993 - Jianhua Dai, Wenxiang Chen, Yuhua Qian, Witold Pedrycz:
Instance-Dependent Incomplete Multi-Label Feature Selection by Fuzzy Tolerance Relation and Fuzzy Mutual Implication Granularity. 5994-6008 - Pei-Yuan Lai, Man-Sheng Chen, Qing-Yun Dai, Chang-Dong Wang, Min Chen, Mohsen Guizani:
Knowledge Graph-Based Patent Clustering. 6009-6019 - Mingshi Yan, Zhiyong Cheng, Yahong Han, Meng Wang:
Latent Factor Modeling With Expert Network for Multi-Behavior Recommendation. 6020-6031 - Qi Liu, Suyuan Liu, Xinwang Liu, Jianhua Dai:
Latent Semantics and Anchor Graph Multi-Layer Learning for Multi-View Unsupervised Feature Selection. 6032-6045 - Hanxuan Yang, Qingchao Kong, Wenji Mao:
Multi-Level Task-Agnostic Graph Representation Learning With Isomorphic-Consistent Variational Graph Auto-Encoders. 6061-6074 - Peng Zhang, Hongpeng Yin, Xuanhong Deng, Sheng-Qing Lv:
One-Pass Online Learning Under Feature Evolution Data Streams With a Fast Rate. 6075-6090 - Heng Lian, Yi He, Di Wu, Zhong Chen, Xingquan Zhu, Xindong Wu:
Online Outlier Detection in Open Feature Spaces. 6091-6106 - Amin Vahedian:
Precise Bayes Regression: Approaching Optimality, Using Multi-Dimensional Space Partitioning Trees. 6107-6119 - Panagiotis Bouros, George Christodoulou, Christian Rauch, Artur Titkov, Nikos Mamoulis:
Querying Interval Data on Steroids. 6120-6134 - Mayank Kharbanda, Rajiv Ratn Shah, Raghava Mutharaju:
RConE: Rough Cone Embedding for Multi-Hop Logical Query Answering on Multi-Modal Knowledge Graphs. 6135-6146 - Zehang Lin, Zhenguo Yang, Qing Li:
Robust Cross-Platform News Event Detection via Self-Supervised Modality Complementation. 6147-6158 - Yue-Na Lin, Gengyu Lyu, Hai-Chun Cai, Deng-Bao Wang, Haobo Wang, Zhen Yang:
Simplified Graph Contrastive Learning Model Without Augmentation. 6159-6172 - Tianchuan Yang, Haiqiang Chen, Haoyan Yang, Man-Sheng Chen, Xiangcheng Li, Youming Sun, Chang-Dong Wang:
Smoothness-Induced Efficient Incomplete Multi-View Clustering. 6173-6188 - Yunhui Liu, Xinyi Gao, Tieke He, Jianhua Zhao, Hongzhi Yin:
Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inference. 6189-6201 - Xiaoshu Chen, Sihang Zhou, Ke Liang, Jiafei Wu, Xinwang Liu, Dongsheng Li, Kai Lu:
Thinking on Context: Inductive Relation Prediction Guided by the Reasoning Ability of Large Language Models. 6202-6215 - Haohao Qu, Wenqi Fan, Zihuai Zhao, Qing Li:
TokenRec: Learning to Tokenize ID for LLM-Based Generative Recommendations. 6216-6231 - Salvatore Greco, Bartolomeo Vacchetti, Daniele Apiletti, Tania Cerquitelli:
Unsupervised Concept Drift Detection From Deep Learning Representations in Real-Time. 6232-6245 - Bin Ji, Huijun Liu, Shasha Li, Jun Ma, Jie Yu:
Win-Win Cooperation: Bundling Sequence and Span Models for Named Entity Recognition. 6246-6258 - Yu Ding, Katsuya Hotta, Chunzhi Gu, Ao Li, Jun Yu, Chao Zhang:
Learning to Discriminate While Contrasting: Combating False Negative Pairs With Coupled Contrastive Learning for Incomplete Multi-View Clustering. 6046-6060
Volume 37, Number 11, November 2025
- Haochen Shi, Shengdong Du, Yan Yang, Junbo Zhang, Tianrui Li, Yu Zheng:
A Knowledge-Guided Pre-Training Temporal Data Analysis Foundation Model for Urban Computing. 6259-6271 - Ziliang Wang, Xiaohong Zhang, Ze Shi Li, Meng Yan:
A Region-Aware Dual Latent State Mining Framework for Service Recommendation in Large-Scale Service Networks. 6272-6285 - Siyu Li, Zhiwei Zhang, Kai Zhong, Kangfei Zhao, Meihui Zhang, Ye Yuan, Guoren Wang:
Authenticated Subgraph Matching on Large-Scale Graphs in Hybrid-Storage Blockchains. 6286-6303 - Hongwei Ding, Nana Huang, Qi Tao, Jiaqi Liang, Xiaohui Cui:
Balancing Act: MDGAN for Imbalanced Tabular Data Synthesis. 6304-6319 - Jialun Zheng, Divya Saxena, Jiannong Cao:
COIN-GNN: Inductive Spatial-Temporal Prediction for Continuous Distribution Shifts via Graph Neural Networks. 6320-6333 - Michael Khavkin, Eran Toch:
Differential Privacy Configurations in the Real World: A Comparative Analysis. 6334-6351 - Jiajun Li, Shuxiang Gou, Ruiyuan Li, Huajun He, Wenhui Li, Yu Zheng:
DiST: Efficient Distributed Spatio-Temporal Clustering With Automatic Parameter Optimization. 6352-6366 - Wei Ye, Wengang Guo, Shuhao Tang, Hao Tian, Xin Sun, Xiaofeng Cao, Heng Tao Shen:
Distributional Shortest-Path Graph Kernels. 6367-6378 - Rongen Yan, Depeng Dang, Keqin Peng, Yakun Li, Ye Tao, Lei Hou, Juanzi Li, Jie Tang:
Document-Level Relation Extraction With Low Entity Redundancy Feature Map. 6379-6391 - Lingling Zhang, Tiancheng Lu, Zhi-Ping Shi, Zhiwei Zhang, Ye Yuan, Guoren Wang:
Efficient Algorithms for Influence Maximization in Hypergraphs by Stratified Sampling. 6392-6405 - Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Wei Wang, Xiping Hu, Raymond Chi-Wing Wong, Edith C. H. Ngai:
Enhancing Robustness and Generalization Capability for Multimodal Recommender Systems via Sharpness-Aware Minimization. 6406-6419 - Feng Wang, Yuhang Cao, Li Liu, Qi Kang, Jun Chen:
Federated Graph Neural Networks With Equivalent Hypergraph Construction for Traffic Flow Prediction. 6420-6435 - Peng Zhu, Yuante Li, Qinyuan Liu, Dawei Cheng, Changjun Jiang:
Financial Time Series Prediction With Multi-Granularity Graph Augmented Learning. 6436-6449 - Shiqi Ren, Jinliang Ding, Cuie Yang, Yiu-ming Cheung:
GOIO: Generative Oversampling Approach to Class Imbalance and Overlap of Tabular Data. 6450-6463 - Qi Hao, Runchang Liang, Yue Gao, Hao Dong, Wei Fan, Lu Jiang, Pengyang Wang:
Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset. 6464-6477 - Uttam K. Roy, Pranab K. Muhuri:
Label Propagation-Based Membership Degree Computation Towards a Computationally Efficient Fuzzy Community Detection Approach. 6478-6493 - Dianer Yu, Qian Li, Sirui Huang, Jie Cao, Guandong Xu:
Large Language Models Meet Causal Inference: Semantic-Rich Dual Propensity Score for Sequential Recommendation. 6494-6505 - Weihang Pan, Minghao Chen, Binbin Lin, Yafei Wang, Xinkui Zhao, Xiaofei He, Jieping Ye:
Large-Scale Storage Location Assignment via Hierarchical Reinforcement Learning: A Rank and Assign Approach. 6506-6520 - Chuan Tang, Miaomiao Li, Jun Wang, Chang Tang, Jiahe Jiang, Tianyi Wang, En Zhu, Xinwang Liu:
Multi-View Clustering via High-Order Bipartite Graph Learning and Tensor Low-Rank Representation. 6521-6534 - Xin Xie, Xianyong Zhang, Xiaoling Yang, Jilin Yang:
Noise-Tolerant Feature Selections Based on Two-Type Weight-Fuzzy Granulations and Three-View Uncertainty Measures. 6535-6549 - Henning Koehler, Sebastian Link:
Orthogonal Keys High Precision and Recall for Mining Database Keys From Inconsistent and Incomplete Relations. 6550-6561 - Chunxu Zhang, Guodong Long, Zijian Zhang, Zhiwei Li, Honglei Zhang, Qiang Yang, Bo Yang:
Personalized Recommendation Models in Federated Settings: A Survey. 6562-6581 - Shuo Shang, Xin Cheng, Yiren Xiong, Feng Guo, Shen Gao, Xiuying Chen, Feng Wang, Yongbo Wang, Dongyan Zhao, Rui Yan:
Personalized Review Summarization by Using Graph-Based Retrieval Augmemted Generation. 6582-6596 - Yicun Tian, Youyang Qu, Ming Ding, Shigang Liu, Pei-Wei Tsai, Jun Zhang:
PRIME: A Phishing Detection Framework With Quantitative and Fuzzy-Based Dual Validation. 6597-6609 - Mingming Han, Husheng Guo, Gaoxia Jiang, Wenjian Wang:
Rethinking Oversampling With Class Alliance Constraints From Data Complexity Perspective. 6610-6623 - Chengyuan Liu, Shihang Wang, Yangyang Kang, Fubang Zhao, Kun Kuang, Weiming Lu, Changlong Sun, Fei Wu:
RexUniNLU: Recursive Method With Explicit Schema Instructor for Universal Natural Language Understanding. 6624-6635 - Zhuochen Fan, Ruixin Wang, Zihan Jiang, Ruwen Zhang, Tong Yang, Sha Wang, Yuhan Wu, Ruijie Miao, Kaicheng Yang, Bui Cui:
SandwichSketch: A More Accurate Sketch for Frequent Object Mining in Data Streams. 6636-6650 - Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang:
SAQE: Complex Logical Query Answering via Semantic-Aware Representation Learning. 6651-6665 - Chengyi Liu, Jiahao Zhang, Shijie Wang, Wenqi Fan, Qing Li:
Score-Based Generative Diffusion Models for Social Recommendations. 6666-6679 - Pei-Pei Li, Shiying Yu, Jiajun Li, Xuegang Hu:
Semi-Supervised Short Text Stream Classification Based on Drift-Aware Incremental Deep Learning. 6680-6693 - Xu Zhang, Yuheng Jia, Mofei Song, Ran Wang:
Similarity and Dissimilarity Guided Co-Association Matrix Construction for Ensemble Clustering. 6694-6707 - Jiazheng Tian, Kun Xie, Xin Wang, Jigang Wen, Gaogang Xie, Wei Liang, Da-Fang Zhang, Kenli Li:
TensorMon: A Breakthrough in Sparse Data Gathering Leveraging Tensor-Enhanced Techniques for System and Network Monitoring. 6708-6722 - Jingyi Xie, Jiawei Liu, Zhengjun Zha:
Toward Effective and Transferable Detection for Multi-Modal Fake News in the Social Media Stream. 6723-6737
Volume 37, Number 12, December 2025
- Xinyi Fan, Weizhong Yu, Feiping Nie, Zongcheng Miao, Xuelong Li:
A Convex Formulation for Fast Semi-Supervised Learning. 6738-6749 - Zhiqiang Zhang, Weiqing Wang, Xin Zhou, Yu Bai, Hongzhi Yin:
A Data-Driven Scale-Adaptive Time-Frequency Convolutional Network for Long Sequence Time-Series Forecasting. 6750-6764 - Yibowen Zhao, Yonghui Xu, Di Wang, Yixin Zhang, Qingzhong Li, Lizhen Cui:
A Multi-Objective Explanation Framework for Graph Neural Networks. 6765-6781 - Hua Shi, Dan He, Fengmei Jin, Wen Hua, Jiwon Kim, Qilin Wang, Xiaofang Zhou:
A Survey and Experimental Study on Neural Trajectory-User Linking Models. 6782-6798 - Wenbo Shang, Xin Huang:
A Survey of Large Language Models on Generative Graph Analytics: Query, Learning, and Applications. 6799-6819 - Xiao Ding, Xingyi Zhang, Haifeng Zhang:
A Universal Physics-Informed Neural Network Framework for Predicting Network Dynamics: From Lower-Order to Higher-Order. 6820-6832 - Kazuo Aoyama, Kazumi Saito:
Accelerating Spherical K-Means Clustering for Large-Scale Sparse Document Data. 6833-6846 - Wentao Li, Bowen Yang, Witold Pedrycz, Chao Zhang, Tao Zhan:
Adaptive Hyper-Box Granulation With Justifiable Granularity for Feature Selection. 6847-6862 - Kun Wang, Jie Lu, Anjin Liu:
Adaptive Information Fusion-Based Concept Drift Learning for Evolving Multiple Data Streams. 6863-6876 - Junyi Yan, Enguang Zuo, Ke Liang, Meng Liu, Miaomiao Li, Xinwang Liu, Xiaoyi Lv, Kai Lu:
Address Anomalies at Critical Crossroads for Graph Anomaly Detection. 6877-6890 - Fan Hu, Gaofeng Lu, Jun Chen, Chaonan Guo, Yuekui Yang, Xirong Li:
AEFS: Adaptive Early Feature Selection for Deep Recommender Systems. 6891-6901 - Jiahui Jin, Yi Hong, Guandong Xu, Jinghui Zhang, Jun Tang, Hancheng Wang:
An Event-Centric Framework for Predicting Crime Hotspots With Flexible Time Intervals. 6902-6915 - Ce Zheng, Zhouran Shi, Ruijie Miao, Wenpu Liu, Tong Yang, Bin Cui, Steve Uhlig:
Answering Subset Query Over Multi-Attribute Data Streams Using Hyper-USS. 6916-6933 - Ryoya Yamasaki:
Approximately Unimodal Likelihood Models for Ordinal Regression. 6934-6944 - Xujian Zhao, Chuanpeng Deng, Peiquan Jin:
ASSM: Adaptive Subject-Focused Modeling for Multimodal Summarization via Semantic Matching. 6945-6958 - Zhichao Yan, Jiapu Wang, Jiaoyan Chen, Xiaoli Li, Jiye Liang, Ru Li, Jeff Z. Pan:
Atomic Fact Decomposition Helps Attributed Question Answering. 6959-6972 - Yakun Wang, Yisheng Zou, Songlin He, Linfu Sun, Gang Wang:
Attentive Continuous-Time Generative Adversarial Networks for Irregular Time Series Imputation. 6973-6986 - Hao Chen, Zhiqing Li, Yuanchen Bei, Kai Xu, Yijie Zhang, Feiran Huang, Yu Yang, Huan Gong, Fakhri Karray:
Behavior Merging Graph Convolution Network for Multi-Behavior Recommendation. 6987-7000 - Kun Zhu, Chunhui Zhao, Biao Huang:
Breaking Information Granularity Heterogeneity: A Mutual Information-Inspired Causal Discovery Framework for Multi-Rate Time Series. 7001-7015 - Yantong Du, Rui Chen, Qiaoyu Tan, Qilong Han, Shenjie Wang, Xiangyu Zhao:
Cross-Task Collaborative Meta-Learning for Cold-Start Recommendations. 7016-7029 - Teng Li, Zejian Lin, Yebo Feng, Chong Wang, Zhuo Ma, Bin Xiao, Jianfeng Ma, Yang Liu:
CryptIF: Toward Cloud-Based IoT Anomaly Detection Over Encrypted Feature Streams. 7030-7044 - Jiande Huang, Yuhui Deng, Yi Zhou, Shujie Pang, Qifen Yang, Geyong Min:
DBCGM: A Granular Model for Big Data Classification Based on Data Bisection and Cascade Weighted Clustering. 7045-7059 - Bay-Yuan Hsu, Chen-Hsu Yang, Chia-Hsun Lu, Ming-Yi Chang, Lo-Yao Yeh, Chih-Ya Shen:
Diversifying Graph Augmentation for Learning to Solve Graph Optimization Problems. 7060-7075 - Junchen Fu, Xuri Ge, Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Kaiwen Zheng, Yongxin Ni, Joemon M. Jose:
Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation. 7076-7089 - Wenjie Huang, Tongya Zheng, Rui Wang, Tongtian Zhu, Bingde Hu, Shuibing He, Mingli Song, Xinyu Wang, Sai Wu, Chun Chen:
Efficient Distributed Graph Neural Network Training With Source Chunking and Moving Aggregation. 7090-7104 - Yanping Wu, Renjie Sun, Xiaoyang Wang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin:
Efficient $k$k-Plex Mining in Temporal Graphs. 7105-7119 - Preeja Pradeep, Marta Caro-Martínez, Anjana Wijekoon:
Empowering Explainable Artificial Intelligence Through Case-Based Reasoning: A Comprehensive Exploration. 7120-7139 - Sungwon Park, Sungwon Han, Meeyoung Cha:
Enhancing Domain Generalization for Robust Machine-Generated Text Detection. 7140-7153 - Yurong Cheng, Xiaoxi Cui, Ye Yuan, Xiangmin Zhou, Guoren Wang:
Enhancing Global Path Planning via Simple Queries Across Multiple Platforms. 7154-7168 - Zhigang Wang, Yizhen Yu, Mingxin Li, Jian Lou, Ning Wang, Yu Gu, Shen Su, Yuan Liu, Hui Jiang, Zhihong Tian:
FELEMN: Toward Efficient Feature-Level Machine Unlearning for Exact Privacy Protection. 7169-7183 - Ziqiang Yu, Xiaohui Yu, Yueting Chen, Wei Liu, Anbang Song, Bolong Zheng:
Flexible Keyword-Aware Top-$k$k Route Search. 7184-7198 - Lei Zhang, Zihao Chen, Wuji Zhang, Hongke Zhao, Likang Wu:
GDiffMAE: Guided Diffusion Enhanced Mask Graph AutoEncoder for Recommendation. 7199-7212 - Zhouyang Liu, Yixin Chen, Ning Liu, Jiezhong He, Dongsheng Li:
Graph2Region: Efficient Graph Similarity Learning With Structure and Scale Restoration. 7213-7225 - Yu Feng, Weixuan Liang, Xinhang Wan, Jiyuan Liu, Miaomiao Li, Xinwang Liu:
Incremental Multi-View Clustering: Exploring Stream-View Correlations to Learn Consistency and Diversity. 7226-7239 - Yu Yan, Junfang Huang, Hongzhi Wang, Jian Geng, Kaixin Zhang, Tao Yu:
KnobCF: Uncertainty-Aware Knob Tuning. 7240-7254 - Yishu Liu, Huanjia Zhu, Bingzhi Chen, Xiaozhao Fang, Guangming Lu, Shengli Xie:
LBF-VQA: Towards Language Bias-Free Visual Question Answering With Multi-Space Collaborative Debiasing. 7255-7271 - Hao Wu, Qu Wang, Xin Luo, Zidong Wang:
Learning Accurate Representation to Nonstandard Tensors via a Mode-Aware Tucker Network. 7272-7285 - Yuting Liu, Qiang Zhou, Hanzhe Li, Fuzhen Zhuang, Jingjing Gu:
Long-Term Urban Flow Prediction Against Data Distribution Shift: A Causal Perspective. 7286-7299 - Qi Xiong, Kai Tang, Minbo Ma, Ji Zhang, Jie Xu, Tianrui Li:
Modeling Temporal Dependencies Within the Target for Long-Term Time Series Forecasting. 7300-7314 - Yuan Fang, Geping Yang, Ruichu Cai, Yiyang Yang, Zhiguo Gong, Can Chen, Zhifeng Hao:
MSC-DOLES: Multi-View Subspace Clustering in Diverse Orthogonal Latent Embedding Spaces. 7315-7327 - Zijin Hong, Zheng Yuan, Qinggang Zhang, Hao Chen, Junnan Dong, Feiran Huang, Xiao Huang:
Next-Generation Database Interfaces: A Survey of LLM-Based Text-to-SQL. 7328-7345 - Youwen Zhu, Shibo Dai, Pengfei Zhang, Xiqi Kuang:
Numerical Data Collection Under Input-Discriminative Local Differential Privacy. 7346-7361 - Hao Huang, Mingxin Wang, Mengqi Shan, Zhigao Zheng, Ting Gan, Jiawei Jiang, Zongpeng Li:
Online Billboard Auction With Social Welfare Maximization. 7362-7373 - Run-An Wang, Zhaonian Zou, Dandan Liu, Xudong Liu:
PiTruss Community Search for Multilayer Graphs. 7374-7387 - Wenbo Wang, Ben Chen, Bingquan Liu, Lili Shan, Chengjie Sun, Qian Chen, Feiyang Xiao, Jian Guan:
Preference Aware Item Cold-Start Recommendation With Hierarchical Item Alignment. 7388-7401 - Zekun Li, Jinyong Chang, Bei Liang, Kaijing Ling, Yifan Dong, Yanyan Ji, Maozhi Xu:
Private-Set-Intersection-Based Medical Data Sharing Scheme With Integrity Auditing for IoMT Cloud Storage Systems. 7402-7413 - Shu-Xun Yang, Xian-Ling Mao, Yu-Ming Shang, Heyan Huang:
Toward Balanced Denoising: Building a Structural and Textual Denoiser for Table Understanding. 7414-7425 - Zidong Wang, Xiaoguang Gao, Qingfu Zhang:
Uncertain Priors for Graphical Causal Models: A Multi-Objective Optimization Perspective. 7426-7439 - Yaming Yang, Zhe Wang, Ziyu Guan, Wei Zhao, Xinyan Huang, Xiaofei He:
Unsupervised Entity Alignment Based on Personalized Discriminative Rooted Tree. 7440-7452
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