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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 Martínez 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
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