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2020 – today
- 2023
[j15]Chenming Yang, Hui Wen, Bryan Hooi, Yue Wu, Liang Zhou:
A multi-scale reconstruction method for the anomaly detection in stochastic dynamic networks. Neurocomputing 518: 482-495 (2023)- [j14]Chenming Yang
, Jingjing Li, Ke Lu, Bryan Hooi, Liang Zhou:
Continuous-time graph directed information maximization for temporal network representation. Inf. Sci. 644: 119240 (2023) - [j13]Shubhranshu Shekhar, Dhivya Eswaran, Bryan Hooi, Jonathan Elmer, Christos Faloutsos, Leman Akoglu:
Benefit-aware early prediction of health outcomes on multivariate EEG time series. J. Biomed. Informatics 139: 104296 (2023) - [j12]Yifan Zhang, Bingyi Kang, Bryan Hooi, Shuicheng Yan, Jiashi Feng:
Deep Long-Tailed Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10795-10816 (2023) - [j11]Shenghua Liu, Bin Zhou, Quan Ding, Bryan Hooi, Zhengbo Zhang, Huawei Shen, Xueqi Cheng:
Time Series Anomaly Detection With Adversarial Reconstruction Networks. IEEE Trans. Knowl. Data Eng. 35(4): 4293-4306 (2023) - [c90]Shumin Deng, Shengyu Mao, Ningyu Zhang, Bryan Hooi:
SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres. ACL (1) 2023: 351-363 - [c89]Jianqing Xu, Shen Li, Ailin Deng, Miao Xiong, Jiaying Wu, Jiaxiang Wu, Shouhong Ding, Bryan Hooi:
Probabilistic Knowledge Distillation of Face Ensembles. CVPR 2023: 3489-3498 - [c88]Shumin Deng, Chengming Wang, Zhoubo Li, Ningyu Zhang, Zelin Dai, Hehong Chen, Feiyu Xiong, Ming Yan, Qiang Chen, Mosha Chen, Jiaoyan Chen, Jeff Z. Pan, Bryan Hooi, Huajun Chen:
Construction and Applications of Billion-Scale Pre-Trained Multimodal Business Knowledge Graph. ICDE 2023: 2988-3002 - [c87]Ailin Deng, Miao Xiong, Bryan Hooi:
Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement. ICML 2023: 7675-7693 - [c86]Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson:
A Generalization of ViT/MLP-Mixer to Graphs. ICML 2023: 12724-12745 - [c85]Yuwen Li, Miao Xiong, Bryan Hooi:
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks. ICML 2023: 20195-20209 - [c84]Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang:
Reachability-Aware Laplacian Representation in Reinforcement Learning. ICML 2023: 36670-36693 - [c83]Mingqi Yang, Wenjie Feng, Yanming Shen, Bryan Hooi:
Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering. ICML 2023: 39234-39251 - [c82]Siddharth Bhatia, Mohit Wadhwa, Kenji Kawaguchi, Neil Shah, Philip S. Yu, Bryan Hooi:
Sketch-Based Anomaly Detection in Streaming Graphs. KDD 2023: 93-104 - [c81]Jiaying Wu, Bryan Hooi:
DECOR: Degree-Corrected Social Graph Refinement for Fake News Detection. KDD 2023: 2582-2593 - [c80]Yiwei Wang, Bryan Hooi, Yozen Liu, Neil Shah:
Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate Inference. WSDM 2023: 348-356 - [i79]Xu Liu, Yuxuan Liang, Chao Huang, Hengchang Hu, Yushi Cao, Bryan Hooi, Roger Zimmermann:
Do We Really Need Graph Neural Networks for Traffic Forecasting? CoRR abs/2301.12603 (2023) - [i78]Ailin Deng, Shen Li, Miao Xiong, Zhirui Chen, Bryan Hooi:
Trust, but Verify: Using Self-Supervised Probing to Improve Trustworthiness. CoRR abs/2302.02628 (2023) - [i77]Aashish Kolluri, Sarthak Choudhary, Bryan Hooi, Prateek Saxena:
RETEXO: Scalable Neural Network Training over Distributed Graphs. CoRR abs/2302.13053 (2023) - [i76]Baixiang Huang, Bryan Hooi, Kai Shu:
TAP: A Comprehensive Data Repository for Traffic Accident Prediction in Road Networks. CoRR abs/2304.08640 (2023) - [i75]Ailin Deng, Miao Xiong, Bryan Hooi:
Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement. CoRR abs/2305.01481 (2023) - [i74]Mingqi Yang, Wenjie Feng, Yanming Shen, Bryan Hooi:
Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering. CoRR abs/2305.06102 (2023) - [i73]Yiwei Wang, Bryan Hooi, Fei Wang, Yujun Cai, Yuxuan Liang, Wenxuan Zhou, Jing Tang, Manjuan Duan, Muhao Chen:
How Fragile is Relation Extraction under Entity Replacements? CoRR abs/2305.13551 (2023) - [i72]Shumin Deng, Shengyu Mao, Ningyu Zhang, Bryan Hooi:
SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres. CoRR abs/2305.13617 (2023) - [i71]Xiaoxin He, Xavier Bresson, Thomas Laurent, Bryan Hooi:
Explanations as Features: LLM-Based Features for Text-Attributed Graphs. CoRR abs/2305.19523 (2023) - [i70]Yuwen Li, Miao Xiong, Bryan Hooi:
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks. CoRR abs/2306.00015 (2023) - [i69]Miao Xiong, Ailin Deng, Pang Wei Koh, Jiaying Wu, Shen Li, Jianqing Xu, Bryan Hooi:
Proximity-Informed Calibration for Deep Neural Networks. CoRR abs/2306.04590 (2023) - [i68]Xu Liu, Yutong Xia, Yuxuan Liang, Junfeng Hu, Yiwei Wang, Lei Bai, Chao Huang, Zhenguang Liu, Bryan Hooi, Roger Zimmermann:
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting. CoRR abs/2306.08259 (2023) - [i67]Zhiyuan Hu, Chumin Liu, Yue Feng, Bryan Hooi:
PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation. CoRR abs/2306.08456 (2023) - [i66]Zhiyuan Hu, Yue Feng, Anh Tuan Luu, Bryan Hooi, Aldo Lipani:
Unlocking the Potential of User Feedback: Leveraging Large Language Model as User Simulator to Enhance Dialogue System. CoRR abs/2306.09821 (2023) - [i65]Miao Xiong, Zhiyuan Hu, Xinyang Lu, Yifei Li, Jie Fu, Junxian He, Bryan Hooi:
Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs. CoRR abs/2306.13063 (2023) - [i64]Jiaying Wu, Bryan Hooi:
DECOR: Degree-Corrected Social Graph Refinement for Fake News Detection. CoRR abs/2307.00077 (2023) - [i63]Yuexin Li, Bryan Hooi:
Prompt-Based Zero- and Few-Shot Node Classification: A Multimodal Approach. CoRR abs/2307.11572 (2023) - [i62]Zemin Liu, Yuan Li, Nan Chen, Qian Wang, Bryan Hooi, Bingsheng He:
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions. CoRR abs/2308.13821 (2023) - [i61]Zhiyuan Hu, Yue Feng, Yang Deng, Zekun Li, See-Kiong Ng, Anh Tuan Luu, Bryan Hooi:
Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals. CoRR abs/2309.08949 (2023) - 2022
- [j10]Minji Yoon, Théophile Gervet, Bryan Hooi, Christos Faloutsos:
Autonomous graph mining algorithm search with best performance trade-off. Knowl. Inf. Syst. 64(6): 1571-1602 (2022) - [j9]Jiaxin Jiang, Yuan Li, Bingsheng He, Bryan Hooi, Jia Chen, Johan Kok Zhi Kang:
Spade: A Real-Time Fraud Detection Framework on Evolving Graphs. Proc. VLDB Endow. 16(3): 461-469 (2022) - [j8]Siddharth Bhatia, Rui Liu, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos:
Real-Time Anomaly Detection in Edge Streams. ACM Trans. Knowl. Discov. Data 16(4): 75:1-75:22 (2022) - [j7]Miao Xiong, Shen Li, Wenjie Feng, Ailin Deng, Jihai Zhang, Bryan Hooi:
Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation. Trans. Mach. Learn. Res. 2022 (2022) - [c79]Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng:
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks. AAAI 2022: 6737-6745 - [c78]Aashish Kolluri, Teodora Baluta, Bryan Hooi, Prateek Saxena:
LPGNet: Link Private Graph Networks for Node Classification. CCS 2022: 1813-1827 - [c77]Ailin Deng, Shen Li, Miao Xiong, Zhirui Chen, Bryan Hooi:
Trust, but Verify: Using Self-supervised Probing to Improve Trustworthiness. ECCV (13) 2022: 361-377 - [c76]Xu Liu, Yuxuan Liang, Chao Huang, Yu Zheng, Bryan Hooi, Roger Zimmermann:
When do contrastive learning signals help spatio-temporal graph forecasting? SIGSPATIAL/GIS 2022: 5:1-5:12 - [c75]Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor:
The Geometry of Robust Value Functions. ICML 2022: 22727-22751 - [c74]Ailin Deng, Adam Goodge, Lang Yi Ang, Bryan Hooi:
CADET: Calibrated Anomaly Detection for Mitigating Hardness Bias. IJCAI 2022: 2002-2008 - [c73]Shen Li, Bryan Hooi:
Neural PCA for Flow-Based Representation Learning. IJCAI 2022: 3229-3235 - [c72]Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Bryan Hooi:
Time-Aware Neighbor Sampling on Temporal Graphs. IJCNN 2022: 1-8 - [c71]Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah:
Flashlight: Scalable Link Prediction With Effective Decoders. LoG 2022: 14 - [c70]Kuangqi Zhou, Kaixin Wang, Jian Tang, Jiashi Feng, Bryan Hooi, Peilin Zhao, Tingyang Xu, Xinchao Wang:
Jointly Modelling Uncertainty and Diversity for Active Molecular Property Prediction. LoG 2022: 29 - [c69]Juncheng Liu, Zequn Sun, Bryan Hooi, Yiwei Wang, Dayiheng Liu, Baosong Yang, Xiaokui Xiao, Muhao Chen:
Dangling-Aware Entity Alignment with Mixed High-Order Proximities. NAACL-HLT (Findings) 2022: 1172-1184 - [c68]Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Bryan Hooi:
GraphCache: Message Passing as Caching for Sentence-Level Relation Extraction. NAACL-HLT (Findings) 2022: 1698-1708 - [c67]Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi:
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis. NAACL-HLT 2022: 3071-3081 - [c66]Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Xiaokui Xiao:
MGNNI: Multiscale Graph Neural Networks with Implicit Layers. NeurIPS 2022 - [c65]Yifan Zhang, Bryan Hooi, Lanqing Hong, Jiashi Feng:
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition. NeurIPS 2022 - [c64]Juncheng Liu, Yiwei Wang, Bryan Hooi, Renchi Yang, Xiaokui Xiao:
LSCALE: Latent Space Clustering-Based Active Learning for Node Classification. ECML/PKDD (1) 2022: 55-70 - [c63]Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng:
ARES: Locally Adaptive Reconstruction-Based Anomaly Scoring. ECML/PKDD (1) 2022: 193-208 - [c62]Jiaying Wu, Bryan Hooi:
Probing Spurious Correlations in Popular Event-Based Rumor Detection Benchmarks. ECML/PKDD (2) 2022: 274-290 - [c61]Nicholas Lim, Bryan Hooi, See-Kiong Ng, Yong Liang Goh, Renrong Weng, Rui Tan:
Hierarchical Multi-Task Graph Recurrent Network for Next POI Recommendation. SIGIR 2022: 1133-1143 - [c60]Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng:
MonLAD: Money Laundering Agents Detection in Transaction Streams. WSDM 2022: 976-986 - [c59]Siddharth Bhatia, Arjit Jain, Shivin Srivastava, Kenji Kawaguchi, Bryan Hooi:
MemStream: Memory-Based Streaming Anomaly Detection. WWW 2022: 610-621 - [i60]Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng:
MonLAD: Money Laundering Agents Detection in Transaction Streams. CoRR abs/2201.10051 (2022) - [i59]Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor:
The Geometry of Robust Value Functions. CoRR abs/2201.12929 (2022) - [i58]Juncheng Liu, Kenji Kawaguchi, Bryan Hooi, Yiwei Wang, Xiaokui Xiao:
EIGNN: Efficient Infinite-Depth Graph Neural Networks. CoRR abs/2202.10720 (2022) - [i57]Juncheng Liu, Zequn Sun, Bryan Hooi, Yiwei Wang, Dayiheng Liu, Baosong Yang, Xiaokui Xiao, Muhao Chen:
Dangling-Aware Entity Alignment with Mixed High-Order Proximities. CoRR abs/2205.02406 (2022) - [i56]Aashish Kolluri, Teodora Baluta, Bryan Hooi, Prateek Saxena:
LPGNet: Link Private Graph Networks for Node Classification. CoRR abs/2205.03105 (2022) - [i55]Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi:
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis. CoRR abs/2205.03784 (2022) - [i54]Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Bryan Hooi:
GRAPHCACHE: Message Passing as Caching for Sentence-Level Relation Extraction. CoRR abs/2205.03786 (2022) - [i53]Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng:
ARES: Locally Adaptive Reconstruction-based Anomaly Scoring. CoRR abs/2206.07604 (2022) - [i52]Shen Li, Bryan Hooi:
Neural PCA for Flow-Based Representation Learning. CoRR abs/2208.10753 (2022) - [i51]Jiaying Wu, Bryan Hooi:
Probing Spurious Correlations in Popular Event-Based Rumor Detection Benchmarks. CoRR abs/2209.08799 (2022) - [i50]Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah:
Flashlight: Scalable Link Prediction with Effective Decoders. CoRR abs/2209.10100 (2022) - [i49]Nicholas Lim, Bryan Hooi, See-Kiong Ng, Yong Liang Goh:
Joint Triplet Loss Learning for Next New POI Recommendation. CoRR abs/2209.12162 (2022) - [i48]Shumin Deng, Chengming Wang, Zhoubo Li, Ningyu Zhang, Zelin Dai, Hehong Chen, Feiyu Xiong, Ming Yan, Qiang Chen, Mosha Chen, Jiaoyan Chen, Jeff Z. Pan, Bryan Hooi, Huajun Chen:
Construction and Applications of Billion-Scale Pre-trained Multimodal Business Knowledge Graph. CoRR abs/2209.15214 (2022) - [i47]Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Xiaokui Xiao:
MGNNI: Multiscale Graph Neural Networks with Implicit Layers. CoRR abs/2210.08353 (2022) - [i46]Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang:
Reachability-Aware Laplacian Representation in Reinforcement Learning. CoRR abs/2210.13153 (2022) - [i45]Jiaxin Jiang, Yuan Li, Bingsheng He, Bryan Hooi, Jia Chen, Johan Kok Zhi Kang:
Spade: A Real-Time Fraud Detection Framework on Evolving Graphs (Complete Version). CoRR abs/2211.06977 (2022) - [i44]Yifan Zhang, Daquan Zhou, Bryan Hooi, Kai Wang, Jiashi Feng:
Expanding Small-Scale Datasets with Guided Imagination. CoRR abs/2211.13976 (2022) - [i43]Miao Xiong, Shen Li, Wenjie Feng, Ailin Deng, Jihai Zhang, Bryan Hooi:
Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation. CoRR abs/2211.16466 (2022) - [i42]Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson:
A Generalization of ViT/MLP-Mixer to Graphs. CoRR abs/2212.13350 (2022) - 2021
- [j6]Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng:
EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection. Future Gener. Comput. Syst. 115: 236-250 (2021) - [c58]Ailin Deng, Bryan Hooi:
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series. AAAI 2021: 4027-4035 - [c57]Siddharth Bhatia, Arjit Jain, Bryan Hooi:
ExGAN: Adversarial Generation of Extreme Samples. AAAI 2021: 6750-6758 - [c56]Kuangqi Zhou, Yanfei Dong, Kaixin Wang, Wee Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng:
Understanding and Resolving Performance Degradation in Deep Graph Convolutional Networks. CIKM 2021: 2728-2737 - [c55]Hansheng Ren, Miao Xiong, Bryan Hooi:
Robust and Task-Aware Training of Deep Residual Networks for Varying-Lead ECG Classification. CinC 2021: 1-4 - [c54]Shen Li, Jianqing Xu, Xiaqing Xu, Pengcheng Shen, Shaoxin Li, Bryan Hooi:
Spherical Confidence Learning for Face Recognition. CVPR 2021: 15629-15637 - [c53]Kaixin Wang, Kuangqi Zhou, Qixin Zhang, Jie Shao, Bryan Hooi, Jiashi Feng:
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing. ICML 2021: 11003-11012 - [c52]Siddharth Bhatia, Bryan Hooi, Leman Akoglu, Sourav Chatterjee, Xiaodong Jiang, Manish Gupta:
ODD: Outlier Detection and Description. KDD 2021: 4108-4109 - [c51]Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Siddharth Bhatia, Bryan Hooi:
Adaptive Data Augmentation on Temporal Graphs. NeurIPS 2021: 1440-1452 - [c50]Koki Kawabata, Siddharth Bhatia, Rui Liu, Mohit Wadhwa, Bryan Hooi:
SSMF: Shifting Seasonal Matrix Factorization. NeurIPS 2021: 3863-3873 - [c49]Juncheng Liu, Kenji Kawaguchi, Bryan Hooi, Yiwei Wang, Xiaokui Xiao:
EIGNN: Efficient Infinite-Depth Graph Neural Networks. NeurIPS 2021: 18762-18773 - [c48]Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang, Jiashi Feng:
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning. NeurIPS 2021: 29848-29860 - [c47]Siddharth Bhatia, Yiwei Wang, Bryan Hooi, Tanmoy Chakraborty:
GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs. ECML/PKDD (2) 2021: 36-51 - [c46]Shixuan Sun, Yuhang Chen, Bingsheng He, Bryan Hooi:
PathEnum: Towards Real-Time Hop-Constrained s-t Path Enumeration. SIGMOD Conference 2021: 1758-1770 - [c45]Nicholas Lim, Bryan Hooi, See-Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, Rui Tan:
Origin-Aware Next Destination Recommendation with Personalized Preference Attention. WSDM 2021: 382-390 - [c44]Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi:
CurGraph: Curriculum Learning for Graph Classification. WWW 2021: 1238-1248 - [c43]Siddharth Bhatia, Arjit Jain, Pan Li, Ritesh Kumar, Bryan Hooi:
MStream: Fast Anomaly Detection in Multi-Aspect Streams. WWW 2021: 3371-3382 - [c42]Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi:
Mixup for Node and Graph Classification. WWW 2021: 3663-3674 - [i41]Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang, Jiashi Feng:
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning. CoRR abs/2102.06605 (2021) - [i40]Shixuan Sun, Yuhang Chen, Bingsheng He, Bryan Hooi:
PathEnum: Towards Real-Time Hop-Constrained s-t Path Enumeration. CoRR abs/2103.11137 (2021) - [i39]Rui Liu, Siddharth Bhatia, Bryan Hooi:
Isconna: Streaming Anomaly Detection with Frequency and Patterns. CoRR abs/2104.01632 (2021) - [i38]Siddharth Bhatia, Arjit Jain, Shivin Srivastava, Kenji Kawaguchi, Bryan Hooi:
MemStream: Memory-Based Anomaly Detection in Multi-Aspect Streams with Concept Drift. CoRR abs/2106.03837 (2021) - [i37]Siddharth Bhatia, Mohit Wadhwa, Philip S. Yu, Bryan Hooi:
Sketch-Based Streaming Anomaly Detection in Dynamic Graphs. CoRR abs/2106.04486 (2021) - [i36]Ailin Deng, Bryan Hooi:
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series. CoRR abs/2106.06947 (2021) - [i35]Siddharth Bhatia, Yiwei Wang, Bryan Hooi, Tanmoy Chakraborty:
GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs. CoRR abs/2106.15504 (2021) - [i34]Kaixin Wang, Kuangqi Zhou, Qixin Zhang, Jie Shao, Bryan Hooi, Jiashi Feng:
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing. CoRR abs/2107.05545 (2021) - [i33]Yifan Zhang, Bryan Hooi, Lanqing Hong, Jiashi Feng:
Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision. CoRR abs/2107.09249 (2021) - [i32]Xu Liu, Yuxuan Liang, Yu Zheng, Bryan Hooi, Roger Zimmermann:
Spatio-Temporal Graph Contrastive Learning. CoRR abs/2108.11873 (2021) - [i31]Yifan Zhang, Bingyi Kang, Bryan Hooi, Shuicheng Yan, Jiashi Feng:
Deep Long-Tailed Learning: A Survey. CoRR abs/2110.04596 (2021) - [i30]Koki Kawabata, Siddharth Bhatia, Rui Liu, Mohit Wadhwa, Bryan Hooi:
SSMF: Shifting Seasonal Matrix Factorization. CoRR abs/2110.12763 (2021) - [i29]Shubhranshu Shekhar, Dhivya Eswaran, Bryan Hooi, Jonathan Elmer, Christos Faloutsos, Leman Akoglu:
Benefit-aware Early Prediction of Health Outcomes on Multivariate EEG Time Series. CoRR abs/2111.06032 (2021) - [i28]Yiwei Wang, Yujun Cai, Yuxuan Liang, Wei Wang, Henghui Ding, Muhao Chen, Jing Tang, Bryan Hooi:
Structure-Aware Label Smoothing for Graph Neural Networks. CoRR abs/2112.00499 (2021) - [i27]Shen Li, Jianqing Xu, Bryan Hooi:
Probabilistic Contrastive Loss for Self-Supervised Learning. CoRR abs/2112.01642 (2021) - [i26]Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng:
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks. CoRR abs/2112.05355 (2021) - [i25]Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Bryan Hooi:
Time-Aware Neighbor Sampling for Temporal Graph Networks. CoRR abs/2112.09845 (2021) - 2020
- [j5]Kijung Shin, Sejoon Oh, Jisu Kim, Bryan Hooi, Christos Faloutsos:
Fast, Accurate and Provable Triangle Counting in Fully Dynamic Graph Streams. ACM Trans. Knowl. Discov. Data 14(2): 12:1-12:39 (2020) - [c41]Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos:
Midas: Microcluster-Based Detector of Anomalies in Edge Streams. AAAI 2020: 3242-3249 - [c40]