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Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision


Jul 20, 2021
Yifan Zhang, Bryan Hooi, Lanqing Hong, Jiashi Feng


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Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing


Jul 12, 2021
Kaixin Wang, Kuangqi Zhou, Qixin Zhang, Jie Shao, Bryan Hooi, Jiashi Feng

* ICML 2021 

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GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs


Jun 29, 2021
Siddharth Bhatia, Yiwei Wang, Bryan Hooi, Tanmoy Chakraborty

* Accepted at ECML-PKDD 2021 

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Graph Neural Network-Based Anomaly Detection in Multivariate Time Series


Jun 13, 2021
Ailin Deng, Bryan Hooi

* Accepted at AAAI Conference on Artificial Intelligence (AAAI), 2021 

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Sketch-Based Streaming Anomaly Detection in Dynamic Graphs


Jun 08, 2021
Siddharth Bhatia, Mohit Wadhwa, Philip S. Yu, Bryan Hooi


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MemStream: Memory-Based Anomaly Detection in Multi-Aspect Streams with Concept Drift


Jun 07, 2021
Siddharth Bhatia, Arjit Jain, Shivin Srivastava, Kenji Kawaguchi, Bryan Hooi


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Isconna: Streaming Anomaly Detection with Frequency and Patterns


Apr 04, 2021
Rui Liu, Siddharth Bhatia, Bryan Hooi


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Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning


Feb 12, 2021
Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang, Jiashi Feng


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Origin-Aware Next Destination Recommendation with Personalized Preference Attention


Jan 11, 2021
Nicholas Lim, Bryan Hooi, See-Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, Rui Tan

* To appear in the Proceedings of the 14th ACM International Conference on Web Search and Data Mining (WSDM), 2021 

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Dynamic Graph-Based Anomaly Detection in the Electrical Grid


Jan 01, 2021
Shimiao Li, Amritanshu Pandey, Bryan Hooi, Christos Faloutsos, Larry Pileggi


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Active Learning for Node Classification: The Additional Learning Ability from Unlabelled Nodes


Dec 13, 2020
Juncheng Liu, Yiwei Wang, Bryan Hooi, Renchi Yang, Xiaokui Xiao


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Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off


Nov 26, 2020
Minji Yoon, Théophile Gervet, Bryan Hooi, Christos Faloutsos


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Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach


Nov 26, 2020
Minji Yoon, Bryan Hooi, Kijung Shin, Christos Faloutsos


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STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation


Oct 06, 2020
Nicholas Lim, Bryan Hooi, See-Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, Jagannadan Varadarajan

* To appear in Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM), 2020 

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GraphCrop: Subgraph Cropping for Graph Classification


Sep 22, 2020
Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi


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ExGAN: Adversarial Generation of Extreme Samples


Sep 17, 2020
Siddharth Bhatia, Arjit Jain, Bryan Hooi


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Real-Time Streaming Anomaly Detection in Dynamic Graphs


Sep 17, 2020
Siddharth Bhatia, Rui Liu, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos

* arXiv admin note: substantial text overlap with arXiv:1911.04464 

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MStream: Fast Streaming Multi-Aspect Group Anomaly Detection


Sep 17, 2020
Siddharth Bhatia, Arjit Jain, Pan Li, Ritesh Kumar, Bryan Hooi


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Effective Training Strategies for Deep Graph Neural Networks


Jun 12, 2020
Kuangqi Zhou, Yanfei Dong, Wee Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng

* Code is available at  

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SHADOWCAST: Controlling Network Properties to Explain Graph Generation


Jun 06, 2020
Wesley Joon-Wie Tann, Ee-Chien Chang, Bryan Hooi


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MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams


Nov 13, 2019
Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos

* 8 pages, Accepted at AAAI Conference on Artificial Intelligence (AAAI), 2020 [oral paper]; minor fixes 

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Identifying through Flows for Recovering Latent Representations


Sep 27, 2019
Shen Li, Bryan Hooi, Gim Hee Lee


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FairJudge: Trustworthy User Prediction in Rating Platforms


Mar 30, 2017
Srijan Kumar, Bryan Hooi, Disha Makhija, Mohit Kumar, Christos Faloutsos, V. S. Subrahamanian


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BIRDNEST: Bayesian Inference for Ratings-Fraud Detection


Mar 07, 2016
Bryan Hooi, Neil Shah, Alex Beutel, Stephan Gunnemann, Leman Akoglu, Mohit Kumar, Disha Makhija, Christos Faloutsos

* 9 pages; v2: minor typos corrected 

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