Publications

2025

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  Learning from Graph-Graph Relationship A New Perspective On Graph-level Anomaly Detection

  Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Hao Peng, Pietro Liò

  TKDE 2025: IEEE Transactions on Knowledge and Data Engineering (IF 10.4, CCF-A)
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  Enhancing Graph Neural Networks for Out-of-distribution Graph Detection

  Ge Zhang, Zhenyu Yang, Jia Wu, Pengfei Jiao, Jian Yang

  TNNLS 2025: IEEE Transactions on Neural Networks and Learning Systems (IF 8.9, CCF-B)
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  Global Interpretable Graph-level Anomaly Detection via Prototype

  Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Hao Peng, Quan Z. Sheng

  SIGKDD 2025: ACM SIGKDD Conference on Knowledge Discovery and Data Mining (CORE A*, CCF-A)

2024

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  State of the Art and Potentialities of Graph-level Learning

  Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Shan Xue, Chuan Zhou, Charu Aggarwal, Hao Peng, Wenbin Hu, Edwin Hancock, Pietro Li`o

  CSUR 2024: ACM Computing Surveys (IF 28)
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  Minimum Entropy Principle Guided Graph Neural Networks

  Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Hao Peng, Angsheng Li, Shan Xue, Jianlin Su

  WSDM 2023: ACM International Conference on Web Search and Data Mining (CORE A, CCF-B)

2022

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  Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection

  Ge Zhang, Zhenyu Yang, Jia Wu, Jian Yang, Shan Xue, Hao Peng, Jianlin Su, Chuan Zhou, Quan Z. Sheng, Leman Akoglu, Charu C. Aggarwal

  NeurIPS 2022: Conference on Neural Information Processing Systems (CORE A*, CCF-A)