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  1. No Access

    Chapter and Conference Paper

    Discriminative Graph-Level Anomaly Detection via Dual-Students-Teacher Model

    Different from the current node-level anomaly detection task, the goal of graph-level anomaly detection is to find abnormal graphs that significantly differ from others in a graph set. Due to the scarcity of r...

    Fu Lin, Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue… in Advanced Data Mining and Applications (2023)

  2. Article

    Open Access

    Deep graph level anomaly detection with contrastive learning

    Graph level anomaly detection (GLAD) aims to spot anomalous graphs that structure pattern and feature information are different from most normal graphs in a graph set, which is rarely studied by other research...

    Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Hao Peng, Chuan Zhou… in Scientific Reports (2022)

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