Existing weakly supervised video anomaly detection methods mainly employ Multiple Instance Learning (MIL) to identify abnormal snippets in untrimmed videos. However, the semantics and presentations of ...

Graph anomaly detection is a crucial area in data mining and machine learning, with applications in network security, fraud detection, and health monitoring. Current methods, however, face limitations ...

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