DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector

Jinghan Li, Yuan Gao, Jinda Lu +4

Graph Anomaly Detection (GAD) is crucial for identifying abnormal entities within networks, garnering significant attention across various fields. Traditional unsupervised methods,…