UniGAD: Unifying Multi-level Graph Anomaly Detection

Yiqing Lin, Jianheng Tang, Chenyi Zi +3

Graph Anomaly Detection (GAD) aims to identify uncommon, deviated, or suspicious objects within graph-structured data. Existing methods generally focus on a single graph object typ…