Correcting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time

Junjun Pan, Yixin Liu, Chuan Zhou +3

Graph anomaly detection (GAD), which aims to detect outliers in graph-structured data, has received increasing research attention recently. However, existing GAD methods assume ide…