DDGAD: Disagreement-Driven Graph Anomaly Detection via Adapt-Then-Combine

Yuxin Yang, Limei Hu, Feng Chen

Graph anomaly detection (GAD) commonly relies on message passing to jointly encode node attributes and neighborhood context. However, once the two are mixed, an abnormal post-encod…