Generative Semi-supervised Graph Anomaly Detection

Hezhe Qiao, Qingsong Wen, Xiaoli Li +2

This work considers a practical semi-supervised graph anomaly detection (GAD) scenario, where part of the nodes in a graph are known to be normal, contrasting to the extensively ex…