FGAD: Self-boosted Knowledge Distillation for An Effective Federated Graph Anomaly Detection Framework

Jinyu Cai, Yunhe Zhang, Zhoumin Lu +2

Graph anomaly detection (GAD) aims to identify anomalous graphs that significantly deviate from other ones, which has raised growing attention due to the broad existence and comple…