Semi-supervised Graph Anomaly Detection via Robust Homophily Learning

Guoguo Ai, Hezhe Qiao, Hui Yan +1

Semi-supervised graph anomaly detection (GAD) utilizes a small set of labeled normal nodes to identify abnormal nodes from a large set of unlabeled nodes in a graph. Current method…