Mitigating Homophily Disparity in Graph Anomaly Detection: A Scalable and Adaptive Approach

Yunhui Liu, Qizhuo Xie, Yinfeng Chen +4

Graph anomaly detection (GAD) aims to identify nodes that deviate from normal patterns in structure or features. While recent GNN-based approaches have advanced this task, they str…