Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph Learning

Hang Ni, Jindong Han, Nengjun Zhu +1

Graph Anomaly Detection (GAD) plays a vital role in various data mining applications such as e-commerce fraud prevention and malicious user detection. Recently, Graph Neural Networ…