TERGAD: Structure-Aware Text-Enhanced Representations for Graph Anomaly Detection

Wen Shi, Zhe Wang, Huafei Huang +6

Graph Anomaly Detection (GAD) aims to identify atypical graph entities, such as nodes, edges, or substructures, that deviate significantly from the majority. While existing text-ri…