Generalist Graph Anomaly Detection via Prototype-Based Distillation

Yiming Xu, Zihan Chen, Zhen Peng +4

Driven by the pressing demand for graph anomaly detection (GAD) in high-stakes domains, the generalist GAD paradigm, which trains a single detector transferable across new graphs,…