collaborators

1 paper

cs.LG2025

Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective

Di Jin, Jingyi Cao, Xiaobao Wang +4

Graph anomaly detection aims to identify unusual patterns in graph-based data, with wide applications in fields such as web security and financial fraud detection. Existing methods…