collaborators

1 paper

cs.LG2026

Balanced Edge Pruning for Graph Anomaly Detection with Noisy Labels

Zhu Wang, Junnan Dong, Shuang Zhou +3

Graph anomaly detection (GAD) is widely applied in many areas, such as financial fraud detection and social spammer detection. Anomalous nodes in the graph not only impact their ow…