Xu Hua

Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective

The superiority of graph contrastive learning (GCL) has prompted its application to anomaly detection tasks for more powerful risk warning systems. Unfortunately, existing GCL-based models tend to excessively prioritize overall detection performance while neglecting robustness to structural imbalanc…