Towards Anomaly-Aware Pre-Training and Fine-Tuning for Graph Anomaly Detection

Yunhui Liu, Jiashun Cheng, Yiqing Lin +7

Graph anomaly detection (GAD) has garnered increasing attention in recent years, yet remains challenging due to two key factors: (1) label scarcity stemming from the high cost of a…