Graph Anomaly Detection with Noisy Labels by Reinforcement Learning
Graph Anomaly Detection with Noisy Labels by Reinforcement Learning
Graph anomaly detection (GAD) has been widely applied in many areas, e.g., fraud detection in finance and robot accounts in social networks. Existing methods are dedicated to identifying the outlier nodes that deviate from normal ones. While they heavily rely on high-quality annotation, which is hard to obtain in real-world …