Boxuan Jiao

Wasserstein Heterogeneous Graph Neural Networks for Uncertainty-Aware Anomaly Detection

Graph anomaly detection, a critical topic in graph mining, has garnered significant research interest and found applications across diverse domains such as attack event detection, spam review identification, and financial fraud prevention. Graph Neural Networks (GNNs) have emerged as the dominant ap…