Guanghui Hu

F2GNN: An Adaptive Filter with Feature Segmentation for Graph-Based Fraud Detection

Graph Neural Networks (GNNs) have received remarkable success in identifying fraudulent activities on graphs. Most approaches leverage the full user feature together and aggregate the messages from its neighbors by a graph filter. However, due to the adversarial activities like the camouflage of fra…