Xin-Yi Ma

DR-SGFormer: Dynamic Graph Sparsification with Swin Windows and Hierarchical Fusion for Cryptocurrency Fraud Detection

Graph neural networks (GNNs) show significant potential in anti-money laundering and fraud detection, but Cryptocurrency transaction networks face technical challenges. Existing GNN-based methods are prone to node representation distortion under adversarial attacks, topological pollution from fraudulent nodes in mixing...