Jun-Zheng Li

HDN-GFD: Hypergraph neural network with dynamic neighborhood aggregation for graph-based camouflaged fraud detection

HND-GFD is proposed, a novel fraud detection framework integrating high-order hypergraph modeling and dynamic neighborhood aggregation that consistently outperforms state-of-the-art baselines and adaptively aggregates neighborhood information from benign and fraudulent perspectives.