Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection
Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection
The graph-based model can help to detect suspicious fraud online. Owing to the development of Graph Neural Networks~(GNNs), prior research work has proposed many GNN-based fraud detection frameworks based on either homogeneous graphs or heterogeneous graphs. These work follow the existing GNN framework by aggregating the neighboring information to learn …