Fraud Detection with Binding Global and Local Relational Interaction

arXiv:2402.17472v1 Announce Type: new
Abstract: Graph Neural Network has been proved to be effective for fraud detection for its capability to encode node interaction and aggregate features in a holistic view. Recently, Transformer network with great sequence encoding ability, has also outperformed other GNN-based methods in literatures. However, both GNN-based and Transformer-based networks only encode one perspective of the whole graph, while GNN encodes global features and Transformer network encodes local ones. Furthermore, previous works ignored encoding global interaction features …

abstract arxiv capability cs.ai cs.lg detection encode encoding features fraud fraud detection global gnn graph graph neural network network neural network node relational transformer transformer network type view