TrustGraph: Federated Graph Neural Networks for Cross-Platform Trust and Fraud Propagation Analysis

Centralized fraud detection systems in e-commerce ecosystems face significant limitations due to stringent data privacy regulations, platform heterogeneity, and the distributed nature of sophisticated fraud rings operating across multiple marketplaces. Existing approaches predominantly rely on isolated platform-specific models or centrally aggregated data, fundamentally limiting their ability to capture cross-platform trust relationships and fraud propagation dynamics that characterize modern coordinated fraud campaigns. We propose TrustGraph, a federated graph neural network framework designed for privacy-preserving cross-platform fraud detection in distributed e-commerce environments. TrustGraph models…