Multi-Scale Adaptive Neighborhood Awareness Transformer For Graph Fraud Detection

Researchers propose MANDATE, a Multi-scale Neighborhood Awareness Transformer that improves graph fraud detection by addressing limitations of traditional graph neural networks. The system uses multi-scale positional encoding and different embedding strategies to better identify fraudulent behavior in financial networks and social media platforms.