Graph Networks - Striking fraud syndicates in the dark

This post introduces Grab's advancements in fraud detection using graph network technologies. It details the development of a Graph Database Platform for visualization and network-based feature engineering, and Graph-based Machine Learning models, specifically Graph Neural Networks (GNNs), for scenarios like anti-money laundering and fraud detection. The post highlights the identification of fraudulent syndicates by analyzing relationships between entities (users, IPs, devices) and discusses the use of AWS Neptune for future infrastructure development.