A Graph Database Approach to Multi-Hop Fraud Pattern Analysis
A graph-database-driven framework engineered for multi-hop fraud pattern analysis, representing financial entities as nodes and their interactions as explicit relationships aimed at delivering transparent, evidence-backed insight for fraud investigations is presented.