From CSV to Fraud Graphs: An Automated LLM-Guided Pipeline for Graph-Based Fraud Detection and Querying
Graph-based fraud detection can capture relational dependencies among suspicious transactions, but constructing graph representations from raw CSV files and querying the resulting graph database still require substantial schema engineering. We propose an end-to-end framework that uses a small language model (SLM) to in...