FWA Synthetic Graph v1 is a synthetic knowledge graph representing federal grant and loan program entities with planted fraud typologies, designed for Graph Neural Network (GNN) training and Salesforce Data Cloud identity resolution demonstration.
The dataset models realistic federal assistance program operations including applicants, applications, payments, vendors, and agencies. It contains 925 carefully planted fraud clusters… See the full description on the dataset page: https://huggingface.co/datasets/kvirtue/fwa-synthetic-graph-v1.
