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bsajja7/travel-fraud-graphs

TravelFraudBench (TFG) The first publicly available labeled heterogeneous graph benchmark for GNN-based fraud ring detection in travel networks. Paper Dataset Structure This dataset contains heterogeneous graph data split into 20 named configurations — one per node type and one per edge type — each with small, medium, and large splits. Loading a specific node or edge table from datasets import load_dataset # Load user nodes (medium scale) users =… See the full description on the dataset page: https://huggingface.co/datasets/bsajja7/travel-fraud-graphs.

Author / organizationbsajja7
License (as declared)mit
Downloads294 (as reported by Hugging Face)
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Created22 April 2026
Last updated at source8 May 2026
fraud-detectiongraph-neural-networksbenchmarktravelsyntheticheterogeneous-graphring-recovery
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