Dupin: A Parallel Framework for Densest Subgraph Discovery in Fraud Detection on Massive Graphs
Summary: Dupin is a parallel DSD framework for billion-scale fraud graphs, exploiting peeling-based properties for scalable, quality-guaranteed detection with a flexible API. Up to 100x speedups; fraud detection improves 45.3% to 94.5%, density error below 5%. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Jiaxin Jiang
- 2. Siyuan Yao
- 3. Yuchen Li
- 4. Qiange Wang
- 5. Bingsheng He
- 6. Min Chen
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