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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)

Paper ID
7218
Venue
SIGMOD
Year
2025
Pagerank
4.1945683e-05
Overall Rank
10,479 | 27.10%
DOI
10.1145/3725287

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