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)
Incoming Non-self Citations Over Time
Authors
- 1. Jiaxin Jiang (National University of Singapore)
- 2. Siyuan Yao (National University of Singapore)
- 3. Yuchen Li (Singapore Management University)
- 4. Qiange Wang (National University of Singapore)
- 5. Bingsheng He (National University of Singapore)
- 6. Min Chen (GrabTaxi Holdings)
BibTeX Citation
@inproceedings{jiang_sigmod25,
title = {{Dupin: A Parallel Framework for Densest Subgraph Discovery in Fraud Detection on Massive Graphs}},
author = {Jiang, Jiaxin and Yao, Siyuan and Li, Yuchen and Wang, Qiange and He, Bingsheng and Chen, Min},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3725287},
url = {https://dl.acm.org/doi/10.1145/3725287},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,805 | TVA: A Version-aware Temporal Graph Storage System for Real-time Analytics | 2026 | VLDB | 4.9793485e-05 |
| 10,860 | Maximum Defective Biclique Search in Large Bipartite Graphs | 2026 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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