Spade: A Real-Time Fraud Detection Framework
Summary: Spade: real-time fraud detection on transaction graphs using incremental dense-subgraph peeling to enable low-latency, scalable updates and higher fraud-prevention ratios versus batch methods. Demo exposes an interactive GUI for algorithm/metric tuning and visual exploration on industrial datasets (Grab, crypto). (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Jiaxin Jiang
- 2. Zhen Zhang
- 3. Bingqiao Luo
- 4. Bingsheng He
- 5. Min Chen
- 6. WeiYang Wang
- 7. Jia Chen
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,431 | Spade: A Real-Time Fraud Detection Framework on Evolving Graphs | 2023 | VLDB | 4.5154339e-05 |
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