RUSH: Real-time Burst Subgraph Detection in Dynamic Graphs
Summary: RUSH detects real-time "burst subgraphs" in large dynamic graphs by combining subgraph density with rate-of-change metrics to surface rapid fraud signals. It pairs a novel incremental update engine with user-facing APIs for scalable, low-latency deployment (validated at Grab). (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yuhang Chen
- 2. Jiaxin Jiang
- 3. Shixuan Sun
- 4. Bingsheng He
- 5. Min Chen
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,135 | ABFlow: Alert Bursting Flow Query in Streaming Temporal Flow Networks | 2026 | SIGMOD | 4.1945683e-05 |
| 10,276 | AGIS: Fast Approximate Graph Pattern Mining with Structure-Informed Sampling | 2026 | VLDB | 4.1945683e-05 |
| 10,397 | Bursting Flow Query on Large Temporal Flow Networks | 2025 | SIGMOD | 4.1945683e-05 |
| 10,474 | Community Detection in Heterogeneous Information Networks Without Materialization | 2025 | SIGMOD | 4.1945683e-05 |
| 10,479 | Dupin: A Parallel Framework for Densest Subgraph Discovery in Fraud Detection on Massive Graphs | 2025 | SIGMOD | 4.1945683e-05 |
| 10,720 | RICH: Real-time Identification of negative Cycles for High-efficiency Arbitrage | 2025 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 644 | Densest Subgraph in Streaming and MapReduce | 2012 | VLDB | 0.00018748988 |
| 2,049 | Community Detection in Social Networks: An In-depth Benchmarking Study with a Procedure-Oriented Framework | 2015 | VLDB | 9.6894639e-05 |
| 3,367 | Online Density Bursting Subgraph Detection from Temporal Graphs | 2019 | VLDB | 7.1725806e-05 |
| 4,208 | Mining Bursting Core in Large Temporal Graphs | 2022 | VLDB | 6.357214e-05 |
| 7,158 | GPU-Accelerated Graph Label Propagation for Real-Time Fraud Detection | 2021 | SIGMOD | 4.8143783e-05 |
| 8,431 | Spade: A Real-Time Fraud Detection Framework on Evolving Graphs | 2023 | VLDB | 4.5154339e-05 |
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