DBScholar

Back to papers

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)

Paper ID
13760
Venue
VLDB
Year
2024
Pagerank
5.3058708e-05
Overall Rank
9,189 | 36.96%
DOI
10.14778/3681954.3682028

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{chen_vldb24,
        title = {{RUSH: Real-time Burst Subgraph Detection in Dynamic Graphs}},
        author = {Chen, Yuhang and Jiang, Jiaxin and Sun, Shixuan and He, Bingsheng and Chen, Min},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {11},
        pages = {3657--3665},
        doi = {10.14778/3681954.3682028},
        url = {https://doi.org/10.14778/3681954.3682028},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Previous Page 1 / 1 Next

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.

Previous Page 1 / 1 Next

Semantically Similar Papers