Discovering Large Dense Subgraphs in Massive Graphs
Summary: Shingles-based recursive fingerprinting for large dense subgraphs in massive graphs; scalable on a single machine to tens of billions of edges. On a 50M-host, 11B-edge Web graph, it finds hundreds of giant dense subgraphs and proposes dense-subgraph extraction for spam detection in search engines. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. David Gibson
- 2. Ravi Kumar
- 3. Andrew Tomkins
Incoming Citations (Sorted by Pagerank)
Showing 38 of 38 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,676 | Extracting large-scale knowledge bases from the web | 1999 | VLDB | 6.0052781e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,651 | Efficient and Effective Algorithms for Generalized Densest Subgraph Discovery | 2023 | SIGMOD | 4.3109001e-05 |
| 651 | Efficient Subgraph Matching on Billion Node Graphs | 2012 | VLDB | 0.00018648572 |
| 5,226 | Link Spam Detection Based on Mass Estimation | 2006 | VLDB | 5.6187905e-05 |
| 10,535 | In-depth Analysis of Densest Subgraph Discovery in a Unified Framework | 2025 | VLDB | 4.1945683e-05 |
| 11,410 | Densest Subgraph Discovery on Large Graphs: Applications, Challenges, and Techniques | 2022 | VLDB | 4.1945683e-05 |
| 10,490 | Integral Densest Subgraph Search on Directed Graphs | 2025 | SIGMOD | 4.1945683e-05 |
| 2,909 | Efficient Algorithms for Densest Subgraph Discovery | 2019 | VLDB | 7.9305767e-05 |
| 4,089 | On Dense Pattern Mining in Graph Streams [Extended Abstract] | 2010 | VLDB | 6.4587806e-05 |
| 644 | Densest Subgraph in Streaming and MapReduce | 2012 | VLDB | 0.00018748988 |
| 4,344 | Efficient Algorithms for Densest Subgraph Discovery on Large Directed Graphs | 2020 | SIGMOD | 6.2744553e-05 |