KClist++: A Simple Algorithm for Finding k-Clique Densest Subgraphs in Large Graphs
Summary: KClist++: a simple procedure for the maximal k-clique densest subgraph in large real-world graphs. It fuses k-clique listing with sampling to deliver near-optimal/exact, scalable solutions and state-of-the-art results on graphs with billions of edges. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Bintao Sun
- 2. Maximilien Danisch
- 3. T-H. Hubert Chan
- 4. Mauro Sozio
Incoming Citations (Sorted by Pagerank)
Showing 19 of 19 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 110 | On Triangulation-based Dense Neighborhood Graph Discovery | 2011 | VLDB | 0.00047892924 |
| 279 | 3-HOP: A High-Compression Indexing Scheme for Reachability Query | 2009 | SIGMOD | 0.00029113513 |
| 644 | Densest Subgraph in Streaming and MapReduce | 2012 | VLDB | 0.00018748988 |
| 1,029 | Dense Subgraph Maintenance under Streaming Edge Weight Updates for Real-time Story Identification | 2012 | VLDB | 0.00014582849 |
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| 4,081 | Efficient Maximum k-Plex Computation over Large Sparse Graphs | 2023 | VLDB | 6.4642761e-05 |
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| 10,074 | Efficient Defective Clique Enumeration and Search with Worst-Case Optimal Search Space | 2026 | SIGMOD | 4.1945683e-05 |
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| 847 | Finding the Maximum Clique in Massive Graphs | 2017 | VLDB | 0.00015993322 |
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| 9,403 | A Counting-based Approach for Efficient k-Clique Densest Subgraph Discovery | 2024 | SIGMOD | 4.3441378e-05 |
| 4,145 | Scaling Up k-Clique Densest Subgraph Detection | 2023 | SIGMOD | 6.4122551e-05 |