KClist++: A Simple Algorithm for Finding k-Clique Densest Subgraphs in Large Graphs
Summary: KClist++ offers a surprisingly simple procedure for exact and near-optimal k-clique densest subgraph discovery at scale. It combines structural results, k-clique listing, and sampling to deliver state-of-the-art performance on massive real-world graphs. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Bintao Sun (University of Hong Kong)
- 2. Maximilien Danisch (CNRS; Sorbonne University)
- 3. T-H. Hubert Chan (University of Hong Kong)
- 4. Mauro Sozio (Institut Polytechnique de Paris; Telecom Paris)
BibTeX Citation
@article{sun_vldb20,
title = {{KClist++: A Simple Algorithm for Finding k-Clique Densest Subgraphs in Large Graphs}},
author = {Sun, Bintao and Danisch, Maximilien and Chan, T-H. Hubert and Sozio, Mauro},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {10},
pages = {1628--1640},
doi = {10.14778/3401960.3401962},
url = {https://doi.org/10.14778/3401960.3401962},
year = {2020}
}Incoming Citations (Sorted by Pagerank)
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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 |
|---|---|---|---|---|
| 262 | On Triangulation-based Dense Neighborhood Graph Discovery | 2011 | VLDB | 0.00023084332 |
| 269 | 3-HOP: A High-Compression Indexing Scheme for Reachability Query | 2009 | SIGMOD | 0.00022786599 |
| 564 | Densest Subgraph in Streaming and MapReduce | 2012 | VLDB | 0.00016485347 |
| 1,018 | Dense Subgraph Maintenance under Streaming Edge Weight Updates for Real-time Story Identification | 2012 | VLDB | 0.0001263063 |
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