Efficient k-Clique Densest Subgraph Discovery: Towards Bridging Practice and Theory
Summary: Provably sound graph-reduction that localizes the k-clique densest subgraph into a tiny subgraph, tackling high-degeneracy real-world graphs. Combines this reduction with fast k-clique counting to give an approximation with formal guarantees that is up to 10^4× faster and much more memory-efficient in practice. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Yingli Zhou (Chinese University of Hong Kong)
- 2. Qingshuo Guo (Chinese University of Hong Kong)
- 3. Yixiang Fang (Chinese University of Hong Kong)
BibTeX Citation
@article{zhou_vldb25,
title = {{Efficient k-Clique Densest Subgraph Discovery: Towards Bridging Practice and Theory}},
author = {Zhou, Yingli and Guo, Qingshuo and Fang, Yixiang},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {10},
pages = {3490--3503},
doi = {10.14778/3748191.3748210},
url = {https://doi.org/10.14778/3748191.3748210},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,226 | Efficient Anchored Densest Subgraph Discovery: Improved Time Complexity and Practical Performance | 2026 | SIGMOD | 5.093636e-05 |
| 10,363 | Efficient and Scalable Directed Densest Subgraph Discovery | 2026 | SIGMOD | 5.093636e-05 |
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