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An Efficient and Exact Algorithm for Locally h-Clique Densest Subgraph Discovery

Summary: Introduces IPPV, an exact top-k locally h-clique densest-subgraph pipeline under a non-overlapping constraint. It fuses convex-bound tightening, cross-subgraph clique handling via decomposition, and fast flow-based verification, with proofs of exactness and applicability to broader pattern-densest problems. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7036
Venue
SIGMOD
Year
2024
Pagerank
5.2351259e-05
Overall Rank
9,696 | 33.48%
DOI
10.1145/3698800

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{xu_sigmod24,
        title = {{An Efficient and Exact Algorithm for Locally h-Clique Densest Subgraph Discovery}},
        author = {Xu, Xiaojia and Liu, Haoyu and Lv, Xiaowei and Wang, Yongcai and Li, Deying},
        series = {{SIGMOD} '24},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3698800},
        url = {https://dl.acm.org/doi/10.1145/3698800},
        year = {2024}
}

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10,367 Efficient Size-Bounded Community Search, Revisited: Frameworks for Practical Improvements 2026 SIGMOD 5.093636e-05
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