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Hereditary Cohesive Subgraphs Enumeration on Bipartite Graphs: The Power of Pivot-based Approaches

Summary: Pivot-based enumeration framework for maximal hereditary subgraphs in bipartite graphs, unifying maximal bicliques and maximal k-biplexes. Near-optimal: O(m × 2^{n/2}) (O(m × 1.414^n)); polynomial-delay variant; experiments on 11 real graphs show speedups. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6703
Venue
SIGMOD
Year
2023
Pagerank
6.2418958e-05
Overall Rank
5,374 | 63.14%
DOI
10.1145/3589283

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{dai_sigmod23,
        title = {{Hereditary Cohesive Subgraphs Enumeration on Bipartite Graphs: The Power of Pivot-based Approaches}},
        author = {Dai, Qiangqiang and Li, Rong-Hua and Ye, Xiaowei and Liao, Meihao and Zhang, Weipeng and Wang, Guoren},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3589283},
        url = {https://dl.acm.org/doi/10.1145/3589283},
        year = {2023}
}

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