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Maximum k-Biplex Search on Bipartite Graphs: A Symmetric-BK Branching Approach

Summary: Defines MaxBPs: given a bipartite graph, find K maximal k-biplexes with the most edges, without requiring fixed per-side size constraints. Proposes Symmetric-BK branch-and-bound (FastBB, PBIE); achieves O*(gamma_k^n) with gamma_k<2 and O*(gamma_k^d) on sparse graphs; NP-hard; up to 4 orders of magnitude faster than baselines, aiding fraud-detection tasks. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6614
Venue
SIGMOD
Year
2023
Pagerank
6.3485708e-05
Overall Rank
5,141 | 64.73%
DOI
10.1145/3588729

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Authors

BibTeX Citation

@inproceedings{yu_sigmod23,
        title = {{Maximum k-Biplex Search on Bipartite Graphs: A Symmetric-BK Branching Approach}},
        author = {Yu, Kaiqiang and Long, Cheng},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3588729},
        url = {https://dl.acm.org/doi/10.1145/3588729},
        year = {2023}
}

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