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Maximum k-Plex Computation: Theory and Practice

Summary: Introduces kPlexT, a two-stage exact max k-plex solver with new reductions and branching, lowering the exponential base to gamma_k. Theoretical bounds depend on alpha and max degree Delta; kPlexT gives practical performance and applies to quasi-cliques and k-biplexes. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6934
Venue
SIGMOD
Year
2024
Pagerank
6.2061433e-05
Overall Rank
5,471 | 62.47%
DOI
10.1145/3639318

Incoming Non-self Citations Over Time

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BibTeX Citation

@inproceedings{chang_sigmod24,
        title = {{Maximum k-Plex Computation: Theory and Practice}},
        author = {Chang, Lijun and Yao, Kai},
        series = {{SIGMOD} '24},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3639318},
        url = {https://dl.acm.org/doi/10.1145/3639318},
        year = {2024}
}

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