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Fast Maximal Quasi-clique Enumeration: A Pruning and Branching Co-Design Approach

Summary: FastQC: a fast branch-and-bound method for maximal gamma-quasi-cliques with a co-designed pruning and branching strategy. Divide-and-conquer boosts performance; experiments on real graphs show up to two orders of magnitude speedup over prior methods. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6776
Venue
SIGMOD
Year
2023
Pagerank
5.7222954e-05
Overall Rank
7,032 | 51.76%
DOI
10.1145/3617331

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{yu_sigmod23,
        title = {{Fast Maximal Quasi-clique Enumeration: A Pruning and Branching Co-Design 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 = {10.1145/3617331},
        url = {https://dl.acm.org/doi/10.1145/3617331},
        year = {2023}
}

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