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Fast Maximum Common Subgraph Search: A Redundancy-Reduced Backtracking Approach

Summary: RRSplit is a redundancy-reduced backtracking algorithm for maximum common subgraph search. It introduces reductions and upper bounds to prune unpromising branches, providing a worst-case guarantee matching the best-known bound while delivering substantial practical speedups over McSplit. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7354
Venue
SIGMOD
Year
2025
Pagerank
6.0972035e-05
Overall Rank
5,758 | 60.50%
DOI
10.1145/3725404

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{yu_sigmod25,
        title = {{Fast Maximum Common Subgraph Search: A Redundancy-Reduced Backtracking Approach}},
        author = {Yu, Kaiqiang and Wang, Kaixin and Long, Cheng and Lakshmanan, Laks and Cheng, Reynold},
        series = {{SIGMOD} '25},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3725404},
        url = {https://dl.acm.org/doi/10.1145/3725404},
        year = {2025}
}

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