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Computing A Near-Maximum Independent Set in Linear Time by Reducing-Peeling

Summary: Introducing Reducing-Peeling, a linear-time framework that builds large independent sets by reducing low-degree vertices and peeling high-degree ones when needed. LinearTime and NearLinear apply novel reduction rules to beat prior linear-time MIS methods and accelerate iterated local search. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h6ebbd41f3cf56c35
Venue
SIGMOD
Year
2017
Pagerank
5.4792319e-05
Overall Rank
7,634 | 48.68%
DOI
10.1145/3035918.3035939

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{chang_sigmod17,
        title = {{Computing A Near-Maximum Independent Set in Linear Time by Reducing-Peeling}},
        author = {Chang, Lijun and Li, Wei and Zhang, Wenjie},
        series = {{SIGMOD} '17},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3035918.3035939},
        url = {https://dl.acm.org/doi/10.1145/3035918.3035939},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
4,981 Accelerating Maximal Clique Enumeration via Graph Reduction 2024 VLDB 6.329157e-05
6,965 BSX : Subgraph Matching with Batch Backtracking Search 2025 SIGMOD 5.6328006e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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