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Finding the Maximum Clique in Massive Graphs

Summary: RMC finds exact maximum cliques in massive graphs via randomized, probability-guaranteed seed-set reduction and binary search over clique size bounds. It replaces per-vertex enumeration with iterative k-clique searches, delivering substantially greater efficiency and robustness. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h8095ee1c6bf1f850
Venue
VLDB
Year
2017
Pagerank
0.0001046246
Overall Rank
1,495 | 89.99%
DOI
10.14778/3137628.3137635
PDF
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Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{lu_vldb17,
        title = {{Finding the Maximum Clique in Massive Graphs}},
        author = {Lu, Can and Yu, Jeffrey Xu and Wei, Hao and Zhang, Yikai},
        journal = {PVLDB},
        series = {{VLDB} '17},
        volume = {10},
        number = {11},
        pages = {1538--1549},
        doi = {10.14778/3137628.3137635},
        url = {https://doi.org/10.14778/3137628.3137635},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

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

Rank Cited Paper Year Venue Pagerank
96 Truss Decomposition in Massive Networks 2012 VLDB 0.00034261728
130 Discovering Large Dense Subgraphs in Massive Graphs 2005 VLDB 0.0003029792
643 Finding Maximal Cliques in Massive Networks by H*-graph 2010 SIGMOD 0.00015219469
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