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Efficient Maximum k-Plex Computation over Large Sparse Graphs

Summary: Presents kPlexS: iteratively extracts small dense subgraphs from large sparse graphs and solves each via branch-and-bound for scalable maximum k-plex computation. Novel CTCP exhaustively reduces vertices/edges (iteratively applied) and BBMatrix uses adjacency-matrix first- and second-order reductions/upper bounds with incremental updates; empirically outperforms BnB, Maplex, and KpLeX. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
12993
Venue
VLDB
Year
2023
Pagerank
6.4642761e-05
Overall Rank
4,081 | 71.62%
DOI
10.14778/3565816.3565817

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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
108 Truss Decomposition in Massive Networks 2012 VLDB 0.00048300163
847 Finding the Maximum Clique in Massive Graphs 2017 VLDB 0.00015993322
1,650 Efficient Enumeration of Maximal k-Plexes 2015 SIGMOD 0.00011013428
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