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Efficient Maximum k-Defective Clique Computation with Improved Time Complexity

Summary: Introduces kDC, a framework for exact maximum k-defective clique with sub-2^n time, via non-fully-adjacent-first branching, excess-removal, and high-degree reductions. Separates worst-case techniques from practical optimizations; adds a tighter upper bound, two reductions, and fast initial solution; benchmarks on 290 graphs show kDC vastly outperforms KDBB. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6708
Venue
SIGMOD
Year
2023
Pagerank
5.7867286e-05
Overall Rank
4,984 | 65.33%
DOI
10.1145/3617313

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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
1,029 Dense Subgraph Maintenance under Streaming Edge Weight Updates for Real-time Story Identification 2012 VLDB 0.00014582849
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