• Media type: Text; E-Article; Electronic Conference Proceeding
  • Title: Exploiting c-Closure in Kernelization Algorithms for Graph Problems
  • Contributor: Koana, Tomohiro [Author]; Komusiewicz, Christian [Author]; Sommer, Frank [Author]
  • Published: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2020
  • Language: English
  • DOI: https://doi.org/10.4230/LIPIcs.ESA.2020.65
  • Keywords: kernelization ; c-closure ; Ramsey numbers ; Induced Matching ; Dominating Set ; Irredundant Set ; Fixed-parameter tractability
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  • Description: A graph is c-closed if every pair of vertices with at least c common neighbors is adjacent. The c-closure of a graph G is the smallest number c such that G is c-closed. Fox et al. [SIAM J. Comput. '20] defined c-closure and investigated it in the context of clique enumeration. We show that c-closure can be applied in kernelization algorithms for several classic graph problems. We show that Dominating Set admits a kernel of size k^𝒪(c), that Induced Matching admits a kernel with 𝒪(c⁷ k⁸) vertices, and that Irredundant Set admits a kernel with 𝒪(c^{5/2} k³) vertices. Our kernelization exploits the fact that c-closed graphs have polynomially-bounded Ramsey numbers, as we show.
  • Access State: Open Access