Finding large sparse induced subgraphs in graphs of small (but not very small) tree-independence number
Daniel Lokshtanov, Micha{\l} Pilipczuk, Pawe{\l} Rz\k{a}\.zewski

TL;DR
This paper refines algorithms for finding large sparse induced subgraphs in graphs with small to moderate tree-independence number, achieving more practical running times for certain graph classes.
Contribution
The authors improve the algorithmic complexity from polynomial in the tree-independence number to n^{O(k)}, enabling efficient solutions for larger k.
Findings
Algorithm runs in n^{O(k)} time, improving previous exponential dependence.
Applicable to classes with polylogarithmic tree-independence number, achieving quasipolynomial time.
Subexponential time algorithms for geometric intersection graphs with balanced clique separators.
Abstract
The independence number of a tree decomposition is the size of a largest independent set contained in a single bag. The tree-independence number of a graph is the minimum independence number of a tree decomposition of . As shown recently by Lima et al. [ESA~2024], a large family of optimization problems asking for a maximum-weight induced subgraph of bounded treewidth, satisfying a given \textsf{CMSO} property, can be solved in polynomial time in graphs whose tree-independence number is bounded by some constant~. However, the complexity of the algorithm of Lima et al. grows rapidly with , making it useless if the tree-independence number is superconstant. In this paper we present a refined version of the algorithm. We show that the same family of problems can be solved in time~, where is the number of vertices of the instance, is the…
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Taxonomy
TopicsAdvanced Graph Theory Research · Complexity and Algorithms in Graphs · Graph Theory and Algorithms
