Independent Set on P$_k$-Free Graphs in Quasi-Polynomial Time
Peter Gartland, Daniel Lokshtanov

TL;DR
This paper introduces a quasi-polynomial time algorithm for finding maximum weight independent sets in P_k-free graphs, resolving an open problem and extending the class of graphs where the problem is efficiently solvable.
Contribution
It provides the first quasi-polynomial time algorithm for P_k-free graphs, confirming the problem is not NP-complete for any fixed k.
Findings
Algorithm runs in n^{O(k^2 log^3 n)} time for P_k-free graphs.
First evidence that Independent Set on P_k-free graphs is not NP-complete.
Extension of algorithm to T_k-free graphs with specific components.
Abstract
We present an algorithm that takes as input a graph with weights on the vertices, and computes a maximum weight independent set of . If the input graph excludes a path on vertices as an induced subgraph, the algorithm runs in time . Hence, for every fixed our algorithm runs in quasi-polynomial time. This resolves in the affirmative an open problem of [Thomass\'{e}, SODA'20 invited presentation]. Previous to this work, polynomial time algorithms were only known for -free graphs [Corneil et al., DAM'81], -free graphs [Lokshtanov et al., SODA'14], and -free graphs [Grzesik et al., SODA'19]. For larger values of , only time algorithms [Basc\'{o} et al., Algorithmica'19] and quasi-polynomial time approximation schemes [Chudnovsky et al., SODA'20] were known. Thus, our work is the first to offer…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComplexity and Algorithms in Graphs · Advanced Graph Theory Research · Optimization and Search Problems
