Maximum Weight Independent Sets for ($S_{1,2,4}$,Triangle)-Free Graphs in Polynomial Time
Andreas Brandst\"adt, Raffaele Mosca

TL;DR
This paper proves that the Maximum Weight Independent Set problem can be solved efficiently in polynomial time for a new class of graphs that exclude certain small subgraphs, extending previous results in graph theory.
Contribution
It introduces a polynomial-time algorithm for MWIS on ($S_{1,2,4}$,triangle)-free graphs, generalizing earlier results for ($P_7$,triangle)-free graphs.
Findings
MWIS solvable in polynomial time for ($S_{1,2,4}$,triangle)-free graphs
Extends previous polynomial-time results to a broader class of graphs
Provides new techniques for handling specific graph restrictions
Abstract
The Maximum Weight Independent Set (MWIS) problem on finite undirected graphs with vertex weights asks for a set of pairwise nonadjacent vertices of maximum weight sum. MWIS is one of the most investigated and most important algorithmic graph problems; it is well known to be NP-complete, and it remains NP-complete even under various strong restrictions such as for triangle-free graphs. Its complexity for -free graphs, , is an open problem. In \cite{BraMos2018}, it is shown that MWIS can be solved in polynomial time for (,triangle)-free graphs. This result is extended by Maffray and Pastor \cite{MafPas2016} showing that MWIS can be solved in polynomial time for (,bull)-free graphs. In the same paper, they also showed that MWIS can be solved in polynomial time for (,bull)-free graphs. In this paper, using a similar approach as in \cite{BraMos2018}, we…
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
TopicsAdvanced Graph Theory Research · Complexity and Algorithms in Graphs · Optimization and Search Problems
