Parameterized Algorithms for Conflict-free Colorings of Graphs
I. Vinod Reddy

TL;DR
This paper investigates the conflict-free coloring of graphs based on neighborhoods, establishing fixed-parameter tractability results, approximation algorithms, and polynomial-time solutions for specific graph classes, advancing understanding of the problem's complexity.
Contribution
It extends fixed-parameter tractability results for conflict-free coloring to new parameters and graph classes, and provides polynomial algorithms for certain graph types.
Findings
Both conflict-free coloring problems are FPT when parameterized by cluster vertex deletion number.
Polynomial-time algorithms exist for cographs and split graphs for specific cases.
Interval graphs can be conflict-free colored with at most four colors.
Abstract
In this paper, we study the conflict-free coloring of graphs induced by neighborhoods. A coloring of a graph is conflict-free if every vertex has a uniquely colored vertex in its neighborhood. The conflict-free coloring problem is to color the vertices of a graph using the minimum number of colors such that the coloring is conflict-free. We consider both closed neighborhoods, where the neighborhood of a vertex includes itself, and open neighborhoods, where a vertex does not included in its neighborhood. We study the parameterized complexity of conflict-free closed neighborhood coloring and conflict-free open neighborhood coloring problems. We show that both problems are fixed-parameter tractable (FPT) when parameterized by the cluster vertex deletion number of the input graph. This generalizes the result of Gargano et al.(2015) that conflict-free coloring is fixed-parameter tractable…
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