Graph Motif Problems Parameterized by Dual
Abstract
Let be a vertex-colored graph, where is the set of colors used to color . The Graph Motif (or GM) problem takes as input , a multiset of colors built from , and asks whether there is a subset such that (i) is connected and (ii) the multiset of colors obtained from equals . The Colorful Graph Motif (or CGM) problem is the special case of GM in which is a set, and the List-Colored Graph Motif (or LGM) problem is the extension of GM in which each vertex of may choose its color from a list of colors. We study the three problems GM, CGM, and LGM, parameterized by the dual parameter . For general graphs, we show that, assuming the strong exponential time hypothesis, CGM has no -time algorithm, which implies that a previous algorithm, running in time is optimal [Betzler et al., IEEE/ACM TCBB 2011]. We also prove that LGM is W[1]-hard with respect to even if we restrict ourselves to lists of at most two colors. If we constrain the input graph to be a tree, then we show that GM can be solved in time but admits no polynomial-size problem kernel, while CGM can be solved in time and admits a polynomial-size problem kernel.
Cite
@article{arxiv.1908.03870,
title = {Graph Motif Problems Parameterized by Dual},
author = {Guillaume Fertin and Christian Komusiewicz},
journal= {arXiv preprint arXiv:1908.03870},
year = {2019}
}
Comments
A preliminary version of this work appeared in Proceedings of the 27th Annual Symposium on Combinatorial Pattern Matching (CPM '16), volume 54 of LIPIcs, pages 7:1--7:12. This version contains all missing proofs and several further improvements