On the Parallel Parameterized Complexity of the Graph Isomorphism Problem
Abstract
In this paper, we study the parallel and the space complexity of the graph isomorphism problem (\GI{}) for several parameterizations. Let be a finite set of graphs where for all and for some constant . Let be an -free graph class i.e., none of the graphs contain any as an induced subgraph. We show that \GI{} parameterized by vertex deletion distance to is in a parameterized version of , denoted -, provided the colored graph isomorphism problem for graphs in is in . From this, we deduce that \GI{} parameterized by the vertex deletion distance to cographs is in -. The parallel parameterized complexity of \GI{} parameterized by the size of a feedback vertex set remains an open problem. Towards this direction we show that the graph isomorphism problem is in - when parameterized by vertex cover or by twin-cover. Let be a graph class such that recognizing graphs from and the colored version of \GI{} for is in logspace (). We show that \GI{} for bounded vertex deletion distance to is in . From this, we obtain logspace algorithms for \GI{} for graphs with bounded vertex deletion distance to interval graphs and graphs with bounded vertex deletion distance to cographs.
Cite
@article{arxiv.1711.08885,
title = {On the Parallel Parameterized Complexity of the Graph Isomorphism Problem},
author = {Bireswar Das and Murali Krishna Enduri and I. Vinod Reddy},
journal= {arXiv preprint arXiv:1711.08885},
year = {2017}
}