paper

On the Parallel Parameterized Complexity of the Graph Isomorphism Problem

arXiv:1711.08885

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 $\AC^1$, denoted $\PL$-$\AC^1$, provided the colored graph isomorphism problem for graphs in is in $\AC^1$. From this, we deduce that \GI{} parameterized by the vertex deletion distance to cographs is in $\PL$-$\AC^1$. 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 $\PL$-$\TC^0$ 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.

On the Parallel Parameterized Complexity of the Graph Isomorphism Problem · wovepaper