English

On the Parallel Parameterized Complexity of the Graph Isomorphism Problem

Computational Complexity 2017-12-04 v2 Data Structures and Algorithms Combinatorics

Abstract

In this paper, we study the parallel and the space complexity of the graph isomorphism problem (\GI{}) for several parameterizations. Let H={H1,H2,,Hl}\mathcal{H}=\{H_1,H_2,\cdots,H_l\} be a finite set of graphs where V(Hi)d|V(H_i)|\leq d for all ii and for some constant dd. Let G\mathcal{G} be an H\mathcal{H}-free graph class i.e., none of the graphs GGG\in \mathcal{G} contain any HHH \in \mathcal{H} as an induced subgraph. We show that \GI{} parameterized by vertex deletion distance to G\mathcal{G} is in a parameterized version of \AC1\AC^1, denoted \PL\PL-\AC1\AC^1, provided the colored graph isomorphism problem for graphs in G\mathcal{G} is in \AC1\AC^1. From this, we deduce that \GI{} parameterized by the vertex deletion distance to cographs is in \PL\PL-\AC1\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\PL-\TC0\TC^0 when parameterized by vertex cover or by twin-cover. Let G\mathcal{G}' be a graph class such that recognizing graphs from G\mathcal{G}' and the colored version of \GI{} for G\mathcal{G}' is in logspace (\L\L). We show that \GI{} for bounded vertex deletion distance to G\mathcal{G}' is in \L\L. 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.

Keywords

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}
}
R2 v1 2026-06-22T22:55:40.329Z