Graph Isomorphism Parameterized by Elimination Distance to Bounded Degree
Jannis Bulian, Anuj Dawar

TL;DR
This paper introduces a new parameter called elimination distance to bounded degree for graphs, showing that graph isomorphism can be efficiently solved when parameterized by this measure, extending previous fixed-parameter tractability results.
Contribution
It generalizes deletion distance to triviality by defining elimination distance to bounded degree, proving that graph isomorphism is fixed-parameter tractable with respect to this new parameter.
Findings
Graph canonisation is FPT when parameterized by elimination distance to bounded degree.
Extends fixed-parameter tractability results for graph isomorphism.
Provides a new framework for analyzing graph isomorphism complexity.
Abstract
A commonly studied means of parameterizing graph problems is the deletion distance from triviality (Guo et al. 2004), which counts vertices that need to be deleted from a graph to place it in some class for which efficient algorithms are known. In the context of graph isomorphism, we define triviality to mean a graph with maximum degree bounded by a constant, as such graph classes admit polynomial-time isomorphism tests. We generalise deletion distance to a measure we call elimination distance to triviality, based on elimination trees or tree-depth decompositions. We establish that graph canonisation, and thus graph isomorphism, is FPT when parameterized by elimination distance to bounded degree, extending results of Bouland et al. (2012).
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Taxonomy
TopicsAdvanced Graph Theory Research · Complexity and Algorithms in Graphs · Optimization and Search Problems
