Publication | Open Access
Graph Isomorphism Parameterized by Elimination Distance to Bounded Degree
30
Citations
14
References
2015
Year
Mathematical ProgrammingEngineeringNetwork AnalysisEducationComputational ComplexityDeletion DistanceStructural Graph TheoryGraph IsomorphismParameterized AlgorithmGomory-chvátal TheoryDiscrete MathematicsCombinatorial OptimizationAlgebraic Graph TheoryComputer ScienceGraph AlgorithmGraph CanonisationTheory Of ComputingGraph TheoryGraph Isomorphism ParameterizedParameterized ComplexityMathematical FoundationsProperty TestingMetric Graph Theory
A commonly studied means of parameterizing graph problems is the deletion distance from triviality (Guo et al., Parameterized and exact computation, Springer, Berlin, pp. 162–173, 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 $$\mathsf {FPT}$$ when parameterized by elimination distance to bounded degree, extending results of Bouland et al. (Parameterized and exact computation, Springer, Berlin, pp. 218–230, 2012).
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