Tight Lower and Upper Bounds for the Complexity of Canonical Colour Refinement

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Abstract

An assignment of colours to the vertices of a graph is stable if any two vertices of the same colour have identically coloured neighbourhoods. The goal of colour refinement is to find a stable colouring that uses a minimum number of colours. This is a widely used subroutine for graph isomorphism testing algorithms, since any automorphism needs to be colour preserving. We give an O((m + n)log n) algorithm for finding a canonical version of such a stable colouring, on graphs with n vertices and m edges. We show that no faster algorithm is possible, under some modest assumptions about the type of algorithm, which captures all known colour refinement algorithms.

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Berkholz, C., Bonsma, P., & Grohe, M. (2017). Tight Lower and Upper Bounds for the Complexity of Canonical Colour Refinement. Theory of Computing Systems, 60(4), 581–614. https://doi.org/10.1007/s00224-016-9686-0

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