Proceedings of the Forty-Seventh Annual ACM Symposium on Theory of Computing 2015
DOI: 10.1145/2746539.2746617
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Faster Canonical Forms for Primitive Coherent Configurations

Abstract: Coherent configurations (CCs) are highly regular colorings of the set of ordered pairs of a "vertex set"; each color represents a "constituent digraph." CCs arise in the study of permutation groups, combinatorial structures such as partially balanced designs, and the analysis of algorithms; their history goes back to Schur in the 1930s. A CC is primitive (PCC) if all its constituent digraphs are connected.We address the problem of classifying PCCs with large automorphism groups. This project was started in Bab… Show more

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Cited by 16 publications
(13 citation statements)
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“…The first is about coherent configurations (see [Ba81,SuW,Ba15] for the definition and basic properties). Let X = (V ; R) be a homogeneous coherent configuration with n vertices.…”
Section: Discussionmentioning
confidence: 99%
“…The first is about coherent configurations (see [Ba81,SuW,Ba15] for the definition and basic properties). Let X = (V ; R) be a homogeneous coherent configuration with n vertices.…”
Section: Discussionmentioning
confidence: 99%
“…As a result, isomorphism for graphs of genus at most g can be tested in time n O((log g) c ) . The definition of t-CR-bounded graphs builds on the Color Refinement algorithm, a simple combinatorial algorithm that iteratively refines a vertex-coloring in an isomorphism-invariant manner and which forms a fundamental algorithmic tool in the context of the Graph Isomorphism Problem (see, e.g., [5,8,9,25,26,37]). We start by formally defining the outcome of the Color Refinement algorithm in the next subsection.…”
Section: Aggregating Local Certificatesmentioning
confidence: 99%
“…In 1981 Babai [2] defined the distinguishing number of a coherent configuration and used it to establish the aforementioned bound for the minimal base size. This notion was later also used in a recent paper by Sun and Wilmes [42]. In the present paper we use a different concept with the same name.…”
Section: Introductionmentioning
confidence: 97%