The Iteration Number of Colour Refinement

05/20/2020
by   Sandra Kiefer, et al.
0

The Colour Refinement procedure and its generalisation to higher dimensions, the Weisfeiler-Leman algorithm, are central subroutines in approaches to the graph isomorphism problem. In an iterative fashion, Colour Refinement computes a colouring of the vertices of its input graph. A trivial upper bound on the iteration number of Colour Refinement on graphs of order n is n-1. We show that this bound is tight. More precisely, we prove via explicit constructions that there are infinitely many graphs G on which Colour Refinement takes |G|-1 iterations to stabilise. Modifying the infinite families that we present, we show that for every natural number n >= 10, there are graphs on n vertices on which Colour Refinement requires at least n-2 iterations to reach stabilisation.

READ FULL TEXT

page 9

page 10

page 17

research
05/08/2019

Walk refinement, walk logic, and the iteration number of the Weisfeiler-Leman algorithm

We show that the 2-dimensional Weisfeiler-Leman algorithm stabilizes n-v...
research
04/03/2022

Combinatorial refinement on circulant graphs

The combinatorial refinement techniques have proven to be an efficient a...
research
01/30/2023

The Iteration Number of the Weisfeiler-Leman Algorithm

We prove new upper and lower bounds on the number of iterations the k-di...
research
06/17/2021

Entrywise limit theorems of eigenvectors and their one-step refinement for sparse random graphs

We establish finite-sample Berry-Esseen theorems for the entrywise limit...
research
03/06/2013

Reasoning about the Value of Decision-Model Refinement: Methods and Application

We investigate the value of extending the completeness of a decision mod...
research
06/21/2019

Multidimensional Dominance Drawings

Let G be a DAG with n vertices and m edges. Two vertices u,v are incompa...
research
06/18/2020

The damage throttling number of a graph

The cop throttling number of a graph, introduced in 2018 by Breen et al....

Please sign up or login with your details

Forgot password? Click here to reset