A Classification of Long-Refinement Graphs for Colour Refinement
Sandra Kiefer, T. Devini de Mel

TL;DR
This paper characterizes graphs that require the maximum number of Colour Refinement iterations, providing a complete classification for low degrees and insights into their structure, with implications for graph isomorphism testing.
Contribution
It offers a full classification of long-refinement graphs with degrees up to 4, using a reverse-engineering approach and structural analysis, filling a key gap in understanding Colour Refinement complexity.
Findings
Long-refinement graphs with degrees 2 and 3 are fully characterized.
All low-degree long-refinement graphs can be represented as compact strings.
Graphs distinguished only in the last iteration of Colour Refinement do not exist.
Abstract
The Colour Refinement algorithm is a classical procedure to detect symmetries in graphs, whose most prominent application is in graph-isomorphism tests. The algorithm and its generalisation, the Weisfeiler-Leman algorithm, evaluate local information to compute a colouring for the vertices in an iterative fashion. Different final colours of two vertices certify that no isomorphism can map one onto the other. The number of iterations that the algorithm takes to terminate is its central complexity parameter. For a long time, it was open whether graphs that take the maximum theoretically possible number of Colour Refinement iterations actually exist. Starting from an exhaustive search on graphs of low degrees, Kiefer and McKay proved the existence of infinite families of such long-refinement graphs with degrees 2 and 3, thereby showing that the trivial upper bound on the iteration number of…
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Taxonomy
TopicsData Visualization and Analytics · Advanced Graph Theory Research · Quasicrystal Structures and Properties
