Colour refinement algorithm
In graph theory and theoretical computer science, the colour refinement algorithm also known as the naive vertex classification, or the 1-dimensional version of the Weisfeiler-Leman algorithm, is a routine used for testing whether two graphs are isomorphic or not.[1]
History
Description
We define a sequence of vertex colourings defined as follows:
- is the initial colouring. If the graph is unlabeled, the initial colouring assigns a trivial color to each vertex . If the graph is labeled, is the label of vertex .
- For all vertices , we set . In other words, the new color of the vertex is the pair formed from the previous color and the multiset of the colors of its neighbors.
This algorithm keeps refining the current colouring. At some point, before n steps, where n is the number of vertices, it stabilises: does not change anymore when t increases. This final colouring is called the stable colouring.
Expressivity
This algorithm does not distinguish a cycle of length 6 from a pair of triangles (example V.1 in [2]).
Complexity
The stable colouring is computable in O((n+m)log n) where n is the number of vertices and m the number of edges.[3] This complexity has been proven to be optimal for some class of graphs.[4]
References
- Grohe, Martin; Kersting, Kristian; Mladenov, Martin; Schweitzer, Pascal (2021). "Color Refinement and Its Applications". An Introduction to Lifted Probabilistic Inference. doi:10.7551/mitpress/10548.003.0023. ISBN 9780262365598. S2CID 59069015.
- Grohe, Martin (2021-06-29). "The Logic of Graph Neural Networks". 2021 36th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS). LICS '21. New York, NY, USA: Association for Computing Machinery. pp. 1–17. arXiv:2104.14624. doi:10.1109/LICS52264.2021.9470677. ISBN 978-1-6654-4895-6. S2CID 233476550.
- Cardon, A.; Crochemore, M. (1982-07-01). "Partitioning a graph in O(¦A¦log2¦V¦)". Theoretical Computer Science. 19 (1): 85–98. doi:10.1016/0304-3975(82)90016-0. ISSN 0304-3975.
- Berkholz, Christoph; Bonsma, Paul; Grohe, Martin (2017-05-01). "Tight Lower and Upper Bounds for the Complexity of Canonical Colour Refinement". Theory of Computing Systems. 60 (4): 581–614. doi:10.1007/s00224-016-9686-0. ISSN 1433-0490. S2CID 12616856.