Verbitsky, O. orcid.org/0000-0002-9524-1901 and Zhukovskii, M. orcid.org/0000-0001-8763-9533 (2025) Canonical labeling of sparse random graphs. In: Beyersdorff, O., Pilipczuk, M., Pimentel, E. and Thắng, N.K., (eds.) Leibniz International Proceedings in Informatics Lipics. 42nd International Symposium on Theoretical Aspects of Computer Science (STACS 2025), 04-07 Mar 2025, Jena, Germany. Leibniz International Proceedings in Informatics (LIPIcs), 327. ISSN: 1868-8969.
Abstract
We show that if p = O(1/n), then the Erdős-Rényi random graph G(n,p) with high probability admits a canonical labeling computable in time O(nlog n). Combined with the previous results on the canonization of random graphs, this implies that G(n,p) with high probability admits a polynomial-time canonical labeling whatever the edge probability function p. Our algorithm combines the standard color refinement routine with simple post-processing based on the classical linear-time tree canonization. Noteworthy, our analysis of how well color refinement performs in this setting allows us to complete the description of the automorphism group of the 2-core of G(n,p).
Metadata
| Item Type: | Proceedings Paper |
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| Authors/Creators: |
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| Editors: |
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| Copyright, Publisher and Additional Information: | © 2025 Oleg Verbitsky and Maksim Zhukovskii; licensed under Creative Commons License CC-BY 4.0 - https://creativecommons.org/licenses/by/4.0/ |
| Keywords: | Graph isomorphism; random graphs; canonical labeling; color refinement |
| Dates: |
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| Institution: | The University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
| Date Deposited: | 06 Feb 2026 10:39 |
| Last Modified: | 06 Feb 2026 10:40 |
| Status: | Published |
| Series Name: | Leibniz International Proceedings in Informatics (LIPIcs) |
| Refereed: | Yes |
| Identification Number: | 10.4230/LIPIcs.STACS.2025.75 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:237614 |
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Filename: LIPIcs.STACS.2025.75.pdf
Licence: CC-BY 4.0

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