License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ESA.2023.100
URN: urn:nbn:de:0030-drops-187536
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2023/18753/
Verbitsky, Oleg ;
Zhukovskii, Maksim
Canonization of a Random Graph by Two Matrix-Vector Multiplications
Abstract
We show that a canonical labeling of a random n-vertex graph can be obtained by assigning to each vertex x the triple (w₁(x),w₂(x),w₃(x)), where w_k(x) is the number of walks of length k starting from x. This takes time ?(n²), where n² is the input size, by using just two matrix-vector multiplications. The linear-time canonization of a random graph is the classical result of Babai, Erdős, and Selkow. For this purpose they use the well-known combinatorial color refinement procedure, and we make a comparative analysis of the two algorithmic approaches.
BibTeX - Entry
@InProceedings{verbitsky_et_al:LIPIcs.ESA.2023.100,
author = {Verbitsky, Oleg and Zhukovskii, Maksim},
title = {{Canonization of a Random Graph by Two Matrix-Vector Multiplications}},
booktitle = {31st Annual European Symposium on Algorithms (ESA 2023)},
pages = {100:1--100:13},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-295-2},
ISSN = {1868-8969},
year = {2023},
volume = {274},
editor = {G{\o}rtz, Inge Li and Farach-Colton, Martin and Puglisi, Simon J. and Herman, Grzegorz},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2023/18753},
URN = {urn:nbn:de:0030-drops-187536},
doi = {10.4230/LIPIcs.ESA.2023.100},
annote = {Keywords: Graph Isomorphism, canonical labeling, random graphs, walk matrix, color refinement, linear time}
}
Keywords: |
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Graph Isomorphism, canonical labeling, random graphs, walk matrix, color refinement, linear time |
Collection: |
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31st Annual European Symposium on Algorithms (ESA 2023) |
Issue Date: |
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2023 |
Date of publication: |
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30.08.2023 |