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   	<dc:title>Smoothed analysis for graph isomorphism</dc:title>
   	<dc:creator>Anastos, Michael</dc:creator>
   	<dc:creator>Kwan, Matthew Alan ; https://orcid.org/0000-0002-4003-7567</dc:creator>
   	<dc:creator>Moore, Benjamin</dc:creator>
   	<dc:subject>ddc:000</dc:subject>
   	<dc:description>There is no known polynomial-time algorithm for graph isomorphism testing, but elementary combinatorial “refinement” algorithms seem to be very efficient in practice. Some philosophical justification for this phenomenon is provided by a classical theorem of Babai, Erdős and Selkow: an extremely simple polynomial-time combinatorial algorithm (variously known as “naïve refinement”, “naïve vertex classification”, “colour refinement” or the “1-dimensional Weisfeiler–Leman algorithm”) yields a so-called canonical labelling scheme for “almost all graphs”. More precisely, for a typical outcome of a random graph G(n,1/2), this simple combinatorial algorithm assigns labels to vertices in a way that easily permits isomorphism-testing against any other graph.</dc:description>
   	<dc:publisher>Association for Computing Machinery</dc:publisher>
   	<dc:date>2025</dc:date>
   	<dc:type>info:eu-repo/semantics/conferenceObject</dc:type>
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   	<dc:type>http://purl.org/coar/resource_type/c_5794</dc:type>
   	<dc:identifier>https://research-explorer.ista.ac.at/record/20007</dc:identifier>
   	<dc:identifier>https://research-explorer.ista.ac.at/download/20007/20012</dc:identifier>
   	<dc:source>Anastos M, Kwan MA, Moore B. Smoothed analysis for graph isomorphism. In: &lt;i&gt;Proceedings of the 57th Annual ACM Symposium on Theory of Computing&lt;/i&gt;. Association for Computing Machinery; 2025:2098-2106. doi:&lt;a href=&quot;https://doi.org/10.1145/3717823.3718173&quot;&gt;10.1145/3717823.3718173&lt;/a&gt;</dc:source>
   	<dc:language>eng</dc:language>
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   	<dc:relation>info:eu-repo/semantics/altIdentifier/isbn/9798400715105</dc:relation>
   	<dc:relation>info:eu-repo/semantics/altIdentifier/arxiv/2410.06095</dc:relation>
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