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          <dc:title>Parameterized Complexity of Small Weight Automorphisms</dc:title>
          <dc:creator>Arvind, Vikraman</dc:creator>
          <dc:creator>Köbler, Johannes</dc:creator>
          <dc:creator>Kuhnert, Sebastian</dc:creator>
          <dc:creator>Torán, Jacobo</dc:creator>
          <dc:subject>Parameterized algorithms</dc:subject>
          <dc:subject>hypergraph isomorphism.</dc:subject>
          <dc:description>We show that checking if a given hypergraph has an automorphism that moves exactly k vertices is fixed parameter tractable, using k and additionally either the maximum hyperedge size or the maximum color class size as parameters. In particular, it suffices to use k as parameter if the hyperedge size is at most polylogarithmic in the size of the given hypergraph.&#13;
  &#13;
As a building block for our algorithms, we generalize Schweitzer's FPT algorithm [ESA 2011] that, given two graphs on the same vertex set and a parameter k, decides whether there is an isomorphism between the two graphs that moves at most k vertices. We extend this result to hypergraphs, using the maximum hyperedge size as a second parameter.&#13;
  &#13;
Another key component of our algorithm is an orbit-shrinking technique that preserves permutations that move few points and that may be of independent interest. Applying it to a suitable subgroup of the automorphism group allows us to switch from bounded hyperedge size to bounded color classes in the exactly-k case.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Vikraman Arvind and Johannes Köbler and Sebastian Kuhnert and Jacobo Torán</dc:contributor>
          <dc:date>2017</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 66, 34th Symposium on Theoretical Aspects of Computer Science (STACS 2017)</dc:relation>
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          <dc:identifier>doi:10.4230/LIPIcs.STACS.2017.7</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-70278</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.STACS.2017.7</dc:identifier>
          <dc:language>eng</dc:language>
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