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        <datestamp>2024-03-06T10:50:14Z</datestamp>
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          <dc:title>A Dichotomy for Bounded Degree Graph Homomorphisms with Nonnegative Weights</dc:title>
          <dc:creator>Govorov, Artem</dc:creator>
          <dc:creator>Cai, Jin-Yi</dc:creator>
          <dc:creator>Dyer, Martin</dc:creator>
          <dc:subject>Graph homomorphism</dc:subject>
          <dc:subject>Complexity dichotomy</dc:subject>
          <dc:subject>Counting problems</dc:subject>
          <dc:description>We consider the complexity of counting weighted graph homomorphisms defined by a symmetric matrix A. Each symmetric matrix A defines a graph homomorphism function Z_A(⋅), also known as the partition function. Dyer and Greenhill [Martin E. Dyer and Catherine S. Greenhill, 2000] established a complexity dichotomy of Z_A(⋅) for symmetric {0, 1}-matrices A, and they further proved that its #P-hardness part also holds for bounded degree graphs. Bulatov and Grohe [Andrei Bulatov and Martin Grohe, 2005] extended the Dyer-Greenhill dichotomy to nonnegative symmetric matrices A. However, their hardness proof requires graphs of arbitrarily large degree, and whether the bounded degree part of the Dyer-Greenhill dichotomy can be extended has been an open problem for 15 years. We resolve this open problem and prove that for nonnegative symmetric A, either Z_A(G) is in polynomial time for all graphs G, or it is #P-hard for bounded degree (and simple) graphs G. We further extend the complexity dichotomy to include nonnegative vertex weights. Additionally, we prove that the #P-hardness part of the dichotomy by Goldberg et al. [Leslie A. Goldberg et al., 2010] for Z_A(⋅) also holds for simple graphs, where A is any real symmetric matrix.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Artem Govorov and Jin-Yi Cai and Martin Dyer</dc:contributor>
          <dc:date>2020</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 168, 47th International Colloquium on Automata, Languages, and Programming (ICALP 2020)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ICALP.2020.66</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-124733</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2020.66</dc:identifier>
          <dc:language>eng</dc:language>
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