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        <datestamp>2024-03-06T10:57:55Z</datestamp>
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          <dc:title>Weisfeiler-Leman Invariant Promise Valued CSPs</dc:title>
          <dc:creator>Barto, Libor</dc:creator>
          <dc:creator>Butti, Silvia</dc:creator>
          <dc:subject>Promise Valued Constraint Satisfaction Problem</dc:subject>
          <dc:subject>Linear programming relaxation</dc:subject>
          <dc:subject>Distributed algorithms</dc:subject>
          <dc:subject>Symmetric fractional polymorphisms</dc:subject>
          <dc:subject>Color refinement algorithm</dc:subject>
          <dc:description>In a recent line of work, Butti and Dalmau have shown that a fixed-template Constraint Satisfaction Problem is solvable by a certain natural linear programming relaxation (equivalent to the basic linear programming relaxation) if and only if it is solvable on a certain distributed network, and this happens if and only if its set of Yes instances is closed under Weisfeiler-Leman equivalence. We generalize this result to the much broader framework of fixed-template Promise Valued Constraint Satisfaction Problems. Moreover, we show that two commonly used linear programming relaxations are no longer equivalent in this broader framework.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Libor Barto and Silvia Butti</dc:contributor>
          <dc:date>2022</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 235, 28th International Conference on Principles and Practice of Constraint Programming (CP 2022)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.CP.2022.4</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-166332</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CP.2022.4</dc:identifier>
          <dc:language>eng</dc:language>
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