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        <datestamp>2025-10-02T12:19:19Z</datestamp>
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          <dc:title>Evaluating First-Order Formulas in Structured Graphs (Invited Talk)</dc:title>
          <dc:creator>Toruńczyk, Szymon</dc:creator>
          <dc:subject>Finite model theory</dc:subject>
          <dc:subject>first-order model checking</dc:subject>
          <dc:subject>graph parameters</dc:subject>
          <dc:description>A central problem in database theory concerns the complexity of the query evaluation problem, also called the model-checking problem in finite model theory: the problem of evaluating a given formula in a given structure. Here, I will focus on formulas of first-order logic, and the data complexity (or parameterized complexity) of their evaluation. Leveraging tools from structural graph theory, I will assume that the input structure is a graph which comes from a fixed class of well-structured graphs, such as the class of planar graphs, classes of bounded treewidth or clique-width, or much more general "tame" graph classes, such as the nowhere dense graph classes introduced by Ossona de Mendez and Nešetřil, or classes of bounded twin-width studied by Bonnet, Thomassé, and coauthors.&#13;
I will survey the recent progress in this area, which connects tools from structural graph theory, from model theory - such as stability and dependence - and from statistical learning theory and computational geometry - such as VC-dimension and ε-nets.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Szymon Toruńczyk</dc:contributor>
          <dc:date>2025</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 328, 28th International Conference on Database Theory (ICDT 2025)</dc:relation>
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          <dc:identifier>doi:10.4230/LIPIcs.ICDT.2025.3</dc:identifier>
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          <dc:language>eng</dc:language>
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