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        <identifier>oai:drops-oai.dagstuhl.de:18542</identifier>
        <datestamp>2024-03-06T11:02:04Z</datestamp>
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          <dc:title>Recognizing H-Graphs - Beyond Circular-Arc Graphs</dc:title>
          <dc:creator>Ağaoğlu Çağırıcı, Deniz</dc:creator>
          <dc:creator>Çağırıcı, Onur</dc:creator>
          <dc:creator>Derbisz, Jan</dc:creator>
          <dc:creator>Hartmann, Tim A.</dc:creator>
          <dc:creator>Hliněný, Petr</dc:creator>
          <dc:creator>Kratochvíl, Jan</dc:creator>
          <dc:creator>Krawczyk, Tomasz</dc:creator>
          <dc:creator>Zeman, Peter</dc:creator>
          <dc:subject>H-graphs</dc:subject>
          <dc:subject>Intersection Graphs</dc:subject>
          <dc:subject>Helly Property</dc:subject>
          <dc:description>In 1992 Biró, Hujter and Tuza introduced, for every fixed connected graph H, the class of H-graphs, defined as the intersection graphs of connected subgraphs of some subdivision of H. Such classes of graphs are related to many known graph classes: for example, K₂-graphs coincide with interval graphs, K₃-graphs with circular-arc graphs, the union of T-graphs, where T ranges over all trees, coincides with chordal graphs. Recently, quite a lot of research has been devoted to understanding the tractability border for various computational problems, such as recognition or isomorphism testing, in classes of H-graphs for different graphs H.&#13;
In this work we undertake this research topic, focusing on the recognition problem. Chaplick, Töpfer, Voborník, and Zeman showed an XP-algorithm testing whether a given graph is a T-graph, where the parameter is the size of the tree T. In particular, for every fixed tree T the recognition of T-graphs can be solved in polynomial time. Tucker showed a polynomial time algorithm recognizing K₃-graphs (circular-arc graphs). On the other hand, Chaplick et al. showed also that for every fixed graph H containing two distinct cycles sharing an edge, the recognition of H-graphs is NP-hard.&#13;
The main two results of this work narrow the gap between the NP-hard and 𝖯 cases of H-graph recognition. First, we show that the recognition of H-graphs is NP-hard when H contains two distinct cycles. On the other hand, we show a polynomial-time algorithm recognizing L-graphs, where L is a graph containing a cycle and an edge attached to it (which we call lollipop graphs). Our work leaves open the recognition problems of M-graphs for every unicyclic graph M different from a cycle and a lollipop.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Deniz Ağaoğlu Çağırıcı and Onur Çağırıcı and Jan Derbisz and Tim A. Hartmann and Petr Hliněný and Jan Kratochvíl and Tomasz Krawczyk and Peter Zeman</dc:contributor>
          <dc:date>2023</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 272, 48th International Symposium on Mathematical Foundations of Computer Science (MFCS 2023)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
          <dc:type>doc-type:ResearchArticle</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.MFCS.2023.8</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-185420</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.MFCS.2023.8</dc:identifier>
          <dc:language>eng</dc:language>
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