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        <identifier>oai:drops-oai.dagstuhl.de:8125</identifier>
        <datestamp>2024-03-06T10:40:59Z</datestamp>
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          <dc:title>Being Even Slightly Shallow Makes Life Hard</dc:title>
          <dc:creator>Muzi, Irene</dc:creator>
          <dc:creator>O'Brien, Michael P.</dc:creator>
          <dc:creator>Reidl, Felix</dc:creator>
          <dc:creator>Sullivan, Blair D.</dc:creator>
          <dc:subject>Topological minors</dc:subject>
          <dc:subject>NP Completeness</dc:subject>
          <dc:subject>Treewidth</dc:subject>
          <dc:subject>ETH</dc:subject>
          <dc:subject>FPT algorithms</dc:subject>
          <dc:description>We study the computational complexity of identifying dense substructures, namely r/2-shallow topological minors and r-subdivisions. Of particular interest is the case r = 1, when these substructures correspond to very localized relaxations of subgraphs. Since Densest Subgraph can be solved in polynomial time, we ask whether these slight relaxations also admit efficient algorithms.&#13;
In the following, we provide a negative answer: Dense r/2-Shallow Topological Minor and Dense r-Subdivsion are already NP-hard for r = 1 in very sparse graphs. Further, they do not admit algorithms with running time 2^(o(tw^2)) n^O(1) when parameterized by the treewidth of the input graph for r &gt; 2 unless ETH fails.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Irene Muzi and Michael P. O'Brien and Felix Reidl and Blair D. Sullivan</dc:contributor>
          <dc:date>2017</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 83, 42nd International Symposium on Mathematical Foundations of Computer Science (MFCS 2017)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.MFCS.2017.79</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-81257</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.MFCS.2017.79</dc:identifier>
          <dc:language>eng</dc:language>
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