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        <datestamp>2024-03-06T10:40:58Z</datestamp>
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          <dc:title>Recognizing Graphs Close to Bipartite Graphs</dc:title>
          <dc:creator>Bonamy, Marthe</dc:creator>
          <dc:creator>Dabrowski, Konrad K.</dc:creator>
          <dc:creator>Feghali, Carl</dc:creator>
          <dc:creator>Johnson, Matthew</dc:creator>
          <dc:creator>Paulusma, Daniël</dc:creator>
          <dc:subject>degenerate graphs</dc:subject>
          <dc:subject>near-bipartite graphs</dc:subject>
          <dc:subject>reconfiguration graphs</dc:subject>
          <dc:description>We continue research into a well-studied family of problems that ask if the vertices of a graph can be partitioned into sets A and B, where A is an independent set and B induces a graph from some specified graph class G.  We let G be the class of k-degenerate graphs.  The problem is known to be polynomial-time solvable if k=0 (bipartite graphs) and NP-complete if k=1 (near-bipartite graphs) even for graphs of diameter 4, as shown by Yang and Yuan, who also proved polynomial-time solvability for graphs of diameter 2. We show that recognizing near-bipartite graphs of diameter 3 is NP-complete resolving their open problem. To answer another open problem, we consider graphs of maximum degree D on n vertices. We show how to find A and B in O(n) time for k=1 and D=3, and in O(n^2) time for k &gt;= 2 and D &gt;= 4.  These results also provide an algorithmic version of a result of Catlin [JCTB, 1979] and enable us to complete the complexity classification of another problem: finding a path in the vertex colouring reconfiguration graph between two given k-colourings of a graph of bounded maximum degree.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Marthe Bonamy and Konrad K. Dabrowski and Carl Feghali and Matthew Johnson and Daniël Paulusma</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.2017.70</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-80740</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.MFCS.2017.70</dc:identifier>
          <dc:language>eng</dc:language>
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