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        <identifier>oai:drops-oai.dagstuhl.de:27282</identifier>
        <datestamp>2026-08-25T13:18:20Z</datestamp>
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          <dc:title>Towards the Recognition of Oriented Interval Graphs</dc:title>
          <dc:creator>Bachmann, Lukas P.</dc:creator>
          <dc:creator>Fiala, Jiří</dc:creator>
          <dc:creator>Münch, Miriam</dc:creator>
          <dc:creator>Rutter, Ignaz</dc:creator>
          <dc:creator>Stumpf, Peter</dc:creator>
          <dc:creator>Wolff, Alexander</dc:creator>
          <dc:subject>Interval graphs</dc:subject>
          <dc:subject>mixed graphs</dc:subject>
          <dc:subject>oriented interval graphs</dc:subject>
          <dc:subject>recognition</dc:subject>
          <dc:description>Oriented interval graphs, a recent generalization of interval graphs introduced by Gutowski et al. [GD 2022], are intersection graphs of intervals, each of which is oriented either left or right. Such a representation defines a mixed intersection graph: overlapping intervals with the same orientation define a (directed) arc; nested intervals (irrespective of the orientations of the intervals) and overlapping intervals of opposite orientations define an (undirected) edge. An oriented interval representation of a mixed graph G can be described combinatorially by the combination of (i) an orientation φ : V(G) → {-1,1} of all intervals, (ii) a clique ordering σ, and (iii) a set E_cont ⊆ E(G) of containment edges, which are represented by nested intervals. The non-trivial dependencies between these three ingredients make the recognition of oriented interval graphs a challenging problem.&#13;
In this paper, we take steps towards a general recognition algorithm by studying how orientation, clique ordering, and containment edges influence and restrict each other. We characterize the orientations that are consistent with a given set of containment edges as well as the clique orderings that are consistent with a given orientation. Based on these characterizations, we give linear-time algorithms for two constrained versions of the recognition problem where, in addition to the mixed input graph G, either the set of containment edges E_cont or the orientation φ is prescribed. This improves a quadratic-time algorithm of Gutowski et al. for the case that all vertices have the same orientation; an assumption that determines both the orientation and the containment edges. In particular, this also solves the recognition problem for oriented proper (or unit) interval graphs.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Lukas P. Bachmann and Jiří Fiala and Miriam Münch and Ignaz Rutter and Peter Stumpf and Alexander Wolff</dc:contributor>
          <dc:date>2026</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 388, 34th Annual European Symposium on Algorithms (ESA 2026)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ESA.2026.146</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-272825</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ESA.2026.146</dc:identifier>
          <dc:language>eng</dc:language>
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