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        <identifier>oai:drops-oai.dagstuhl.de:24511</identifier>
        <datestamp>2025-12-16T14:00:11Z</datestamp>
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          <dc:title>Edge Clique Partition and Cover Beyond Independence</dc:title>
          <dc:creator>Fomin, Fedor V.</dc:creator>
          <dc:creator>Golovach, Petr A.</dc:creator>
          <dc:creator>Sagunov, Danil</dc:creator>
          <dc:creator>Simonov, Kirill</dc:creator>
          <dc:subject>edge clique partition</dc:subject>
          <dc:subject>edge clique cover</dc:subject>
          <dc:subject>independence number</dc:subject>
          <dc:subject>parameterized complexity</dc:subject>
          <dc:subject>above guarantee</dc:subject>
          <dc:description>Covering and partitioning the edges of a graph into cliques are classical problems at the intersection of combinatorial optimization and graph theory, having been studied through a range of algorithmic and complexity-theoretic lenses. Despite the well-known fixed-parameter tractability of these problems when parameterized by the total number of cliques, such a parameterization often fails to be meaningful for sparse graphs. In many real-world instances, on the other hand, the minimum number of cliques in an edge cover or partition can be very close to the size of a maximum independent set α(G). &#13;
Motivated by this observation, we investigate above-α parameterizations of the edge clique cover and partition problems. Concretely, we introduce and study Edge Clique Cover Above Independent Set (ECC/α) and Edge Clique Partition Above Independent Set (ECP/α), where the goal is to cover or partition all edges of a graph using at most α(G) + k cliques, and k is the parameter. Our main results reveal a distinct complexity landscape for the two variants. We show that ECP/α is fixed-parameter tractable, whereas ECC/α is NP-complete for all k ≥ 2, yet can be solved in polynomial time for k ∈ {0,1}. These findings highlight intriguing differences between the two problems when viewed through the lens of parameterization above a natural lower bound.&#13;
Finally, we demonstrate that ECC/α becomes fixed-parameter tractable when parameterized by k + ω(G), where ω(G) is the size of a maximum clique of the graph G. This result is particularly relevant for sparse graphs, in which ω is typically small. For H-minor free graphs, we design a subexponential algorithm of running time f(H)^√k ⋅ n^𝒪(1).</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Fedor V. Fomin and Petr A. Golovach and Danil Sagunov and Kirill Simonov</dc:contributor>
          <dc:date>2025</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 351, 33rd Annual European Symposium on Algorithms (ESA 2025)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ESA.2025.43</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-245113</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ESA.2025.43</dc:identifier>
          <dc:language>eng</dc:language>
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