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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://repozitorij.uni-lj.si/IzpisGradiva.php?id=189102"><dc:title>Improved exact algorithm for finding a maximum exploratory equivalent partition</dc:title><dc:creator>Sikošek,	Lovro	(Avtor)
	</dc:creator><dc:creator>Čibej,	Uroš	(Avtor)
	</dc:creator><dc:creator>Mihelič,	Jurij	(Avtor)
	</dc:creator><dc:creator>Fürst,	Luka	(Avtor)
	</dc:creator><dc:subject>graph theory</dc:subject><dc:subject>exploratory equivalence</dc:subject><dc:subject>symmetry</dc:subject><dc:subject>automorphism</dc:subject><dc:subject>isomorphism</dc:subject><dc:subject>NP-hard</dc:subject><dc:subject>computational group theory</dc:subject><dc:description>An exploratory equivalent partition (EE partition) of a graph G with nontrivial automorphisms is a partition of its vertex set that can be directly translated into a set of constraints to speed up the search for occurrences of G in an arbitrary host graph. The maximum EE partition problem is to find an EE partition leading to the greatest speedup. However, this problem is NP-hard and the naïve algorithm is only practicable for small symmetry-rich graphs. In this paper, we propose a series of improvements based on computational group theory that vastly increase the algorithm’s range of practicability. For example, the improved algorithm spends less time on the 10-hypercube graph (1024 vertices, 5120 edges, ≈3.7 × 10$^9$ automorphisms) than the naïve algorithm does on the 4-hypercube graph (16 vertices, 32 edges, 384 automorphisms). We prove that all improvements maintain the algorithm’s correctness and confirm their contribution to the speed of execution through extensive experimentation.</dc:description><dc:date>2026</dc:date><dc:date>2026-10-01 12:08:37</dc:date><dc:type>Članek v reviji</dc:type><dc:identifier>189102</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
