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Computational complexity of reconstruction and isomorphism testing for designs and line graphs
Authors:Michael Huber
Affiliation:Wilhelm-Schickard-Institute for Computer Science, University of Tuebingen, Sand 13, D-72076 Tuebingen, Germany
Abstract:
Graphs with high symmetry or regularity are the main source for experimentally hard instances of the notoriously difficult graph isomorphism problem. In this paper, we study the computational complexity of isomorphism testing for line graphs of t-(v,k,λ) designs. For this class of highly regular graphs, we obtain a worst-case running time of O(vlogv+O(1)) for bounded parameters t, k, λ.In a first step, our approach makes use of the Babai-Luks algorithm to compute canonical forms of t-designs. In a second step, we show that t-designs can be reconstructed from their line graphs in polynomial-time. The first is algebraic in nature, the second purely combinatorial. For both, profound structural knowledge in design theory is required. Our results extend earlier complexity results about isomorphism testing of graphs generated from Steiner triple systems and block designs.
Keywords:Computational complexity   Reconstructibility   Isomorphism testing   Combinatorial design   Line graph   Graph isomorphism problem   Hypergraph isomorphism problem
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