2008Unpublished venueRequires access

Isomorhism of Hypergraphs of Low Rank in Moderately Exponential Time

László Babai, Paolo Codenotti

Open publisher page 34 citations

Abstract

We give an algorithm to decide isomorphism of hypergraphs of rank k in time exp (Otilde(k2radicn)), where n is the number of vertices. (The rank is the maximum size of edges; the tilde refers to a polylogarithmic factor.) The case of bounded k answers a 24-year-old question and removes an obstacle to improving the worst case-bound for Graph Isomorphism testing. The best previously known bound, even for k = 3, was Cn(Luks 1999).

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We give an algorithm to decide isomorphism of hypergraphs of rank k in time exp (Otilde(k2radicn)), where n is the number of vertices. (The rank is the maximum size of edges; the tilde refers to a polylogarithmic factor.) The case of bounded k answers a 24-year-old question and removes an obstacle to improving the worst case-bound for Graph Isomorphism testing. The best previously known bound, even for k = 3, was Cn(Luks 1999).

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Available abstract

We give an algorithm to decide isomorphism of hypergraphs of rank k in time exp (Otilde(k2radicn)), where n is the number of vertices. (The rank is the maximum size of edges; the tilde refers to a polylogarithmic factor.) The case of bounded k answers a 24-year-old question and removes an obstacle to improving the worst case-bound for Graph Isomorphism testing. The best previously known bound, even for k = 3, was Cn(Luks 1999).

Key concepts: Combinatorics, Rank (graph theory), Isomorphism (crystallography), Bounded function, Upper and lower bounds, Mathematics, Graph, Discrete mathematics

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