Exact exponential-time algorithms for finding bicliques
Information Processing Letters
An exact exponential time algorithm for counting bipartite cliques
Information Processing Letters
Clique-Colouring and biclique-colouring unichord-free graphs
LATIN'12 Proceedings of the 10th Latin American international conference on Theoretical Informatics
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Bicliques of graphs have been studied extensively, partially motivated by the large number of applications. In this paper we improve Prisner’s upper bound on the number of maximal bicliques (Combinatorica, 20, 109–117, 2000) and show that the maximum number of maximal bicliques in a graph on n vertices is Θ(3 n/3). Our major contribution is an exact exponential-time algorithm. This branching algorithm computes the number of distinct maximal independent sets in a graph in time O(1.3642 n ), where n is the number of vertices of the input graph. We use this counting algorithm and previously known algorithms for various other problems related to independent sets to derive algorithms for problems related to bicliques via polynomial-time reductions.