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On Independent Sets and Bicliques in Graphs
"... Bicliques of graphs have been studied extensively, partially motivated by the large number of applications. One of the main algorithmic interests is in designing algorithms to enumerate all maximal bicliques of a (bipartite) graph. Polynomial-time reductions have been used explicitly or implicitly t ..."
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Bicliques of graphs have been studied extensively, partially motivated by the large number of applications. One of the main algorithmic interests is in designing algorithms to enumerate all maximal bicliques of a (bipartite) graph. Polynomial-time reductions have been used explicitly or implicitly to design polynomial delay algorithms to enumerate all maximal bicliques. Based on polynomial-time Turing reductions, various algorithmic problems on (maximal) bicliques can be studied by considering the related problem for (maximal) independent sets. In this line of research, we improve Prisner’s upper bound on the number of maximal bicliques [Combinatorica, 2000] and show that the maximum number of maximal bicliques in a graph on n vertices is exactly 3 n/3 (up to a polynomial factor). The main results of this paper are O(1.3642 n) time algorithms to compute the number of maximal independent sets and maximal bicliques in a graph.
Computing #2-SAT of Grids, Grid-Cylinders and Grid-Tori Boolean Formulas
"... We present an adaptation of transfer matrix method for signed grids, grid-cylinders and grid-tori. We use this adaptation to count the number of satisfying assignments of Boolean Formulas in 2-CNF whose corresponding associated graph has such grid topologies. 1 ..."
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We present an adaptation of transfer matrix method for signed grids, grid-cylinders and grid-tori. We use this adaptation to count the number of satisfying assignments of Boolean Formulas in 2-CNF whose corresponding associated graph has such grid topologies. 1
An exact exponential time algorithm for counting bipartite cliques ∗
"... We present a simple exact algorithm for counting bicliques of given size in a bipartite graph on n vertices. We achieve running time of O(1.2491 n), improving upon known exact algorithms for finding and counting bipartite cliques. ..."
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We present a simple exact algorithm for counting bicliques of given size in a bipartite graph on n vertices. We achieve running time of O(1.2491 n), improving upon known exact algorithms for finding and counting bipartite cliques.

