Maximum Weighted Edge Biclique Problem on Bipartite Graphs

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Abstract

For a graph G, a complete bipartite subgraph of G is called a biclique of G. For a weighted graph where each edge a weight the Maximum Weighted Edge Biclique (MWEB) problem is to find a biclique H of G such that is maximum. The decision version of the MWEB problem is known to be NP-complete for bipartite graphs. In this paper, we show that the decision version of the MWEB problem remains NP-complete even if the input graph is a complete bipartite graph. On the positive side, if the weight of each edge is a positive real number in the input graph G, then we show that the MWEB problem is time solvable for bipartite permutation graphs, and time solvable for chain graphs, which is a subclass of bipartite permutation graphs.

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Pandey, A., Sharma, G., & Jain, N. (2020). Maximum Weighted Edge Biclique Problem on Bipartite Graphs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12016 LNCS, pp. 116–128). Springer. https://doi.org/10.1007/978-3-030-39219-2_10

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