Parameterized Complexity of Biclique Contraction and Balanced Biclique Contraction

Fuente: arXiv
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Main Authors: Krithika, R., Malu, V. K. Kutty, Sharma, Roohani, Tale, Prafullkumar
Format: Preprint
Published: 2023
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author Krithika, R.
Malu, V. K. Kutty
Sharma, Roohani
Tale, Prafullkumar
author_facet Krithika, R.
Malu, V. K. Kutty
Sharma, Roohani
Tale, Prafullkumar
contents In this work, we initiate the complexity study of Biclique Contraction and Balanced Biclique Contraction. In these problems, given as input a graph G and an integer k, the objective is to determine whether one can contract at most k edges in G to obtain a biclique and a balanced biclique, respectively. We first prove that these problems are NP-complete even when the input graph is bipartite. Next, we study the parameterized complexity of these problems and show that they admit single exponential-time FPT algorithms when parameterized by the number k of edge contractions. Then, we show that Balanced Biclique Contraction admits a quadratic vertex kernel while Biclique Contraction does not admit any polynomial compression (or kernel) under standard complexity-theoretic assumptions. We also give faster FPT algorithms for contraction to restricted bicliques.
format Preprint
id arxiv_https___arxiv_org_abs_2307_10607
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Parameterized Complexity of Biclique Contraction and Balanced Biclique Contraction
Krithika, R.
Malu, V. K. Kutty
Sharma, Roohani
Tale, Prafullkumar
Data Structures and Algorithms
Computational Complexity
F.2.2
In this work, we initiate the complexity study of Biclique Contraction and Balanced Biclique Contraction. In these problems, given as input a graph G and an integer k, the objective is to determine whether one can contract at most k edges in G to obtain a biclique and a balanced biclique, respectively. We first prove that these problems are NP-complete even when the input graph is bipartite. Next, we study the parameterized complexity of these problems and show that they admit single exponential-time FPT algorithms when parameterized by the number k of edge contractions. Then, we show that Balanced Biclique Contraction admits a quadratic vertex kernel while Biclique Contraction does not admit any polynomial compression (or kernel) under standard complexity-theoretic assumptions. We also give faster FPT algorithms for contraction to restricted bicliques.
title Parameterized Complexity of Biclique Contraction and Balanced Biclique Contraction
topic Data Structures and Algorithms
Computational Complexity
F.2.2
url https://arxiv.org/abs/2307.10607