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Information Processing Letters
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Information Processing Letters
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Exact exponential-time algorithms for finding bicliques

descriptionPublicationkeyboard_double_arrow_right Article 01 Dec 2010 English Publisher:Elsevier BVJournal:Information Processing Letters, volume 111, pages 64-67 (issn: 0020-0190, Copyright policy )
Authors: Binkele-Raible, Daniel; Fernau, Henning; Gaspers, Serge; Liedloff, Mathieu;

doi: 10.1016/j.ipl.2010.10.020

Exact exponential-time algorithms for finding bicliques

Abstract

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Keywords

graph algorithms, bicliques, Vertex subsets with special properties (dominating sets, independent sets, cliques, etc.), exact exponential-time algorithms, Graph algorithms (graph-theoretic aspects), Analysis of algorithms, NP-hard problem, complete bipartite subgraphs

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 7
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Top 10%
Average
bronze