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Counting H-Colorings of Partial k-Trees

Counting \(H-\)colorings of partial \(k-\)trees
descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article 01 Jan 2001Publisher:Springer Berlin HeidelbergJournal:Theoretical Computer Science, volume 281, pages 291-309 (issn: 0304-3975, Copyright policy )
Authors: Maria Serna; Josep Díaz; Dimitrios M. Thilikos;

doi: 10.1007/3-540-44679-6_33 , 10.1016/s0304-3975(02)00017-8

Counting H-Colorings of Partial k-Trees

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Keywords

graph homomorphism, counting problems, Treewidth, Graph theory (including graph drawing) in computer science, Counting problems, treewidth, Graph homomorphism, Theoretical Computer Science, Computer Science(all)

  • BIP!
    Impact byBIP!
    citations
    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).
    		 31
    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.
    		 Top 10%
    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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citations
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!
31
Top 10%
Top 10%
Average
hybrid