Rank-width is a complexity measure equivalent to the clique-width of undirected graphs and has good algorithmic and structural properties. It is in particular related to the vertex-minor relation. We discuss an extension of the notion of rank-width to all types of graphs - directed or not, with edge colors or not -, named double-struck F-rank-width. We extend most of the results known for the rank-width of undirected graphs to the double-struck F-rank-width of graphs: cubic-time recognition algorithm, characterisation by excluded configurations under vertex-minor and pivot-minor, and algebraic characterisation by graph operations. We also show that the rank-width of undirected graphs is a special case of double-struck F-rank-width. © 2011 Springer-Verlag.
CITATION STYLE
Kanté, M. M., & Rao, M. (2011). double-struck F-rank-width of (edge-colored) graphs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6742 LNCS, pp. 158–173). https://doi.org/10.1007/978-3-642-21493-6_10
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