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,Finding Cut-Vertices in the Square Roots of a Graph, . asks for the recognition of the squares of graphs in .. In this paper, we answer positively to an open question of [Golovach et al. IWOCA 2016] by showing that the squares of . can be recognized in polynomial time. Our proof is based on new relationships between the decomposition of a graph by cu

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Modern Management of Cancer of the Rectum many disciplines. It has the wonderful property, that, conditioned on being simple, it is a uniform random graph with the prescribed degrees. This is a beautiful example of a general technique called the . that was pioneered by Erdős. It allows us to count rather precisely how many graphs there are

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https://doi.org/10.1007/978-94-015-0772-1tive splicing events in a reference-free context can be done by enumerating all bubbles in a de Bruijn graph built from RNA-seq reads [.]. However, listing and analysing all bubbles in a given graph is usually unfeasible in practice, due to the exponential number of bubbles present in real data grap

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Modern Marketing Communicationsecently they appeared in the scene, in a streaming setting. The goal is to construct layouts in which the readability of an edge is proportional to its importance, that is, more important edges have fewer crossings. We formalize this problem and study the case in which there exist three different de

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https://doi.org/10.1007/978-94-011-5628-8, and no isolated vertices. Let . be the convex hull of the stable sets of .. It is easy to see that .. We improve both of these bounds. For the upper bound, we show that . is ., which is an improvement when . has quadratically many edges. For the lower bound, we prove that . is . when . is the inci

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