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• W2141679151 abstract "In this paper, we present an algorithm to lay out a particular class of graphs coming from real case studies: the quasi-tree graph class. Protein and internet mappings projects have shown the interest of devicing dedicated tools for visualizing such graphs. Our method addresses a challenging problem which consists in computing a layout of large graphs (up to hundred of thousands of nodes) that emphasizes their tree-like property in an efficient time. In order to validate our approach, we compare our results on real data to those obtained by well known algorithms." @default.
• W2141679151 created "2016-06-24" @default.
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• W2141679151 date "2009-07-01" @default.
• W2141679151 modified "2023-10-16" @default.
• W2141679151 title "Large Quasi-Tree Drawing: A Neighborhood Based Approach" @default.
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• W2141679151 doi "https://doi.org/10.1109/iv.2009.40" @default.
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