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Weighted graphs with presumed cluster structure are challenging to many existing graph drawing methods, even though ways of visualizing such graphs would be much needed in complex networks research. In the field of dimension reduction, t-distibuted stochastic neighbor embedding (t-SNE) has proven successful in visualizing clustered data. Here, we extend t-SNE into graph-SNE (GSNE). Our method builds...
We propose a novel approximation technique, bubble approximation (BA), for repulsion forces in an N-body problem, where attraction has a limited range and repulsion acts between all points. These kinds of systems occur frequently in dimension reduction and graph drawing. Like tree codes, the established N-body approximation method, BA replaces several point-to-point computations by one area-to-point...
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