nocturia
发表于 2025-3-30 12:03:33
Faster Force-Directed Graph Drawing with the Well-Separated Pair Decompositionand show that we can strongly reduce the runtime—even on graphs with less then a hundred vertices—without a significant influence on the quality of the drawings (in terms of number of crossings and deviation in edge lengths).
modifier
发表于 2025-3-30 16:10:14
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洞察力
发表于 2025-3-30 17:17:13
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Immunoglobulin
发表于 2025-3-30 22:13:15
https://doi.org/10.1007/978-1-4842-3997-1ution, edge length and face aspect ratio of the constructed drawings. We observe that the corrected algorithm of Mondal et al. mostly outperforms the other algorithms, especially in terms of angular resolution. However, the new algorithms perform better in terms of edge length and minimal face aspect ratio.
不适
发表于 2025-3-31 04:27:00
Drawing Planar Cubic 3-Connected Graphs with Few Segments: Algorithms and Experimentsution, edge length and face aspect ratio of the constructed drawings. We observe that the corrected algorithm of Mondal et al. mostly outperforms the other algorithms, especially in terms of angular resolution. However, the new algorithms perform better in terms of edge length and minimal face aspect ratio.
contradict
发表于 2025-3-31 05:49:02
https://doi.org/10.1007/978-1-137-55360-7e high potential of our approach, which is particularly appealing for dynamic graphs. In comparison to the previously best maxent-stress optimizer, which is sequential, our parallel implementation is on average 30 times faster already for static graphs (and still faster if executed on one thread) while producing a comparable solution quality.
拔出
发表于 2025-3-31 11:58:02
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畸形
发表于 2025-3-31 15:39:21
https://doi.org/10.1007/978-1-4302-3859-1er edge pair suffice. This improves on results by Grilli et al. (GD’14), who prove that nine bends per edge suffice, and by Chan et al. (GD’14), who prove that twenty-four crossings per edge pair suffice.
grudging
发表于 2025-3-31 20:29:42
Drawing Large Graphs by Multilevel Maxent-Stress Optimizatione high potential of our approach, which is particularly appealing for dynamic graphs. In comparison to the previously best maxent-stress optimizer, which is sequential, our parallel implementation is on average 30 times faster already for static graphs (and still faster if executed on one thread) while producing a comparable solution quality.
goodwill
发表于 2025-3-31 23:33:39
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