20 citations · 24 across the 6 of their papers we have counts for
4 papers · 1 filter
Edge-Path Bundling: A Less Ambiguous Edge Bundling Approach
Markus Wallinger, Daniel Archambault, David Auber +2
Edge bundling techniques cluster edges with similar attributes (i.e. similarity in direction and proximity) together to reduce the visual clutter. All edge bundling techniques to d…
Deep Neural Network for DrawiNg Networks, (DNN)^2
Loann Giovannangeli, Frederic Lalanne, David Auber +2
By leveraging recent progress of stochastic gradient descent methods, several works have shown that graphs could be efficiently laid out through the optimization of a tailored obje…
Impacts of the Numbers of Colors and Shapes on Outlier Detection: from Automated to User Evaluation
Loann Giovannangeli, Romain Giot, David Auber +1
The design of efficient representations is well established as a fruitful way to explore and analyze complex or large data. In these representations, data are encoded with various…
Graph Drawing and Network Visualization GD2020
David Auber, Pavel Valtr
Proceedings of GD2020: This volume contains the papers presented at GD~2020, the 28th International Symposium on Graph Drawing and Network Visualization, held on September 18-20, 2…