Changes for page [Layout] Force-directed Layout of Hypergraphs in 3D Space
Last modified by Jette Petzold on 2024/02/13 07:58
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edited by Alexander Schulz-Rosengarten
on 2022/10/06 10:03
on 2022/10/06 10:03
edited by Maximilian Kasperowski
on 2022/10/06 11:44
on 2022/10/06 11:44
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... ... @@ -1,1 +1,1 @@ 1 -XWiki.a ls1 +XWiki.mka - Content
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... ... @@ -1,4 +1,4 @@ 1 -T ODOSatzzu top-down1 +Top-down Layout is a technique to draw large hierarchical diagrams from the root node downwards, scaling children down to fit in the space provided by their parents. This is in contrast to bottom-up layout where children are laid out first and the parents' dimensions are determined accordingly afterwards. 2 2 3 3 In top-down layout a strategy needs to be used to set node sizes without knowledge of the hierarchical contents of the node as that has not been processed/laid out at that point. Current strategies are: 4 4 ... ... @@ -28,11 +28,11 @@ 28 28 29 29 = Related Work/Literature = 30 30 31 -[ WIP] Top-downlayoutpaper31 +[Under Review] M. Kasperowski and R. von Hanxleden, //Top-down Layout: Utilizing Zoom as the Third Dimension// 32 32 33 -[[http:~~/~~/neuralnetworksanddeeplearning.com/index.html>>url:http://neuralnetworksanddeeplearning.com/index.html||shape="rect"]] 33 +M. Nielsen, //Neural Networks and Deep Learning//, Determination Press, 2015 ([[http:~~/~~/neuralnetworksanddeeplearning.com/index.html>>url:http://neuralnetworksanddeeplearning.com/index.html||shape="rect"]]) 34 34 35 -[[https:~~/~~/www.deeplearningbook.org/>>url:https://www.deeplearningbook.org/||shape="rect"]] 35 +I. Goodfellow and Y. Bengio and A. Courville, //Deep Learning//, MIT Press, 2016 ([[https:~~/~~/www.deeplearningbook.org/>>url:https://www.deeplearningbook.org/||shape="rect"]]) 36 36 37 37 = Involved Languages/Technologies = 38 38 ... ... @@ -44,4 +44,4 @@ 44 44 45 45 Maximilian Kasperowski 46 46 47 -mka@ 47 +mka@informatik.uni-kiel.de
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... ... @@ -1,1 +1,1 @@ 1 -13618395 11 +136183954 - URL
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... ... @@ -1,1 +1,1 @@ 1 -https://rtsys.informatik.uni-kiel.de/confluence//wiki/spaces/RTSYS/pages/13618395 1/A Machine Learning Approach for Node Size Approximation in Top-down Layout1 +https://rtsys.informatik.uni-kiel.de/confluence//wiki/spaces/RTSYS/pages/136183954/A Machine Learning Approach for Node Size Approximation in Top-down Layout