DeepGD: A Deep Learning Framework for Graph Drawing Using GNN
IEEE COMPUTER GRAPHICS AND APPLICATIONS(2021)
Abstract
In the past decades, many graph drawing techniques have been proposed for generating aesthetically pleasing graph layouts. However, it remains a challenging task since different layout methods tend to highlight different characteristics of the graphs. Recently, studies on deep-learning-based graph drawing algorithms have emerged but they are often not generalizable to arbitrary graphs without retr...
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Key words
Layout,Measurement,Stress,Graph neural networks,Deep learning,Data models,Training
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