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DeepGD: A Deep Learning Framework for Graph Drawing Using GNN

IEEE COMPUTER GRAPHICS AND APPLICATIONS(2021)

Cited 13|Views23
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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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