DeepGD: A Deep Learning Framework for Graph Drawing Using GNN

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Xiaoqi Wang, Kevin Yen, Yifan Hu, Han-Wei Shen

 View presentation:2022-10-20T20:57:00ZGMT-0600Change your timezone on the schedule page
2022-10-20T20:57:00Z

Exemplar figure, described by caption below — We propose a novel Graph Neural Network-based deep learning framework for graph drawing, which can optimize the generated graph layouts toward any differentiable aesthetic metric. Given the fact that a visually pleasing graph layout usually complies with multiple aesthetic aspects, our method attempts to optimize multiple aesthetics simultaneously.

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Abstract