DeepGD: A Deep Learning Framework for Graph Drawing Using GNN

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

View presentation:Thursday, October 20th, 2022 @ 20:57GMT+00:00Change your timezone on the schedule page
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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