Physics-Informed Graph Learning-Reference-Cited by-同舟云学术

Physics-Informed Graph Learning

Published:2022-11 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Data Mining Workshops (ICDMW)
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Author:

Peng Ciyuan¹,Xia Feng¹,Saikrishna Vidya²,Liu Huan³

Affiliation:

1. Federation University Australia,Institute of Innovation, Science and Sustainability,Ballarat,Australia

2. Federation University Australia,Global Professional School,Ballarat,Australia

3. School of Computing and Augmented Intelligence Arizona State University,Tempe,AZ,USA

Publisher

IEEE

Link

Reference60 articles.

1. Combining physics and machine learning for network flow estimation;da silva;International Conference on Learning Representations,2020

2. Deep energy-based modeling of discrete-time physics;matsubara;Advances in neural information processing systems,2020

3. Physics-informed graph learning for robust fault location in distribution systems;li;ArXiv e-prints,2021

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