Learning Multiaspect Traffic Couplings by Multirelational Graph Attention Networks for Traffic Prediction-Reference-Cited by-同舟云学术

Learning Multiaspect Traffic Couplings by Multirelational Graph Attention Networks for Traffic Prediction

Author:

Huang Jing¹^ORCID,Luo Kun¹^ORCID,Cao Longbing²^ORCID,Wen Yuanqiao³,Zhong Shuyuan¹

Affiliation:

1. School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China

2. Faculty of Engineering and IT, University of Technology Sydney, Sydney, NSW, Australia

3. National Engineering Research Center for Water Transport Safety, Wuhan University of Technology, Wuhan, China

Funder

National Natural Science Foundation of China

Zhejiang Provincial Science and Technology Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

Reference59 articles.

2. Neural machine translation by jointly learning to align and translate;bahdanau;arXiv 1409 0473,2014

4. Semi-supervised classification with graph convolutional networks;kipf;arXiv 1609 02907,2016

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