Node Connection Strength Matrix-Based Graph Convolution Network for Traffic Flow Prediction-Reference-Cited by-同舟云学术

Node Connection Strength Matrix-Based Graph Convolution Network for Traffic Flow Prediction

Author:

Chen Jian¹^ORCID,Wang Wei²^ORCID,Yu Keping³^ORCID,Hu Xiping²^ORCID,Cai Ming¹^ORCID,Guizani Mohsen⁴^ORCID

Affiliation:

1. School of Intelligent Systems Engineering, Sun Yat-Sen University, Guangzhou, China

2. School of Medical Technology, Beijing Institute of Technology, Beijing, China

3. Graduate School of Science and Engineering, Hosei University, Koganei, Japan

4. Department of Machine Learning, Mohamed Bin Zayed University of Artificial Intelligence, Masdar, UAE

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

Sun Yat-sen University

Sustainable Development Science and Technology Project of Shenzhen Science and Technology Innovation Commission

Industry-University-Research Cooperation Project

Guangdong Province, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

Reference43 articles.

1. Convolutional neural networks on graphs with fast localized spectral filtering;defferrard;Proc Adv Neural Inf Process Syst,0

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