Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting-Reference-Cited by-同舟云学术

Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting

Published:2021 Issue: Volume: Page:1-1
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Guo Shengnan¹,Lin Youfang²,Wan Huaiyu³,Li Xiucheng⁴,Cong Gao⁵

Affiliation:

1. School of Computer and Information Technology, Beijing Jiaotong University, 47829 Beijing, Beijing, China, (e-mail: guoshn@bjtu.edu.cn)

2. school of computer and information technology, Beijing Jiaotong University, 47829 Beijing, Beijing, China, 100044 (e-mail: yflin@bjtu.edu.cn)

3. School of Computer and Information Technology, Beijing Jiaotong University, Beijing, Beijing, China, 100044 (e-mail: hywan@bjtu.edu.cn)

4. School of Computer Science and Engineering, Nanyang Technological University, 54761 SINGAPORE, SINGAPORE, Singapore, (e-mail: lixiucheng@ntu.edu.sg)

5. School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore, Singapore, (e-mail: gaocong@ntu.edu.sg)

Funder

the Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/4358933/09346058.pdf?arnumber=9346058

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