Unified Spatial-Temporal Neighbor Attention Network for Dynamic Traffic Prediction-Reference-Cited by-同舟云学术

Unified Spatial-Temporal Neighbor Attention Network for Dynamic Traffic Prediction

Author:

Long Wangchen¹^ORCID,Xiao Zhu¹^ORCID,Wang Dong¹^ORCID,Jiang Hongbo¹^ORCID,Chen Jie²^ORCID,Li You³,Alazab Mamoun⁴^ORCID

Affiliation:

1. College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan, China

2. School of Advanced Interdisciplinary Studies, Hunan University of Technology and Business, Changsha, Hunan, China

3. Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, Guangdong, China

4. College of Engineering, IT and Environment, Charles Darwin University, Darwin, NT, Australia

Funder

National Natural Science Foundation of China

Key Research and Development Project of Hunan Province of China

Humanities and Social Sciences Foundation of MOE

Hunan Natural Science Foundation of China

Open Research Fund from Guangdong Laboratory of Artificial Intelligence and Digital Economy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

Reference46 articles.

2. Attention is all you need;vaswani;Proc Adv Neural Inf Process Syst,0

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