FDSA-STG: Fully Dynamic Self-Attention Spatio-Temporal Graph Networks for Intelligent Traffic Flow Prediction-Reference-Cited by-同舟云学术

FDSA-STG: Fully Dynamic Self-Attention Spatio-Temporal Graph Networks for Intelligent Traffic Flow Prediction

Author:

Duan Youxiang¹^ORCID,Chen Ning¹^ORCID,Shen Shigen²^ORCID,Zhang Peiying¹^ORCID,Qu Youyang³,Yu Shui⁴^ORCID

Affiliation:

1. College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China

2. Department of Computer Science and Engineering, Shaoxing University, Shaoxing, China

3. Data61, Australia Commonwealth Scientific and Industrial Research Organization, Canberra, ACT, Australia

4. School of Computer Science, University of Technology Sydney, Ultimo, NSW, Australia

Funder

Natural Science Foundation of Shandong Province

Industry-University Research Innovation Foundation of Ministry of Education of China

Major Scientific and Technological Projects of CNPC

Open Foundation of State Key Laboratory of Integrated Services Networks

Xidian University

Zhejiang Provincial Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

Reference40 articles.

5. Graph attention networks;veli?kovi?,2017

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