Skip to content
Search
English
English
Deutsch
Polski
Español
Français
Italiano
Home
Journals
Applied Mathematics and Nonlinear Sciences
Volume 7 (2022): Issue 2 (July 2022)
Open Access
Spatial–temporal graph neural network based on node attention
Qiang Li
Qiang Li
School of Electronic and Information Engineering, South China University of Technology
Guangzhou, China
Search for this author on
Sciendo
|
Google Scholar
Li, Qiang
,
Jun Wan
Jun Wan
Midea Intelligent Life Research Institute, Midea Real Estate Holding Limited
Foshan, China
Search for this author on
Sciendo
|
Google Scholar
Wan, Jun
,
Wucong Zhang
Wucong Zhang
Midea Intelligent Life Research Institute, Midea Real Estate Holding Limited
Foshan, China
Search for this author on
Sciendo
|
Google Scholar
Zhang, Wucong
and
Qian Long Kweh
Qian Long Kweh
Canadian University Dubai
Search for this author on
Sciendo
|
Google Scholar
Kweh, Qian Long
Apr 08, 2022
Applied Mathematics and Nonlinear Sciences
Volume 7 (2022): Issue 2 (July 2022)
About this article
Previous Article
Next Article
Abstract
Article
Figures & Tables
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Download Cover
Published Online:
Apr 08, 2022
Page range:
703 - 712
Received:
May 23, 2021
Accepted:
Sep 27, 2021
DOI:
https://doi.org/10.2478/amns.2022.1.00005
Keywords
Action recognition
,
skeletons
,
spatial–temporal graph convolution
,
attention mechanism
© 2021 Qiang Li et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.