A Multi-Dimensional Graph Convolution Network for EEG Emotion Recognition-Reference-Cited by-同舟云学术

A Multi-Dimensional Graph Convolution Network for EEG Emotion Recognition

Author:

Du Guanglong¹^ORCID,Su Jinshao¹^ORCID,Zhang Linlin¹^ORCID,Su Kang¹^ORCID,Wang Xueqian²^ORCID,Teng Shaohua³^ORCID,Liu Peter Xiaoping⁴^ORCID

Affiliation:

1. School of Computer Science and Engineering, South China University of Technology, Guangzhou, China

2. Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China

3. School of Guangdong University of Technology, Guangzhou, China

4. Carleton University, Ottawa, ON, Canada

Funder

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Innovation Team of the Modern Agriculture Industry Technology System in Guangdong Province

Key-Area Research and Development Program of Guangdong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

Reference44 articles.

5. GCNs-Net: A graph convolutional neural network approach for decoding time-resolved EEG motor imagery signals;hou;arXiv 2006 08924,2020

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