Siam-GCAN: A Siamese Graph Convolutional Attention Network for EEG Emotion Recognition-Reference-Cited by-同舟云学术

Siam-GCAN: A Siamese Graph Convolutional Attention Network for EEG Emotion Recognition

Author:

Zeng Hong¹^ORCID,Wu Qi¹^ORCID,Jin Yanping¹^ORCID,Zheng Haohao¹^ORCID,Li Mingming¹^ORCID,Zhao Yue¹^ORCID,Hu Hua²^ORCID,Kong Wanzeng¹^ORCID

Affiliation:

1. School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China

2. School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

NSFC

National International Joint Research Center for Brain-Machine Collaborative Intelligence

Key Laboratory of Brain Machine Collaborative Intelligence of Zhejiang Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

Reference48 articles.

2. Convolutional neural networks on graphs with fast localized spectral filtering;defferrard;arXiv 1606 09375,2016

4. Deep feature mining via attention-based BiLSTM-GCN for human motor imagery recognition;hou;arXiv 2005 00777,2020

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