SSGCNet: A Sparse Spectra Graph Convolutional Network for Epileptic EEG Signal Classification-Reference-Cited by-同舟云学术

SSGCNet: A Sparse Spectra Graph Convolutional Network for Epileptic EEG Signal Classification

Published:2023 Issue: Volume: Page:1-15
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Wang Jialin¹^ORCID,Gao Rui²^ORCID,Zheng Haotian¹,Zhu Hao¹^ORCID,Shi C.-J. Richard³^ORCID

Affiliation:

1. State Key Laboratory of ASIC and Systems, the Institute of Brain-Inspired Circuits and Systems, and the Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, China

2. Department of Naval Architecture and Ocean Engineering, Shanghai Jiao Tong University, Shanghai, China

3. Department of Electrical and Computer Engineering, University of Washington, Seattle, WA, USA

Funder

Science and Technology Commission of Shanghai Municipality

Natural Science Foundation of Shanghai

Young Scientist Project of MOE Innovation Platform

Shanghai Pujiang Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10075361.pdf?arnumber=10075361

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