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GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding
  Time-resolved EEG Motor Imagery Signals

GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals

16 June 2020
Yimin Hou
Shuyue Jia
Xiangmin Lun
Hanrui Yang
Yan Shi
Yongqian Li
Shu Zhang
Jinglei Lv
ArXivPDFHTML

Papers citing "GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals"

14 / 14 papers shown
Title
Attention-based Graph ResNet for Motor Intent Detection from Raw EEG
  signals
Attention-based Graph ResNet for Motor Intent Detection from Raw EEG signals
Shuyue Jia
Yimin Hou
Yan Shi
Yongqian Li
33
22
0
25 Jun 2020
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaML
GNN
AI4TS
AI4CE
511
8,496
0
03 Jan 2019
Large-Scale Learnable Graph Convolutional Networks
Large-Scale Learnable Graph Convolutional Networks
Hongyang Gao
Zhengyang Wang
Shuiwang Ji
GNN
78
592
0
12 Aug 2018
Transfer Learning for Brain-Computer Interfaces: A Euclidean Space Data
  Alignment Approach
Transfer Learning for Brain-Computer Interfaces: A Euclidean Space Data Alignment Approach
He He
Dongrui Wu
OOD
39
308
0
08 Aug 2018
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
442
15,179
0
07 Jun 2017
Deep learning with convolutional neural networks for EEG decoding and
  visualization
Deep learning with convolutional neural networks for EEG decoding and visualization
Robin Tibor Schirrmeister
Jost Tobias Springenberg
Lukas Dominique Josef Fiederer
Martin Glasstetter
Katharina Eggensperger
Michael Tangermann
Frank Hutter
Wolfram Burgard
Tonio Ball
68
1,924
0
15 Mar 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
384
1,818
0
25 Nov 2016
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer
  Interfaces
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces
Vernon J. Lawhern
Amelia J. Solon
Nicholas R. Waytowich
Stephen M. Gordon
C. Hung
Brent Lance
OOD
88
2,869
0
23 Nov 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
302
7,646
0
30 Jun 2016
Learning Convolutional Neural Networks for Graphs
Learning Convolutional Neural Networks for Graphs
Mathias Niepert
Mohamed Ahmed
Konstantin Kutzkov
GNN
SSL
108
2,151
0
17 May 2016
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
405
43,234
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.3K
149,842
0
22 Dec 2014
Spectral Networks and Locally Connected Networks on Graphs
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
183
4,870
0
21 Dec 2013
The Emerging Field of Signal Processing on Graphs: Extending
  High-Dimensional Data Analysis to Networks and Other Irregular Domains
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains
D. Shuman
S. K. Narang
P. Frossard
Antonio Ortega
P. Vandergheynst
120
3,972
0
31 Oct 2012
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