Graph variational auto-encoder for deriving EEG-based graph embedding
Published 2021 View Full Article
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Title
Graph variational auto-encoder for deriving EEG-based graph embedding
Authors
Keywords
Biometrics, Functional connectivity, Electroencephalogram (EEG), Graph variational auto encoder (GVAE), Graph deep learning
Journal
PATTERN RECOGNITION
Volume 121, Issue -, Pages 108202
Publisher
Elsevier BV
Online
2021-07-22
DOI
10.1016/j.patcog.2021.108202
References
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- (2020) Min Wang et al. PATTERN RECOGNITION
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