Minimum spanning tree based graph neural network for emotion classification using EEG
Abstract
Emotion classification based on neurophysiology signals has been a challenging issue in the literature. Recent neuroscience findings suggest that brain network structure underlying the different emotions provides a window in understanding human affection. In this paper, we propose a novel method to capture the distinct minimum spanning tree (MST) topology underpinning the different emotions. Specifically, we propose a hierarchical...
Paper Details
Title
Minimum spanning tree based graph neural network for emotion classification using EEG
Published Date
Jan 1, 2022
Journal
Volume
145
Pages
308 - 318
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