GATSMOTE: Improving Imbalanced Node Classification on Graphs via Attention and Homophily

In recent decades, non-invasive neuroimaging techniques and graph theories have enabled a better understanding of the structural patterns of the human brain at a macroscopic level. As one of the most widely used non-invasive techniques, an electroencephalogram (EEG) may collect non-neuronal signals...

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Bibliographic Details

Published in:	Mathematics
Main Authors:	Yongxu Liu, Zhi Zhang, Yan Liu, Yao Zhu
Format:	Article
Language:	English
Published:	MDPI AG 2022-05-01
Subjects:	class-imbalance edge prediction EEG attention node classification
Online Access:	https://www.mdpi.com/2227-7390/10/11/1799