Exploring physical and functional EEG connectivity with multilayer graph transformer convolutional networks for emotion recognition

Electroencephalogram (EEG)-based emotion recognition has emerged as a compelling direction in affective computing, driven by its ability to provide objective, neural-level insights into emotional states. However, the high-dimensional and complex spatial and functional characteristics of EEG data pre...

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Autors principals:	S. M. Atoar Rahman, Md Ibrahim Khalil, Hui Zhou, Ziyun Ding, Yu Guo
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2026-01-01
Col·lecció:	Frontiers in Human Neuroscience
Matèries:	EEG emotion recognition graph transformer convolutional layers graph convolutional neural networks physical proximity functional connectivity
Accés en línia:	https://www.frontiersin.org/articles/10.3389/fnhum.2025.1715410/full
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