An Efficient Graph Learning System for Emotion Recognition Inspired by the Cognitive Prior Graph of EEG Brain Network

• Published in: IEEE transaction on neural networks and learning systems Vol. 36; no. 4; pp. 7130 - 7144
• Main Authors: Li, Cunbo, Tang, Tian, Pan, Yue, Yang, Lei, Zhang, Shuhan, Chen, Zhaojin, Li, Peiyang, Gao, Dongrui, Chen, Huafu, Li, Fali, Yao, Dezhong, Cao, Zehong, Xu, Peng
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.04.2025
• Subjects: Adult; Affective computing; Algorithms; Attention - physiology; Brain - physiology; Brain modeling; Cognition; Cognition - physiology; cognition-inspired learning; electroencephalogram (EEG) brain networks; Electroencephalography; Electroencephalography - methods; Emotion recognition; Emotions - physiology; Feature extraction; graph neural network; Humans; Learning systems; Machine Learning; Neural Networks, Computer; Pattern Recognition, Automated - methods

Benefiting from the high-temporal resolution of electroencephalogram (EEG), EEG-based emotion recognition has become one of the hotspots of affective computing. For EEG-based emotion recognition systems, it is crucial to utilize state-of-the-art learning strategies to automatically learn emotion-rel...