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EEG_Emotion

使用图神经网络系列处理脑电信号,实现脑电情绪分类(2023年实现) Using a series of graph neural networks to process EEG signals and achieve EEG-based emotion classification(2023)

相关实验和代码实现:

Related Experiments and Code Implementation:

用于图神经网络的脑电数据处理实现(Implementation of EEG Data Processing for Graph Neural Networks) GCN GAT SGC Transformer RGNN(复现) DeppGCN

相关解析可参考个人博客文章:https://blog.csdn.net/KPer_Yang/article/details/129172252 For relevant analysis, please refer to my personal blog post:https://blog.csdn.net/KPer_Yang/article/details/129172252

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使用不同的图神经网络架构实现EEG信号的情绪分类(Implementing emotion classification of EEG signals using different graph neural network architectures)

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