This repo illustrates the RGNN model implementation in the paper EEG-Based Emotion Recognition Using Regularized Graph Neural Networks. The model is based on torch geometric v1.2.1 The EmotionDL ...

The last decade has seen the rise of Graph Analysis (GA) for post-processing EEG/MEG connectivity results where concepts like small-worldness have attracted considerable attention. Yet several network ...

Huiyang Wang, Hua Yu, and Haixian Wang. Eeg_genet: A feature-level graph embedding method for motor imagery classification based on eeg signals. Biocybernetics and Biomedical Engineering, ...

Convolutional Neural Network,EEG Signals,Graph Neural Networks,Motor Imagery,Neural Network,Deep Learning,Backbone Network,EEG Data,Graph Attention Network,Graph Convolutional Network,Long Short-term ...

Graph Convolutional Network,Feature Maps,Area Under Curve,Graph Convolution,Brain Regions,Convolutional Network,Convolutional Neural Network,Discriminative Features ...