magnumical / GCN_for_EEGLinks
Graph Convolutional Networks for 4-class EEG Classification
☆81Updated 4 years ago
Alternatives and similar repositories for GCN_for_EEG
Users that are interested in GCN_for_EEG are comparing it to the libraries listed below
Sorting:
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆52Updated 3 years ago
- http://www.eecs.qmul.ac.uk/mmv/datasets/deap/☆28Updated 4 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆107Updated 2 years ago
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆173Updated 2 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆50Updated 4 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆57Updated last year
- A Graph Convolutional Network Approach for Depression Detection using EEG based Brain Networks☆22Updated 4 years ago
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆18Updated 2 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆92Updated last year
- ☆13Updated 2 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆71Updated 3 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆33Updated last year
- Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity☆39Updated 5 years ago
- ☆82Updated 3 years ago
- ☆87Updated 6 months ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆67Updated last month
- ECLGCNN is an emotion recognition method based on EEG data.☆19Updated 2 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆130Updated last year
- GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)☆55Updated last year
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆108Updated last year
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆72Updated 3 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆92Updated 2 years ago
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆85Updated 5 years ago
- The model for the paper "EEG-Based Emotion Recognition Using Regularized Graph Neural Networks"☆200Updated 4 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆54Updated 2 years ago
- the implementation of multimodal emtion recognizer —— CTCNe which is proposed in "Learning Regional-Level Feature Fusion and Sentiment-Re…☆19Updated 4 years ago
- ☆20Updated last year
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆38Updated last year
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 years ago
- Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.☆79Updated 4 years ago