ICLab4DL / GGNLinks
GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)
☆63Updated last year
Alternatives and similar repositories for GGN
Users that are interested in GGN are comparing it to the libraries listed below
Sorting:
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆72Updated last week
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆55Updated 4 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
- code for LMDA☆84Updated 2 years ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆68Updated 6 months ago
- ☆21Updated 2 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆70Updated last year
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆41Updated 2 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆94Updated 2 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆48Updated 3 years ago
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆180Updated 3 years ago
- Graph Convolutional Networks for 4-class EEG Classification☆85Updated 5 years ago
- ☆32Updated 2 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆80Updated 3 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆140Updated last year
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆81Updated 3 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆113Updated 2 years ago
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Updated 4 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆119Updated 2 years ago
- High-East / Attention-based-spatio-temporal-spectral-feature-learning-for-subject-specific-EEG-classificationOfficial code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper☆37Updated 4 years ago
- ☆83Updated 4 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆95Updated 2 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆46Updated 11 months ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆28Updated 5 months ago
- ☆96Updated 11 months ago
- ☆11Updated 2 years ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆91Updated 4 months ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆78Updated last year
- EEG motor imagery classification using convolutional neural networks☆39Updated 2 years ago
- ☆37Updated last year