neerajwagh / eeg-gcnnLinks
Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.
☆177Updated 2 years ago
Alternatives and similar repositories for eeg-gcnn
Users that are interested in eeg-gcnn are comparing it to the libraries listed below
Sorting:
- Graph Convolutional Networks for 4-class EEG Classification☆83Updated 4 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆109Updated 2 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆134Updated last year
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆50Updated 4 years ago
- ☆172Updated 2 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆63Updated last year
- ☆83Updated 3 years ago
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆54Updated 4 years ago
- The model for the paper "EEG-Based Emotion Recognition Using Regularized Graph Neural Networks"☆204Updated 4 years ago
- GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)☆60Updated last year
- code for LMDA☆84Updated 2 years ago
- ☆21Updated 2 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆113Updated last year
- Attention temporal convolutional network for EEG-based motor imagery classification☆272Updated 5 months ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆72Updated 4 months ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆45Updated last year
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆93Updated 2 years ago
- ☆93Updated 9 months ago
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆150Updated last year
- http://www.eecs.qmul.ac.uk/mmv/datasets/deap/☆28Updated 4 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆93Updated 2 years ago
- A ViT based transformer applied on multi-channel time-series EEG data for motor imagery classification☆181Updated 3 months ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆75Updated 3 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆53Updated 4 years ago
- EEG-based emotion classification using DEAP dataset☆148Updated 2 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆81Updated 4 years ago
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆134Updated 4 years ago
- Deep Learning pipeline for motor-imagery classification.☆60Updated 3 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆39Updated 2 years ago
- Pytorch implementation of EEGNet.☆46Updated 2 years ago