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.
☆174Updated 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☆81Updated 4 years ago
- ☆169Updated 2 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
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆130Updated last year
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆52Updated 4 years ago
- The model for the paper "EEG-Based Emotion Recognition Using Regularized Graph Neural Networks"☆200Updated 4 years ago
- code for LMDA☆81Updated last year
- ☆82Updated 3 years ago
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆130Updated 3 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆72Updated 3 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆84Updated 7 years ago
- A Graph Convolutional Network Approach for Depression Detection using EEG based Brain Networks☆22Updated 4 years ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆45Updated last year
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆69Updated last month
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆60Updated last year
- Pytorch implementation of EEGNet.☆46Updated 2 years ago
- ☆88Updated 7 months ago
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆147Updated last year
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆111Updated last year
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆92Updated 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
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆92Updated 2 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆34Updated last year
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆45Updated 2 years ago
- ☆20Updated last year
- modify self-attention model for EEG signal as input and image embedding layer as output☆102Updated 6 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆120Updated last year
- A Novel Brain-Computer Interfaces System Design Based on Combining of fNIRS and EEG Signals☆19Updated 4 years ago
- Attention temporal convolutional network for EEG-based motor imagery classification☆265Updated 3 months ago