Tinbeh97 / Graph_ML
☆9Updated last year
Alternatives and similar repositories for Graph_ML:
Users that are interested in Graph_ML are comparing it to the libraries listed below
- ☆20Updated last year
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆65Updated last month
- code for LMDA☆79Updated last year
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆43Updated 2 years ago
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆52Updated 3 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
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆55Updated 11 months ago
- ☆22Updated last year
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆37Updated last year
- ☆33Updated 10 months 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 3 years ago
- Official repository of EEG-Inception, a general-purpose and powerful deep convolutional neural network for EEG procesing☆43Updated last year
- ☆13Updated 2 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆23Updated 7 months ago
- MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification☆19Updated 4 years ago
- ☆12Updated 2 years ago
- The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"☆14Updated 2 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆90Updated last year
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆48Updated 3 years ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆47Updated 2 years ago
- ☆30Updated last year
- Preprocesamiento de BCI Competition IV data set 2a☆11Updated 4 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆105Updated last year
- Implementing Common Spatial Pattern (CSP) algorithm for MI-BCI from scratch with python☆8Updated 4 years ago
- Public Models considered for emotion estimation from EEG☆34Updated 2 years ago
- Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-based EEG Signals☆33Updated 2 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆71Updated 3 years ago
- A Lightweight and High Performance Neural network for MI-EEG decoding☆22Updated last month
- Deep Learning pipeline for motor-imagery classification.☆60Updated 3 years ago
- ☆59Updated last year