wjyu01 / GraphEmotionNetLinks
A Pytorch implementation of our paper "Adaptive Spatial-Temporal Aware Graph Learning for EEG-based Emotion Recognition".
☆16Updated last year
Alternatives and similar repositories for GraphEmotionNet
Users that are interested in GraphEmotionNet are comparing it to the libraries listed below
Sorting:
- ☆13Updated 2 years ago
- ECLGCNN is an emotion recognition method based on EEG data.☆19Updated 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
- My master thesis about emotion recognition from EEG data with a time series transformer☆21Updated 2 years ago
- http://www.eecs.qmul.ac.uk/mmv/datasets/deap/☆28Updated 4 years ago
- ☆32Updated 2 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆67Updated last year
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆19Updated 2 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆111Updated 2 years ago
- EEG emotion classification based on Graph CNN and fine-gained algorithm.☆12Updated 4 years ago
- Emotion recognition base on EEG.☆17Updated 2 years ago
- Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity☆42Updated 5 years ago
- Parallel Spatial--Temporal Self-attention CNN-based Motor Imagery Classification for BCI☆32Updated 4 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆55Updated 2 years ago
- Official code on "Visual-to-EEG cross-modal knowledge distillation for continuous emotion recognition", Pattern Recognition 2022.☆15Updated 3 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆93Updated 2 years ago
- Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition☆40Updated 5 years ago
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆55Updated 4 years ago
- Code of paper MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition☆100Updated last year
- This repository contains the code for our proposed method "Multi-source Feature Alignment and Label Rectification" (MFA-LR), which has be…☆20Updated 2 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆76Updated 3 years ago
- paper for “Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification”☆14Updated 4 years ago
- Graph Convolutional Networks for 4-class EEG Classification☆84Updated 4 years ago
- The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…☆58Updated 4 months ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆33Updated last month
- ☆21Updated 2 years ago
- ☆21Updated 2 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆117Updated 2 years ago
- official implementation of the PR-PL model (arxiv：https://arxiv.org/abs/2202.06509)☆43Updated last year
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆30Updated 5 years ago