zzx-JLU / ECLGCNNLinks
ECLGCNN is an emotion recognition method based on EEG data.
☆19Updated 2 years ago
Alternatives and similar repositories for ECLGCNN
Users that are interested in ECLGCNN are comparing it to the libraries listed below
Sorting:
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆21Updated 2 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆97Updated 2 years ago
- EEG emotion classification based on Graph CNN and fine-gained algorithm.☆12Updated 4 years ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆22Updated 2 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆38Updated 4 months ago
- A Pytorch implementation of our paper "Adaptive Spatial-Temporal Aware Graph Learning for EEG-based Emotion Recognition".☆17Updated last year
- Emotion recognition base on EEG.☆19Updated 2 years ago
- ☆32Updated 2 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆72Updated last year
- 硕士期间课题研究记录☆17Updated 2 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆115Updated 2 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆51Updated 4 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆83Updated 4 years ago
- ☆20Updated 5 years ago
- Graph Convolutional Networks for 4-class EEG Classification☆87Updated 5 years ago
- ☆13Updated 2 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆44Updated 6 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆57Updated 3 years ago
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆56Updated 4 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆82Updated 3 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆39Updated 2 years ago
- MAS-DGAT-Net: A Dynamic Graph Attention Network with Multibranch Feature Extraction and Staged Fusion for EEG Emotion Recognition☆19Updated last year
- http://www.eecs.qmul.ac.uk/mmv/datasets/deap/☆28Updated 4 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆75Updated 2 years ago
- Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity☆43Updated 5 years ago
- 在 SEED 数据集上做 EEG 情绪识别☆120Updated 5 years ago
- ☆21Updated 2 years ago
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆137Updated 4 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆122Updated 2 years ago
- ☆13Updated 3 years ago