xujiayang530 / DGCNN
pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks
☆69Updated last year
Related projects ⓘ
Alternatives and complementary repositories for DGCNN
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆89Updated last year
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆47Updated 6 months ago
- 运动想象分类模型---ATCNet,源代码融合了关于EEGNet,DeepConvNet,ShallowConvNet等多种典型模型作对比☆23Updated last year
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆26Updated last year
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆62Updated 2 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆91Updated last year
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆16Updated last year
- ECLGCNN is an emotion recognition method based on EEG data.☆18Updated last year
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆49Updated 2 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆62Updated 3 years ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆22Updated last year
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆55Updated last year
- ☆29Updated last year
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆24Updated last month
- Attention-Based Temporal Learner With Dynamical Graph Neural Network for EEG Emotion Recognition. [DEAP]&&[MEEG]☆24Updated this week
- official implementation of the PR-PL model (arxiv:https://arxiv.org/abs/2202.06509)☆36Updated 4 months ago
- A template: for deep learning processing BCI-2A-Data, including loading data, preprocessing, training, testing, saving the best model, vi…☆14Updated 7 months ago
- code for LMDA☆66Updated last year
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆120Updated 3 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆86Updated last year
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆58Updated 2 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆34Updated last year
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆34Updated 5 years ago
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆18Updated 3 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆47Updated 3 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆50Updated 3 years ago
- Emotion recognition base on EEG.☆16Updated last year
- ☆60Updated last week
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆49Updated 3 years ago
- ☆13Updated 2 years ago