zhongpeixiang / RGNNLinks
The model for the paper "EEG-Based Emotion Recognition Using Regularized Graph Neural Networks"
☆210Updated 5 years ago
Alternatives and similar repositories for RGNN
Users that are interested in RGNN are comparing it to the libraries listed below
Sorting:
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆136Updated 4 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆113Updated 2 years ago
- Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity☆43Updated 5 years ago
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆181Updated 3 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆57Updated 3 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆81Updated 3 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆96Updated 2 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆37Updated 3 months ago
- 在 SEED 数据集上做 EEG 情绪识别☆119Updated 5 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆119Updated 2 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆43Updated 6 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆91Updated 7 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆141Updated last year
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆72Updated last year
- This repository contains the tensorflow implementation for our ICONIP-2018 paper: "Continuous Convolutional Neural Network with 3D Input …☆59Updated 2 years ago
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆87Updated 6 years ago
- Official implementation of the paper "GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition"☆76Updated 3 years ago
- Public Models considered for emotion estimation from EEG☆34Updated 3 years ago
- Code for paper MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition☆103Updated 3 weeks ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆137Updated 2 years ago
- Code for extracting DE (differential entropy) and PSD (power spectral density) feature of signals.☆82Updated 5 years ago
- ☆20Updated 5 years ago
- Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EE…☆130Updated 5 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆83Updated 3 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆82Updated 4 years ago
- EEG Emotion classification using the DEAP pre-processed data☆161Updated 7 years ago
- Graph Convolutional Networks for 4-class EEG Classification☆86Updated 5 years ago
- PyTorch implementation of TSception☆82Updated 2 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆96Updated 2 years ago
- The project uses EEG signals from the DEAP Dataset to classify emotions into 4 classes using Ensembled 1-D CNNs, LSTMs and 2D , 3D CNNs a…☆59Updated 2 years ago