linkingct / gnn-deap-eeg
http://www.eecs.qmul.ac.uk/mmv/datasets/deap/
☆28Updated 4 years ago
Alternatives and similar repositories for gnn-deap-eeg:
Users that are interested in gnn-deap-eeg are comparing it to the libraries listed below
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆52Updated 3 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆55Updated last year
- 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
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆106Updated 2 years ago
- Graph Convolutional Networks for 4-class EEG Classification☆79Updated 4 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆50Updated 3 years ago
- ☆30Updated 2 years ago
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Updated 3 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆32Updated last year
- Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity☆39Updated 4 years ago
- EEG emotion classification based on Graph CNN and fine-gained algorithm.☆12Updated 4 years ago
- ☆13Updated 2 years ago
- ECLGCNN is an emotion recognition method based on EEG data.☆19Updated last year
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆91Updated last year
- ☆18Updated 4 years ago
- ☆14Updated 2 years ago
- Support paper for Cross-Subject EEG Emotion Classification based on Few-Label Adversarial Domain Adaption☆26Updated 3 years ago
- A Pytorch implementation of our paper "Adaptive Spatial-Temporal Aware Graph Learning for EEG-based Emotion Recognition".☆16Updated last year
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆30Updated 7 months ago
- the implementation of multimodal emtion recognizer —— CTCNe which is proposed in "Learning Regional-Level Feature Fusion and Sentiment-Re…☆19Updated 4 years ago
- A Graph Convolutional Network Approach for Depression Detection using EEG based Brain Networks☆20Updated 4 years ago
- This is a final project for my 2019 Winter course "Pattern Recognition".☆25Updated 4 years ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆21Updated last year
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆72Updated 3 years ago
- Public Models considered for emotion estimation from EEG☆34Updated 2 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆37Updated last year
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆106Updated last year
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆53Updated 2 years ago
- ☆86Updated 5 months ago
- Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition☆39Updated 4 years ago