CFSRgroup / LTS-GAT-model
A locally temporal-spatial pattern learning graph attention network (LTS-GAT) for EEG emotion recognition.
☆11Updated 2 years ago
Alternatives and similar repositories for LTS-GAT-model:
Users that are interested in LTS-GAT-model are comparing it to the libraries listed below
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆47Updated 8 months 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☆73Updated 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 2 years ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆23Updated last year
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆93Updated last year
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆28Updated last year
- We propose a time-aware sampling network (TAS-Net) using deep reinforcement learning (DRL) for unsupervised emotion recognition, which is…☆19Updated last year
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆47Updated 3 years ago
- ☆31Updated last year
- EEG 脑电 数据集 DEAP SEED☆15Updated 4 months ago
- http://www.eecs.qmul.ac.uk/mmv/datasets/deap/☆28Updated 3 years ago
- A Graph Convolutional Network Approach for Depression Detection using EEG based Brain Networks☆19Updated 4 years ago
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆51Updated 3 years ago
- EEG emotion classification based on Graph CNN and fine-gained algorithm.☆12Updated 4 years ago
- Implementation of the ST-GAT (Spatio-Temporal Graph Attention Network) for the detection and analysis of neonatal seizures using EEG, as …☆9Updated last year
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆66Updated 2 years ago
- Emotion recognition base on EEG.☆16Updated last year
- 硕士期间课题研究记录☆17Updated last year
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆66Updated 3 years ago
- This repository contains the code for our proposed method "Multi-source Feature Alignment and Label Rectification" (MFA-LR), which has be…☆16Updated last year
- ☆16Updated last year
- official implementation of the PR-PL model (arxiv：https://arxiv.org/abs/2202.06509)☆38Updated 6 months ago
- 使用4D切片方式，利用深度学习从时、频、空间域进行EEG情绪识别解码☆18Updated last year
- ☆18Updated 4 years ago
- the implementation of multimodal emtion recognizer —— CTCNe which is proposed in "Learning Regional-Level Feature Fusion and Sentiment-Re…☆17Updated 4 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆57Updated last year
- Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding☆13Updated last year
- The source code and data for the paper 'A Supervised Information Enhanced Multi-granularity Contrastive Learning Framework for EEG based …☆15Updated last year
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆27Updated 3 months ago