YangLibuaa / STS-HGCN-ALLinks
The model for the paper “Spatio-Temporal-Spectral Hierarchical Graph Convolutional Network With Semisupervised Active Learning for Patient-Specific Seizure Prediction”
☆17Updated 4 years ago
Alternatives and similar repositories for STS-HGCN-AL
Users that are interested in STS-HGCN-AL are comparing it to the libraries listed below
Sorting:
- A Pytorch implementation of our paper "Adaptive Spatial-Temporal Aware Graph Learning for EEG-based Emotion Recognition".☆17Updated last year
- A locally temporal-spatial pattern learning graph attention network (LTS-GAT) for EEG emotion recognition.☆12Updated 3 years ago
- This repository contains the code for our proposed method "Multi-source Feature Alignment and Label Rectification" (MFA-LR), which has be…☆20Updated 2 years ago
- Different methods(STFT, CWT) transform EEG signal into image visualization☆14Updated 4 years ago
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆19Updated 2 years ago
- paper for “Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification”☆14Updated 4 years ago
- Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification.☆77Updated 3 months ago
- Transfer learning for multi source EEG-emotion-classification☆14Updated 4 years ago
- ☆19Updated 4 years ago
- ☆13Updated last year
- Code of paper MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition☆98Updated last year
- Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity☆41Updated 5 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆108Updated 2 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆61Updated last year
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆11Updated 3 years ago
- Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition☆40Updated 5 years ago
- ECLGCNN is an emotion recognition method based on EEG data.☆19Updated 2 years ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆30Updated 4 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆92Updated 2 years ago
- We propose a time-aware sampling network (TAS-Net) using deep reinforcement learning (DRL) for unsupervised emotion recognition, which is…☆19Updated last year
- http://www.eecs.qmul.ac.uk/mmv/datasets/deap/☆28Updated 4 years ago
- [IEEE J-BHI-2024] The PyTorch implementation of MASA-TCN☆40Updated 6 months ago
- The code for Multi-Scale Hyperbolic Contrastive Learning for Cross-Subject EEG Emotion Recognition.☆13Updated last year
- This paper was submitted to ICASSP 2023: Exploiting Interactivity and Heterogeneity for Sleep Stage Classification via Heterogeneous Grap…☆24Updated 2 years ago
- ☆20Updated 2 years ago
- Offical repository of the paper "EEG-DG：A Multi-Source Domain Generalization Framework for Motor Imagery EEG Classification" .☆23Updated 2 months 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☆73Updated 3 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆50Updated 4 years ago
- The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…☆50Updated last month