linkingct / gnn-deap-eegLinks
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
Sorting:
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆54Updated 4 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆63Updated last year
- Graph Convolutional Networks for 4-class EEG Classification☆83Updated 4 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆109Updated 2 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
- Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity☆42Updated 5 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆75Updated 3 years ago
- ☆32Updated 2 years ago
- EEG emotion classification based on Graph CNN and fine-gained algorithm.☆12Updated 4 years ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆21Updated 2 years ago
- ☆13Updated last year
- 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
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆177Updated 2 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆93Updated 2 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆113Updated last year
- Code of paper MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition