Miracle-2001 / GNN4EEGLinks
☆87Updated 6 months ago
Alternatives and similar repositories for GNN4EEG
Users that are interested in GNN4EEG are comparing it to the libraries listed below
Sorting:
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆108Updated last year
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆57Updated last year
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆92Updated last year
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆107Updated 2 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆67Updated last month
- official implementation of the PR-PL model (arxiv：https://arxiv.org/abs/2202.06509)☆39Updated 11 months ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆71Updated 3 years ago
- ☆36Updated last year
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆52Updated 3 years ago
- ☆20Updated last year
- [TNNLS-2025] This is the pytorch implementation of EmT, a graph-transformer for EEG emotion recognition.☆49Updated last month
- This is the PyTorch implementation of the FBSTCNet-M architecture for EEG-based emotion classification.☆18Updated 5 months ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆72Updated 3 years ago
- code for LMDA☆80Updated last year
- [TAFFC-2022] PyTorch implementation of TSception v2☆119Updated last year
- http://www.eecs.qmul.ac.uk/mmv/datasets/deap/☆28Updated 4 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆30Updated 8 months ago
- LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition☆76Updated 6 months ago
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆48Updated last week
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆50Updated 4 years ago
- ☆30Updated 2 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆33Updated last year
- ☆15Updated 2 years ago
- ECLGCNN is an emotion recognition method based on EEG data.☆19Updated 2 years ago
- The source code and data for the paper 'A Supervised Information Enhanced Multi-granularity Contrastive Learning Framework for EEG based …☆15Updated last year
- My master thesis about emotion recognition from EEG data with a time series transformer☆21Updated last year
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆23Updated 3 weeks ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆66Updated 2 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆38Updated last year
- ☆25Updated 2 years ago