LGong666 / EEG_ACTNNLinks
☆12Updated 2 years ago
Alternatives and similar repositories for EEG_ACTNN
Users that are interested in EEG_ACTNN are comparing it to the libraries listed below
Sorting:
- ☆17Updated 2 years ago
- residual deep cnn and lstm for classifying SEED data☆13Updated 2 years ago
- ECLGCNN is an emotion recognition method based on EEG data.☆19Updated 2 years ago
- ☆102Updated last year
- [TNNLS-2025] This is the pytorch implementation of EmT, a graph-transformer for EEG emotion recognition.☆90Updated 3 weeks ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆100Updated 2 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆81Updated 2 weeks ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆126Updated 2 years ago
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆22Updated 3 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆38Updated 6 months ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆75Updated last year
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆54Updated 4 years ago
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆67Updated 4 months ago
- ☆40Updated last year
- ☆29Updated last year
- A locally temporal-spatial pattern learning graph attention network (LTS-GAT) for EEG emotion recognition.☆12Updated 3 years ago
- code for LMDA☆87Updated 2 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆78Updated 2 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆147Updated 2 years ago
- 运动想象分类模型---ATCNet,源代码融合了关于EEGNet,DeepConvNet,ShallowConvNet等多种典型模型作对比☆28Updated 2 years ago
- MAS-DGAT-Net: A Dynamic Graph Attention Network with Multibranch Feature Extraction and Staged Fusion for EEG Emotion Recognition☆22Updated last year
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆118Updated 2 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆83Updated 3 years ago
- This is the PyTorch implementation of the FBSTCNet-M architecture for EEG-based emotion classification.☆23Updated last year
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆31Updated 8 months ago
- ☆35Updated last year
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆91Updated 3 years ago
- BIBM 24, mixture of graph experts for cross-subject EEG emotion recognitions☆15Updated 9 months ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆22Updated 2 years ago
- ☆32Updated 2 years ago