muzixiang / SI-CLEERLinks
The source code and data for the paper 'A Supervised Information Enhanced Multi-granularity Contrastive Learning Framework for EEG based Emotion Recognition'
☆18Updated 2 years ago
Alternatives and similar repositories for SI-CLEER
Users that are interested in SI-CLEER are comparing it to the libraries listed below
Sorting:
- official implementation of the PR-PL model (arxiv：https://arxiv.org/abs/2202.06509)☆51Updated last year
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆97Updated 2 years ago
- [TNNLS-2025] This is the pytorch implementation of EmT, a graph-transformer for EEG emotion recognition.☆84Updated 4 months ago
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆60Updated 3 months ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆147Updated 2 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆82Updated 3 years ago
- BIBM 24, mixture of graph experts for cross-subject EEG emotion recognitions☆14Updated 8 months ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆123Updated 2 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆73Updated last year
- ☆32Updated 2 years ago
- The code for Multi-Scale Hyperbolic Contrastive Learning for Cross-Subject EEG Emotion Recognition.☆18Updated 5 months ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆22Updated 2 years ago
- [IEEE J-BHI-2024] The PyTorch implementation of MASA-TCN☆45Updated last year
- MAS-DGAT-Net: A Dynamic Graph Attention Network with Multibranch Feature Extraction and Staged Fusion for EEG Emotion Recognition☆21Updated last year
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆117Updated 2 years ago
- ☆19Updated 10 months ago
- An unofficial pytorch implementation of the BiHDM model proposed by Yang et al. for decoding emotion from multi-channel EEG recordings, w…☆15Updated 2 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆38Updated 5 months ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆77Updated 2 years ago
- ☆43Updated last year
- Official PyTorch repository for multimodal emotion recognition wih hypercomplex models (ICASSPW 2023, RTSI 2024, MLSP 2024)☆85Updated 7 months ago
- This is the PyTorch implementation of the FBSTCNet-M architecture for EEG-based emotion classification.☆23Updated last year
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆53Updated 4 years ago
- ☆23Updated 2 years ago
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆139Updated 4 years ago
- EEG-based Emotion Recognition via Channel-wise Attention and Self Attention☆15Updated 5 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
- The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…☆65Updated 7 months ago
- ☆21Updated 2 years ago
- ☆100Updated last year