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'
☆17Updated 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)☆44Updated last year
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆96Updated 2 years ago
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆56Updated last month
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆119Updated 2 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆134Updated 2 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆70Updated last year
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆36Updated 3 months ago
- BIBM 24, mixture of graph experts for cross-subject EEG emotion recognitions☆12Updated 6 months ago
- [TNNLS-2025] This is the pytorch implementation of EmT, a graph-transformer for EEG emotion recognition.☆73Updated 2 months ago
- ☆32Updated 2 years ago
- The code for Multi-Scale Hyperbolic Contrastive Learning for Cross-Subject EEG Emotion Recognition.☆16Updated 3 months ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆80Updated 3 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆113Updated 2 years ago
- ☆17Updated 8 months ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆22Updated 2 years ago
- MAS-DGAT-Net: A Dynamic Graph Attention Network with Multibranch Feature Extraction and Staged Fusion for EEG Emotion Recognition☆15Updated last year
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆73Updated 2 years ago
- [IEEE J-BHI-2024] The PyTorch implementation of MASA-TCN☆43Updated 10 months ago
- This is the PyTorch implementation of the FBSTCNet-M architecture for EEG-based emotion classification.☆19Updated 10 months 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☆27Updated 2 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆42Updated 6 years 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
- EEG-based Emotion Recognition via Channel-wise Attention and Self Attention☆14Updated 5 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆81Updated 3 years ago
- Support paper for Cross-Subject EEG Emotion Classification based on Few-Label Adversarial Domain Adaption☆28Updated 4 years ago
- The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…☆62Updated 5 months ago
- ☆17Updated 2 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆55Updated 3 years ago
- ☆39Updated 11 months ago
- The official implementation of the paper "Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Con…☆30Updated 5 months ago