muzixiang / SI-CLEER
The source code and data for the paper 'A Supervised Information Enhanced Multi-granularity Contrastive Learning Framework for EEG based Emotion Recognition'
☆14Updated last year
Related projects ⓘ
Alternatives and complementary repositories for SI-CLEER
- official implementation of the PR-PL model (arxiv：https://arxiv.org/abs/2202.06509)☆36Updated 4 months ago
- Attention-Based Temporal Learner With Dynamical Graph Neural Network for EEG Emotion Recognition. [DEAP]&&[MEEG]☆24Updated this week
- My master thesis about emotion recognition from EEG data with a time series transformer☆22Updated last year
- ACM MM 2023☆32Updated 3 weeks ago
- ☆29Updated last year
- ☆13Updated this week
- The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…☆29Updated 6 months ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆89Updated last year
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆49Updated 2 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆69Updated last year
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆47Updated 6 months ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆26Updated last year
- [IEEE J-BHI-2024] The PyTorch implementation of MASA-TCN☆26Updated 6 months ago
- The official implementation of the paper "Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Con…☆21Updated 8 months ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆86Updated last year
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆62Updated 2 years ago
- ☆12Updated last year
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆24Updated last month
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆34Updated 5 years ago
- EEG 脑电 数据集 DEAP SEED☆11Updated 2 months ago
- An unofficial pytorch implementation of the BiHDM model proposed by Yang et al. for decoding emotion from multi-channel EEG recordings, w…☆11Updated last year
- [TAFFC-2022] PyTorch implementation of TSception v2☆91Updated last year
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆55Updated last year
- ECLGCNN is an emotion recognition method based on EEG data.☆18Updated last year
- Emotion recognition base on EEG.☆16Updated last year
- Code of paper MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition☆83Updated 8 months ago
- [MICCAI 2024 Acceptance] Feature Fusion Based on Mutual-Cross-Attention Mechanism for EEG Emotion Recognition☆25Updated 5 months ago
- Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding☆13Updated last year
- Support paper for Cross-Subject EEG Emotion Classification based on Few-Label Adversarial Domain Adaption☆24Updated 3 years ago
- ☆27Updated 5 months ago