JiangChang-BRAIN / MSHCLLinks
The code for Multi-Scale Hyperbolic Contrastive Learning for Cross-Subject EEG Emotion Recognition.
☆18Updated 5 months ago
Alternatives and similar repositories for MSHCL
Users that are interested in MSHCL 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
- The source code and data for the paper 'A Supervised Information Enhanced Multi-granularity Contrastive Learning Framework for EEG based …☆18Updated 2 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆125Updated 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
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆74Updated last year
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆63Updated 3 months ago
- BIBM 24, mixture of graph experts for cross-subject EEG emotion recognitions☆14Updated 8 months ago
- ☆19Updated 2 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆117Updated 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
- ☆19Updated 10 months ago
- The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…☆70Updated 8 months ago
- ☆32Updated 2 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆97Updated 2 years ago
- This repository contains the python scripts developed as a part of the work presented in the paper "STAnet: A Spatiotemporal Attention Ne…☆15Updated 2 years ago
- MAS-DGAT-Net: A Dynamic Graph Attention Network with Multibranch Feature Extraction and Staged Fusion for EEG Emotion Recognition☆21Updated last year
- Code for paper MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition☆107Updated 2 months ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆147Updated 2 years ago
- [TNNLS-2025] This is the pytorch implementation of EmT, a graph-transformer for EEG emotion recognition.☆89Updated last week
- ☆101Updated last year
- the implementation of multimodal emtion recognizer —— CTCNe which is proposed in "Learning Regional-Level Feature Fusion and Sentiment-Re…☆19Updated 5 years ago
- ☆43Updated last year
- The paper is being submitted☆20Updated 2 years ago
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆25Updated last year
- A Pytorch implementation of our paper "Adaptive Spatial-Temporal Aware Graph Learning for EEG-based Emotion Recognition".☆17Updated 2 years ago
- [TIM 2024] The official implementation for the paper "Affective EEG-based Person Identification with Continual Learning"☆15Updated last year
- My master thesis about emotion recognition from EEG data with a time series transformer☆22Updated 2 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
- Official PyTorch repository for multimodal emotion recognition wih hypercomplex models (ICASSPW 2023, RTSI 2024, MLSP 2024)☆88Updated 8 months ago
- [IEEE J-BHI-2024] The PyTorch implementation of MASA-TCN☆45Updated last year