greeyun / DGGNLinks
☆17Updated 6 months ago
Alternatives and similar repositories for DGGN
Users that are interested in DGGN are comparing it to the libraries listed below
Sorting:
- official implementation of the PR-PL model (arxiv：https://arxiv.org/abs/2202.06509)☆42Updated last year
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆93Updated 2 years ago
- The source code and data for the paper 'A Supervised Information Enhanced Multi-granularity Contrastive Learning Framework for EEG based …☆17Updated last year
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆63Updated last year
- [TAFFC-2022] PyTorch implementation of TSception v2☆128Updated last year
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆75Updated 3 years ago
- code for LMDA☆84Updated 2 years ago
- The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…☆54Updated 3 months ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆113Updated last year
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆109Updated 2 years ago
- ☆17Updated 2 years ago
- LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition☆84Updated last month
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆68Updated 2 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆50Updated 4 years ago
- The code for Multi-Scale Hyperbolic Contrastive Learning for Cross-Subject EEG Emotion Recognition.☆14Updated last month
- 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☆26Updated 2 years ago
- ☆21Updated 2 years ago
- ☆32Updated 2 years ago
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆50Updated 2 months ago
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆19Updated 2 years ago
- ☆23Updated 2 years ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆21Updated 2 years ago
- ☆37Updated 9 months ago
- MAS-DGAT-Net: A Dynamic Graph Attention Network with Multibranch Feature Extraction and Staged Fusion for EEG Emotion Recognition☆13Updated 10 months ago
- ☆28Updated 2 years ago
- Code of paper MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition☆100Updated last year
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆72Updated 4 months ago
- An unofficial pytorch implementation of the BiHDM model proposed by Yang et al. for decoding emotion from multi-channel EEG recordings, w…☆14Updated 2 years ago
- ☆38Updated 3 weeks ago
- The paper is being submitted☆18Updated 2 years ago