greeyun / DGGN
☆12Updated last year
Related projects ⓘ
Alternatives and complementary repositories for DGGN
- The source code and data for the paper 'A Supervised Information Enhanced Multi-granularity Contrastive Learning Framework for EEG based …☆14Updated last year
- official implementation of the PR-PL model (arxiv：https://arxiv.org/abs/2202.06509)☆36Updated 4 months ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆67Updated last year
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆89Updated last year
- This paper was submitted to ICASSP 2023: Exploiting Interactivity and Heterogeneity for Sleep Stage Classification via Heterogeneous Grap…☆24Updated last year
- ☆13Updated 4 months ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆62Updated 2 years ago
- code for LMDA☆65Updated last year
- The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…☆27Updated 5 months ago
- ☆27Updated 5 months ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆86Updated last year
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆45Updated 6 months ago
- ☆29Updated last year
- [TAFFC-2022] PyTorch implementation of TSception v2☆91Updated last year
- ☆14Updated last year
- [IEEE J-BHI-2024] The PyTorch implementation of MASA-TCN☆25Updated 5 months ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆54Updated last year
- ACM MM 2023☆30Updated 2 weeks ago
- This is a community implementation of EEG-ConvTransformer☆17Updated last year
- ☆21Updated last year
- IEEE Transactions on Affective Computing, 2022☆24Updated 11 months ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆22Updated last year
- We propose a time-aware sampling network (TAS-Net) using deep reinforcement learning (DRL) for unsupervised emotion recognition, which is…☆19Updated last year
- The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"☆12Updated 2 years ago
- ☆20Updated last year
- ☆23Updated 2 months ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆24Updated last month
- ☆59Updated this week
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆12Updated 3 months ago
- A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BCI)☆34Updated 5 months ago