UESTC-BAC / BF-GCNLinks
This project is the code of BF-GCN. The paper has been accepted by IEEE Transactions on Neural Networks and Learning Systems.
☆17Updated 11 months ago
Alternatives and similar repositories for BF-GCN
Users that are interested in BF-GCN are comparing it to the libraries listed below
Sorting:
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆57Updated last year
- My master thesis about emotion recognition from EEG data with a time series transformer☆21Updated last year
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆92Updated last year
- ☆30Updated 2 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆72Updated 3 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆108Updated last year
- EEG 脑电 数据集 DEAP SEED☆30Updated this week
- Graph to Grid: Learning Deep Representations for Multimodal Emotion Recognition☆13Updated last year
- The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"☆15Updated 3 years ago
- LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition☆76Updated 6 months ago
- ☆13Updated last year
- EEG-based Emotion Recognition via Channel-wise Attention and Self Attention☆12Updated 4 years ago
- Emotion recognition base on EEG.☆16Updated 2 years ago
- ECLGCNN is an emotion recognition method based on EEG data.☆19Updated 2 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆71Updated 3 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆30Updated 8 months ago
- Using Capsule Network for EEG emotion classification using Digit-Caps model☆11Updated 2 years ago
- the implementation of multimodal emtion recognizer —— CTCNe which is proposed in "Learning Regional-Level Feature Fusion and Sentiment-Re…☆19Updated 4 years ago
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆48Updated last week
- ☆22Updated last year
- ☆28Updated 6 months ago
- official implementation of the PR-PL model (arxiv:https://arxiv.org/abs/2202.06509)☆39Updated 11 months ago
- [TNNLS-2025] This is the pytorch implementation of EmT, a graph-transformer for EEG emotion recognition.☆49Updated last month
- MPED: A Multi-Modal Physiological Emotion Database for Discrete Emotion☆40Updated 4 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆23Updated 3 weeks ago
- [IEEE J-BHI-2024] The PyTorch implementation of MASA-TCN☆39Updated 5 months ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆66Updated 2 years ago
- The official implementation of the paper "Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Con…☆27Updated last month
- [TAFFC-2022] PyTorch implementation of TSception v2☆119Updated last year
- A fundamental exploration about EEG-BCI emotion recognition using the SEED dataset & dataset from kaggle.☆10Updated last year