EEG emotion classification based on Graph CNN and fine-gained algorithm.
☆12Dec 11, 2020Updated 5 years ago
Alternatives and similar repositories for FB-GCNN
Users that are interested in FB-GCNN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A Pytorch implementation of our paper "Adaptive Spatial-Temporal Aware Graph Learning for EEG-based Emotion Recognition".☆17Jan 8, 2024Updated 2 years ago
- Graph Convolutional Networks for 4-class EEG Classification☆85Sep 24, 2020Updated 6 years ago
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆21Dec 18, 2022Updated 3 years ago
- GCN with MNE input and preprocessing☆10Sep 27, 2020Updated 6 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆54May 20, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆57Jun 15, 2021Updated 5 years ago
- Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Grap…☆183Oct 8, 2022Updated 4 years ago
- Source code for Findings of EMNLP2020 paper Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation.☆59Nov 11, 2020Updated 5 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆84Apr 7, 2022Updated 4 years ago
- http://www.eecs.qmul.ac.uk/mmv/datasets/deap/☆28Mar 1, 2021Updated 5 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆128May 3, 2023Updated 3 years ago
- TensorFlow implementation of CapsNet☆10Apr 3, 2020Updated 6 years ago
- the implementation of multimodal emtion recognizer —— CTCNe which is proposed in "Learning Regional-Level Feature Fusion and Sentiment-Re…☆19Jul 26, 2020Updated 6 years ago
- ☆12Jan 6, 2022Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆12Jun 12, 2024Updated 2 years ago
- GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)☆79Nov 10, 2023Updated 2 years ago
- 使用的pytorch编写的eegnet代码，方便现在进行调试☆29Sep 12, 2023Updated 3 years ago
- 包含一些单独的文件☆12Aug 9, 2023Updated 3 years ago
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆108Jun 21, 2023Updated 3 years ago
- ECLGCNN is an emotion recognition method based on EEG data.☆19Jun 5, 2023Updated 3 years ago
- Official code on "Visual-to-EEG cross-modal knowledge distillation for continuous emotion recognition", Pattern Recognition 2022.☆19Jun 29, 2022Updated 4 years ago
- EEG emotion recognition with graph isomorphism network (GIN)☆11Oct 10, 2023Updated 3 years ago
- Using CNN-LSTM for emotion recognition based on EEG signals☆12May 2, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- My master thesis about emotion recognition from EEG data with a time series transformer☆22Aug 1, 2023Updated 3 years ago
- A Novel Skin Cancer Assisted Diagnosis Method based on Capsule Networks with CBAM☆19Dec 26, 2025Updated 10 months ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆39Aug 20, 2023Updated 3 years ago
- EEG Signal Classification using LSTM on various datasets☆12Jun 14, 2020Updated 6 years ago
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆64Apr 27, 2023Updated 3 years ago
- Using Capsule Network for EEG emotion classification using Digit-Caps model☆10Apr 30, 2023Updated 3 years ago
- ATHENA (Automatic Toolbox for Handling Experimental Neural Analysis)☆10Apr 10, 2022Updated 4 years ago
- Motor Imagery Classification using Attention based Parallel CNN-LSTM architecture. Dataset used: PhysioNet Motor Imagery Dataset☆12Aug 12, 2020Updated 6 years ago
- Implementation of the ST-GAT (Spatio-Temporal Graph Attention Network) for the detection and analysis of neonatal seizures using EEG, as …☆10Oct 10, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Using Deep Learning techniques to classify Motor Imagery Electroencephalography (EEG) signals☆11Oct 26, 2022Updated 4 years ago
- ☆22Oct 29, 2019Updated 7 years ago
- PyTorch implementation of "Efficient-CapsNet: Capsule Network with Self-Attention Routing" (Mazzia et al., 2021).☆20Aug 14, 2025Updated last year
- The source code and data for the paper 'A Supervised Information Enhanced Multi-granularity Contrastive Learning Framework for EEG based …☆17Oct 5, 2023Updated 3 years ago
- Used LSTM Network to classify eeg signals based on stimuli the subject recieved (visual or audio)☆15Dec 12, 2017Updated 8 years ago
- EEG time-series data analysis including ERPs, time-frequency analysis, statistics and classification☆17Oct 22, 2018Updated 8 years ago
- This repository compares typical and advanced modeling approaches for EEG Emotion Recognition.☆29Sep 18, 2022Updated 4 years ago