Alternatives and similar repositories for ECLGCNN

Users that are interested in ECLGCNN are comparing it to the libraries listed below

• xujiayang530 / DGCNN
  pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks
  ☆92Updated 2 years ago
• tju-sun-lab / EEG-ARNN
  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
• NickGreen99 / Emotion-Recognition-EEG-Transformer
  Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model
  ☆32Updated 9 months ago
• luisevogt / Emotion-Recognition-from-EEG-Data-with-Time-Series-Transformers
  My master thesis about emotion recognition from EEG data with a time series transformer
  ☆21Updated last year
• zhangmingjian180 / TS-Transformer
  Emotion recognition base on EEG.
  ☆16Updated 2 years ago
• yff12345 / FB-GCNN
  EEG emotion classification based on Graph CNN and fine-gained algorithm.
  ☆12Updated 4 years ago
• kanhaoning / Self-supervised-group-meiosis-contrastive-learning-for-EEG-based-emotion-recognition
  ☆32Updated 2 years ago
• vsjadhav / SEED_emotion_recognition_with_transfer_learning
  EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V
  ☆34Updated last year
• xueyunlong12589 / DGCNN
  Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch
  ☆108Updated 2 years ago
• qeebeast7 / SFCSAN
  ☆13Updated last year
• wjyu01 / GraphEmotionNet
  A Pytorch implementation of our paper "Adaptive Spatial-Temporal Aware Graph Learning for EEG-based Emotion Recognition".
  ☆17Updated last year
• dunhuiliu / EEG_emotion_recognition
  硕士期间课题研究记录
  ☆17Updated 2 years ago
• Jinminbox / PGCN
  PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition
  ☆61Updated last year
• erinqhu / EEG-motor-imagery
  ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …
  ☆50Updated 4 years ago
• yi-ding-cs / LGG
  [TNNLS-2023] This is the PyTorch implementation of LGGNet.
  ☆111Updated last year
• 2018110060ding / EmotionCaps
  ☆19Updated 4 years ago
• magnumical / GCN_for_EEG
  Graph Convolutional Networks for 4-class EEG Classification
  ☆82Updated 4 years ago
• JoeBao22 / eeg_seed_test
  The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…
  ☆56Updated 2 years ago
• Meltemi-Q / eeg-emotion-recognition-domain-subject-adaptation
  EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset
  ☆39Updated 6 years ago
• chongwar / gnn-eeg
  Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.
  ☆54Updated 4 years ago
• Abhishek-Iyer1 / emotion-classifcation-eeg-seed-ensemble
  Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble
  ☆75Updated 3 years ago
• CFSRgroup / LTS-GAT-model
  A locally temporal-spatial pattern learning graph attention network (LTS-GAT) for EEG emotion recognition.
  ☆12Updated 3 years ago
• CHEN-XDU / GMSS
  This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition
  ☆73Updated 3 years ago
• dolphin-in-a-coma / multi-task-cnn-eeg-emotion
  Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…
  ☆57Updated 2 years ago
• linkingct / gnn-deap-eeg
  http://www.eecs.qmul.ac.uk/mmv/datasets/deap/
  ☆28Updated 4 years ago
• stickOverCarrot / EEGGENET
  ☆13Updated 2 years ago
• bciResearcher / CT-adaptTL
  Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding
  ☆15Updated last year
• ziyujia / SST-EmotionNet
  SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition
  ☆132Updated 3 years ago
• renhong-zhang / eeg-emotion-recognition-with-vit
  Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.
  ☆67Updated 2 years ago
• vipulSharma18 / Automatic-Emotion-Recognition-on-DEAP-Dataset
  The project uses EEG signals from the DEAP Dataset to classify emotions into 4 classes using Ensembled 1-D CNNs, LSTMs and 2D , 3D CNNs a…
  ☆54Updated 2 years ago