Jinminbox / PGCN
PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition
☆49Updated 9 months ago
Alternatives and similar repositories for PGCN:
Users that are interested in PGCN are comparing it to the libraries listed below
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆78Updated last year
- http://www.eecs.qmul.ac.uk/mmv/datasets/deap/☆28Updated 3 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆66Updated 2 years ago
- My master thesis about emotion recognition from EEG data with a time series transformer☆22Updated last year
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆97Updated last year
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆51Updated 3 years ago
- ☆30Updated last year
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆98Updated last year
- official implementation of the PR-PL model (arxiv：https://arxiv.org/abs/2202.06509)☆39Updated 7 months ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆26Updated 4 months ago
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆16Updated 2 years ago
- ECLGCNN is an emotion recognition method based on EEG data.☆19Updated last year
- The official code implementation for "DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mut…☆38Updated 9 months ago
- Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity☆38Updated 4 years ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆46Updated 3 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆29Updated last year
- code for LMDA☆71Updated last year
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆35Updated last year
- [TAFFC-2022] PyTorch implementation of TSception v2☆101Updated last year
- A Graph Convolutional Network Approach for Depression Detection using EEG based Brain Networks☆18Updated 4 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆66Updated 2 years ago
- ☆16Updated last year
- Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding☆14Updated last year
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆50Updated 2 years ago
- ☆18Updated 3 months ago
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆40Updated 3 months ago
- The source code and data for the paper 'A Supervised Information Enhanced Multi-granularity Contrastive Learning Framework for EEG based …☆14Updated last year
- the implementation of multimodal emtion recognizer —— CTCNe which is proposed in "Learning Regional-Level Feature Fusion and Sentiment-Re…☆17Updated 4 years ago
- ☆12Updated last year