IEEE

Path-Following Control Capable of Reinforcing Transient Performances for Networked Mobile Robots Over a Single Curve

Abstract: This article proposes a path-following control capable of reinforcing transient performances for networked mobile robots over a single curve. By resorting ...
IEEE

EEG-GCN: Spatio-Temporal and Self-Adaptive Graph Convolutional Networks for Single and Multi-View EEG-Based Emotion Recognition

Abstract: Graph networks are naturally suitable for modeling multi-channel features of EEG signals. However, the existing study that attempts to utilize graph-based neural networks for EEG-based ...
GitHub

scVAG: Unified Single-Cell Clustering via Variational-Autoencoder Integration with Graph Attention Autoencoder

scVAG is an innovative framework that integrates Variational Autoencoder (VAE) and Graph Attention Autoencoder (GATE) models for enhanced analysis of single-cell gene expression data. Built upon the ...