GitHub

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

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 ...
GitHub

Multiple Operator Kolmogorov-Arnold Network (MultiOKAN)

Codes for training of Multiple Operator Kolmogorov-Arnold Network (MultiOKAN). The present framework delivers end-to-end, data-driven prediction of multiphase flow evolution from initial ...
IEEE

Autoencoder-Augmented Graph Neural Networks for Accurate and Scalable Structure Recognition ...

Abstract: The increasing complexity of Analog/Mixed-Signal (AMS) schematics has been posing significant challenges in structure recognition, particularly in the intellectual property (IP) industry, ...
IEEE

Uncorrelated Sparse Autoencoder With Long Short-Term Memory for State-of-Charge Estimations ...

Abstract: For the safe and reliable operation of battery-driven machines, accurate state-of-charge (SOC) estimations are necessary. Unfortunately, existing methods often fail to identify patterns ...