IEEE

Community Detection via Autoencoder-Like Nonnegative Tensor Decomposition

Abstract: Community detection aims at partitioning a network into several densely connected subgraphs. Recently, nonnegative matrix factorization (NMF) has been widely adopted in many successful ...
IEEE

Uncorrelated Sparse Autoencoder With Long Short-Term Memory for State-of-Charge Estimations in Lithium-Ion Battery Cells

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 ...
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 ...
GitHub

Deep Learning with PyTorch

This eBook not only focuses on the explanation of theoretical knowledge, but also pays more attention to engineering practice. By combining a large number of practical cases, especially how to train, ...