GraphRAG is a retrieval method that uses knowledge graphs to store and manage structured data, serving as an alternative to VectorRAG (Vector Retrieval Augmented Generation).

Designing bioactive molecules with desired properties for specific targets is a longstanding challenge in drug design. We introduce a model called BiAtt-GVAE, which incorporates a conditional to more ...

The Forex Charts offer over 6,000 graphs in real-time with Forex Interbank rates, Cryptocurrencies, Commodities, Equity Indices and US stocks. It includes 19 time frames and flexible line tools.

Spectral unmixing is an important technique in remote sensing for analyzing hyperspectral images to identify endmembers and estimate fractional abundance maps. Over the past few decades, significant ...

A transfer-learned hierarchical variational autoencoder model for computational design of anticancer peptides. Hossein Abbasi, Mahdi Malekpour, Shahin Yaghoobi, Sina Abdous, Mohammad Hossein Rohban, ...

They are then individually fed into a multiview shared graph autoencoder, where clustering labels guide the learning of latent representations and the coefficient matrix. Furthermore, the proposed ...

Citation: Frontiers Production Office (2025) Erratum: Graph-informed convolutional autoencoder to classify brain responses during sleep. Front. Neurosci. 19:1627975. doi: 10.3389/fnins.2025.1627975 ...