Abstract: Graph Neural Networks (GNNs) have become a powerful tool in order to learn from graph-structured data. Their ability to capture complex relationships and dependencies within graph structures ...
Abstract: With the explosive growth of data volume and computing capability, federated learning, which involves constructing global models over multiple data islands, has demonstrated its advantages ...
This software package provides the implementation of the WWL-GPR model, a data-efficient, physics-inspired machine learning (ML) model for the prediction of binding motifs and associated adsorption ...
Early life exposures and the risk of inflammatory bowel disease: Systematic review and meta-analyses
aThe Henry D. Janowitz Division of Gastroenterology, Icahn School of Medicine at Mount Sinai, New York, NY, United States bGastroenterology Division, University Hospital of Leuven, Leuven, Belgium ...
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