Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...
For numerous fundamental processes of life, the formation of certain protein patterns is essential. Protein pattern formation controlled by molecular switches is—like many processes in nature—far ...
1 Graduate School of Heilongjiang University of Chinese Medicine, Harbin, China 2 Division of CT and MRI, First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China ...
Abstract: Social recommendation integrates social networks into the recommendation task, leveraging social relationships to improve the recommendation performance and alleviate the data sparsity issue ...
Graph neural networks in Alzheimer's disease diagnosis: a review of unimodal and multimodal advances
Alzheimer's Disease (AD), a leading neurodegenerative disorder, presents significant global health challenges. Advances in graph neural networks (GNNs) offer promising tools for analyzing multimodal ...
Abstract: Despite advancements using graph neural networks (GNNs) to capture complex user-item interactions, challenges persist due to data sparsity and noise. To address these, self-supervised ...
The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jcim.5c01525. Efficiency analysis of different normalization strategies ...
Scientists at UCSF combined advanced brain-network modeling, genetics, and imaging to reveal how tau protein travels through neural highways and how certain genes either accelerate its toxic journey ...
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