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 proposed approach allows precise and independent control of average composition, slope, and curvature of full concentration gradients in high-nickel cathodes, resulting in lithium-ion batteries ...
Abstract: Text classification is a critical task for understanding the knowledge behind text, especially in medical text. In this paper, we propose a medical graph diffusion model, named the MGD model ...
Key Laboratory of Advanced Fuel Cells and Electrolyzers Technology of Zhejiang Province, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, P. R.
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Physics-informed neural networks were tested for their capabilities in predicting concentration profiles in gradient liquid chromatography. Rzeszow University of Technology researchers based in ...
Graph generation is a complex problem that involves constructing structured, non-Euclidean representations while maintaining meaningful relationships between entities. Most current methods fail to ...
Carbon capture, storage and utilization (CCUS) is an important technology for meeting global carbon emission reduction targets. The development of CO 2 transportation, as a link in the CCUS industry ...
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