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 ...
When using React Flow’s NodeResizer, the cursor changes from an 'arrow' to the default 'drag' cursor when dragging a line or corner to resize a node, which creates a jarring user experience. Please ...
This work investigates the ability of graph neural networks (GNNs) to homogenize 2D fiber composite microstructures. We use different inhomogeneity and anisotropy indices to motivate and show that the ...
Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...
Abstract: In recent years, reconstructing features and learning node representations by graph autoencoders (GAE) have attracted much attention in deep graph node clustering. However, existing works ...
Graph Neural Networks GNNs are advanced tools for graph classification, leveraging neighborhood aggregation to update node representations iteratively. This process captures local and global graph ...
Most distributed graph analytics systems such as Gemini, Gluon, and SympleGraph support a computational model in which node properties are updated iteratively using properties of adjacent neighbors of ...
The single-step retrosynthesis (SSR) (1) is an essential operation in organic chemistry involving the reversed synthesis of a target product or intermediate in a single step. To achieve automatic ...
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