Here we introduce a new shorthand nomenclature for designating the disaccharide subunit structure of all glycosaminoglycans as a way to compare compositions and describe linear sequences. Each ...

To address the issue of GNSS signal failure, this article presents an enhanced vehicle self-positioning method based on factor graph optimization (FGO) and convolutional neural network (CNN)-long ...

Graphs are a powerful data structure for representing relational data, and Graph Neural Networks (GNNs) have emerged as effective tools for inference and learning on graph-structured data.

Learn the advantages and disadvantages of BFS and DFS for graph traversal, and how to decide which one to use based on your problem and graph.

2.3. Graphical Representation of Spin Functions, Operators, and Their Matrix Elements In this section we introduce graphical methods for manipulating angular momentum expressions and apply them to eqs ...