Core decomposition is a fundamental graph problem with a large number of applications. Most existing approaches for core decomposition assume that the graph is kept in memory of a machine.

A graph neural network (GNN) is a class of neural networks for processing data represented by graph data structures. They were popularized by their use in supervised learning on properties of various ...

Using variable speed drives on pumps reduces parasitic energy loss, enables proper maintenance and lowers capital costs.

1975 Topics mathematics, problems and solutions, algebra, calculus, geometry, series, differential equations, line integrals, double integrals, quadratic equations, solid geometry, plane geometry, ...