In its official statement, the agency noted, “The National Testing Agency (NTA) is in receipt of various representations from ...

Graph representation learning has been extensively studied in recent years. It has been proven effective in network analysis and mining tasks such as node classification and link prediction. Learning ...

First, the model constructs a scalable neural network with shared hidden layers for exploring a low-dimensional representations of all views. Second, the quality of representation matrix is evaluated ...

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 ...