Graph learning and topology inference techniques aim to reconstruct network structures from observational data by treating measurements as signals defined on unknown graphs. These approaches draw on ...

Extremal graph theory seeks to determine the maximum or minimum values of graph invariants—such as edge count, degree sequence or subgraph density—subject to the exclusion of particular configurations ...

Classifying a variable as a particular type of data is important when considering how to present the data. Data can be presented in a number of ways, which depends on the type of variable and the uses ...