Variational methods on graphs extend the classical calculus of variations to discrete structures, treating vertices and edges as the domain for differential‐like operators. By associating an energy ...

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 ...