Graph partitioning and bisection represent fundamental questions in combinatorial optimisation, concerned with dividing the vertices of a graph into disjoint subsets while balancing size constraints ...

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 ...