Graph-based pattern mining encompasses a suite of computational methods designed to discover recurring substructures within graph-structured data. These techniques involve systematically enumerating ...
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 ...
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