Graph representations can solve complex problems in natural science, as patterns of connectivity can give rise to a magnitude of emergent phenomena. Graph-based approaches are specifically important ...

Graph enumeration in complex networks encompasses a suite of methods designed to count and characterise substructures such as spanning trees, motifs and subgraphs, offering insights into network ...

Graph representation learning has emerged as a unifying framework for analysing relational data by mapping entities and their interactions within a network into low‐dimensional vector spaces. These ...

Explore the concept of graph databases, their use cases, benefits, drawbacks, and popular tools. A graph database is a dynamic database management system uniquely structured to manage complex and ...