Mathematicians have long sought to develop algorithms that can compare any two graphs. In practice, many ...

Two computer scientists found — in the unlikeliest of places — just the idea they needed to make a big leap in graph theory.

Graph analytics is a hot topic, but what does it mean? At the DC GraphTour, I learned the difference between graph queries, graph algorithms, and graph analytics. Next up: San Francisco GraphTour.

Graph algorithms and sparsification techniques have emerged as pivotal tools in the analysis and optimisation of complex networked systems.

A theoretical computer scientist has presented an algorithm that is being hailed as a breakthrough in mapping the obscure terrain of complexity theory, which explores how hard computational problems ...

Graph Algorithms: Computational procedures designed to solve problems related to graph structures, encompassing processes such as traversal, shortest path determination, and network flow analysis.

A new algorithm efficiently solves the graph isomorphism problem, which has puzzled computer scientists for decades.

Combined with algorithms that can handle such graphs it’s a great way to not only make the basic structure of a network clear, but also to model structures and systems.

Graph database and analytics software company TigerGraph has expanded its data science library to more than 50 algorithms.