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

Back in the hazy olden days of the pre-2000s, navigating between two locations generally required someone to whip out a paper map and painstakingly figure out the most optimal route between those d… ...

The Evolution of Random Graphs, Transactions of the American Mathematical Society, Vol. 286, No. 1 (Nov., 1984), pp. 257-274 ...

We establish asymptotic vertex degree distribution and examine its relation to the clustering coefficient in two popular random intersection graph models of Godehardt and Jaworski [Electron. Notes ...

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

Does AI tell the truth, the whole truth and nothing but the truth? Who should we listen to when deciding whether a criminal will reoffend: a sophisticated algorithm, or random people on the ...