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… ...

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 ...

Today Memgraph, the streaming graph application platform, announced Memgraph 2.0, the public launch of its source-available platform, making it easy f ...

Consider a family of random ordered graph trees (T n ) n≥1 , where T n has n vertices. It has previously been established that if the associated search-depth processes converge to the normalised ...

CAST, a leader in software intelligence, is entering a strategic research collaboration with the Laboratoire d’InfoRmatique en Image et Systèmes d’information (LIRIS) to develop advanced algorithms ...

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.

The COMPAS tool is widely used to assess a defendant’s risk of committing more crimes, but a new study puts its usefulness into perspective.

There's lots of things you shouldn't leave up to people's best guesses, and determining which criminals are likely to reoffend is one of them.