A project headed by the SEI’s Scott McMillan took a step in 2020 toward standardizing graph algorithm application development in C++.

“The new algorithm is a remarkable tour de force,” said Giuseppe Italiano, a computer scientist at Luiss University and a co-author of the 1996 paper describing what is now the second-fastest ...

These temporal algorithms are particularly relevant for applications in rapidly changing environments, as they enable the identification of influential nodes in time-varying networks [3].

Using sophisticated “graph algorithms” that can mine the graph to return specific insights Using “graph visualization tools” which allow analysts to perform “graph discovery” i.e. uncover useful ...

Bringing Neo4j’s graph data science power to Snowflake allows users to instantly execute over 65 graph algorithms on their data stored in Snowflake. This eliminates the complexity, management hurdles, ...

The goal of the collaboration is to develop advanced algorithms that yield more efficient and user-friendly visual representations of application structures. This effort is crucial as the complexity ...

In July/August 2019, two things changed with Google's Knowledge Graph API that may be a turning point both for Google and for us as digital marketers.