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

Graph databases have evolved into a mainstream technology that has been successfully implemented by organizations in every industry to support a wide variety of applications.

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, ...

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].

Graphs are used to model complex systems, and GNNs provide a way to analyze and make predictions based on the structure of the graph. GNNs are a type of deep-learning algorithm that can operate on ...

“If you’re a cloud customer, no problem. Come to TigerGraph Cloud, and use the free tier to build applications,” Depshande says. “We provide an open source graph algorithm library. We provide graph ...

Refining with colors Mathematicians have developed various strategies to compare graphs. Since the 1970s, algorithms have been able to test graph isomorphism, but in exponential time.

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 ...