When relationships between entities are more important than the entities themselves, you have a business problem made for graph analysis Graph analysis is not a new technology, but many analytics ...

Thus, they aimed to make mathematical sense of a computationally difficult problem. By combining color refinement with ...

Essentially, while their algorithm assesses planarity, it also tracks and calculates changes to the graphs, performing what is called a “recourse analysis,” says Rotenberg. But such data ...

Traditional data analysis methods often ... new growth opportunities for graph analytics vendors. Improved performance, scalability, reliability, better problem solving, and real-time application ...

They both calculate physical location data to efficiently match customers with providers, and problems of these ... pharmaceutical companies use graph analytics when examining patient symptoms and ...

A new algorithm efficiently solves the graph isomorphism problem, computer scientist László Babai announced November 10 at a Combinatorics and Theoretical Computer Science seminar at the ...

Graphs are essential because it is impossible to navigate through the ocean of unlike data available for modeling and analysis without some tools to illuminate the process. Graphs are abbot ...

CEO and co-founder Emil Eifrem said that Neo4j, which was founded back in 2007, has hit its growth stride in recent years given the rising popularity of graph-based analysis. “We have a deep ...