Graph Visualization Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data Compound graphs, a frequently encountered type of data set, have a hierarchical tree structure ...

There are several components to Graph Data Science Library, including a graph analytics workspace, a graph database with dozens of graph algorithms, and a graph visualization component called Bloom.

A semantic graph database technology vendor is supporting a key specification designed to validate graph-based data against a set of conditions that specify the “shape” of data. The goal is a more ...

That means managers look to analytic solutions that offer data visualization that complements digital asset management. Graph databases allow users to visualize queried data in terms of nodes ...

Graph database is an ideal solution to store and connect data much more accurately than a relational database (RDBMS).

Data scientists and leaders in the healthcare industry can use the most advanced graph analytics, known as native parallel graphs, to link datasets across multiple domains.

Ultipa Cloud V2.1 introduces the Graph Powerhouse Standard and the new Ultipa Manager, offering an integrated system that combines Ultipa's state-of-the-art graph database with a one-stop graph ...