Graph-structured data are pervasive in the real-world such as social networks, molecular graphs and transaction networks.

Adding a direction to an edge ultimately creates a so-called property graph which represents the explicit structure of data inside a graph database.

Download KgBase's Vision Paper to learn how to build the ultimate enterprise knowledge system: a federated mesh of independently maintained no-code knowledge graphs.

(For reference, according to Facebook engineers, the Social Graph is a graph data structure involving an "immense map" of people, places, and things and the connections between them.) ...

The rise of graph databases is closely related to AI's demand for data processing. AI technology requires vast amounts of structured and unstructured data, which must not only be input into ...

Just getting data in and out of property graph solutions is an exercise in patience and improvisation -- good luck representing a graph structure in CSV, and mapping that from solution to solution.

For 40 years, the Big Five personality model has dominated psychology, but new research suggests it may be incomplete.

Many domains have data that naturally lend themselves to graph structures: computer networks, social networks, molecules/proteins, and transportation routes are just a few examples.