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

What are Knowledge Graphs? A Knowledge Graph is a graph data structure consisting of entities and relationships between them. It’s a graphical way of representing unstructured or structured data in ...

Alexander Christensen's recent study probably won't rewrite 40 years of history in the field of psychology, but he hopes that ...

We talk with Daniel Kirstenpfad, founder and CTO of sones GmbH, about Graph Databases and how they can better model some types of data such as relations in a social networking application. A graph dat ...

In our use case, we had to build a graph data structure with subjects, relations, and objects. To do this, we used many basic data structures in Go, such as structs, slices, maps, and strings.

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

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.

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.