Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

For most fields, graphs are the most common form of visual presentation for data. Graphs exist in numerous shapes and formats, but as a rule, should only be used to present trends or relationships ...

Graphs are among the most widely-used data structures in machine learning. Their power comes from the flexibility of capturing relations (edges) of collections of entities (nodes) which arise in a ...

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

A: We will need a data availability layer in The Graph’s ecosystem. You can kind of think of the Web3 stack as having multiple pieces. You have the blockchain at the bottom, and then one layer ...

Modern digital twins are built atop knowledge graphs, a platform which can not only scale to the vast amounts of data accrued by assets and people, but also deal with the intricate structures and ...