Chart recorders would typically produce a graph of one or more measured values over a period of time. Modern presentation of electronically recorded historic data often mimics the appearance of the ...

Key-value, document-oriented, column family, graph, relational… Today we seem to have as many kinds of databases as there are kinds of data. While this may make choosing a database harder, it ...

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

Visualizing data – whether in charts, graphs or some other form – is important because it can give data meaning to a broader audience.

GraphQL, which promises to deliver a graph-like alternative to the piecemeal limitations of procedural REST, was originally developed to provide a faster way to assemble data upon which Facebook’s ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

Graph data linked with geographic data will provide new means of data discovery, developers were told at a recent conference hosted by Esri.

Knowledge graphs are well-suited to organizations with large data sets and where extracting knowledge often proves burdensome.