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

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 ...

The enterprise knowledge graph is a knowledge representation system based on graph structures. It integrates multi-source data from both internal and external sources (such as business information, ...

Graphs naturally generalize unstructured vectorial data and structured data such as time series, images or bags of entities. The goal of this course is to provide an overview of the fundamental ...

Think of knowledge-graph-powered data catalogs as the search engine for the data in the enterprise.

These past few months have not been kind to any of us. The ripples caused by the COVID-19 crisis are felt far and wide, and the world's economies have taken a staggering blow. As with most things in ...

Knowledge graphs are a valuable tool that organizations can use to manage the vast amounts of data they collect, store, and analyze. Enterprise knowledge graphs’ representation of an organization’s ...

Laurence D. Smith, Lisa A. Best, D. Alan Stubbs, John Johnston, Andrea Bastiani Archibald, Scientific Graphs and the Hierarchy of the Sciences: A Latourian Survey of ...