I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful.

If you’ve ever doubted that visualization matters to data analysis, you need to see these images. Why is data visualization so important in statistics, anyway? Graphs and other kinds of ...

In the new knowledge-based digital world, encoding and making use of business and operational knowledge is the key to making progress and staying competitive. Here's a shortlist of technologies ...

When enhanced by the rich, self-describing nature of semantic knowledge graphs, data mesh and data fabric can greatly complement one another.

The "Graph Item Type" does not default to "AREA", so be sure to select that for a traditional graph that looks like a rolling hill of data. It's safe to leave "Consolidation Function" to AVERAGE, and ...

Knowledge graphs should be a data executive’s secret weapon. It’s time for you to get as smart as Amazon, Facebook, Goldman Sachs, Google and other data-driven leaders.

Dr. Alin Deutsch of UC San Diego explains in a Q&A why graph database algorithms will become the driving force behind the next generation of AI and machine learning apps.

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

These graphs present global COVID-19 data in an honest, user-friendly way, aligning countries (or states) by the stage of their epidemics rather than by calendar date, and letting readers toggle ...