Most projects benefit from having a data model. Read this article for an overview of the most common types.

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 ...

Choosing Between Different Graph Types A quick glance at any data visualization platform shows that there are dozens of different graph types, from “classics” such as line graphs and bar graphs to ...

The four pillars of graph adoption This confluence of graph analytics, graph databases, graph data science, machine learning, and knowledge graphs is what makes graph a foundational technology.

Graph databases open up views of interconnected data to help users discover and analyze relationships between datapoints, be it in customer transactions or internal operations. Knowledge graphs ...

Data types are collections of numbers or other information, which may have various kinds of structure, that the functions operate on.

A bar graph represents the data of an Excel sheet in an easy-to-read visual graphic. There are several types of bar graphs that work for different data sets.

Since AI models learn from data differently than humans do, the tools we use to prepare data for humans aren’t good enough for AI applications.