Graph neural networks (GNNs) are a type of neural network architecture and deep learning method that can help users analyze graphs, enabling them to make predictions based on the data described by a ...

"Graph" is one of those terms that Microsoft has been throwing around for a few years now, but that can be difficult to define. There was the Office Graph, the current Microsoft Graph, the LinkedIn ...

In the realm of machine learning (ML), a knowledge graph is a graphical representation that captures the connections between different entities. It consists of nodes, which represent entities or ...

In this article, I explain why the first app built on a knowledge graph should be an enterprise data catalog. I then clarify why any catalog equipped to grow, scale, and evolve with the modern data ...

The is a resource to deliver scatter graphs to KS3 or GCSE. It includes a powerpoint which covers the definition of bivariate data and correlation along with two worked examples (one involving ...