Graph neural networks (GNNs) have emerged as a powerful framework for analyzing and learning from structured data represented as graphs. GNNs operate directly on graphs, as opposed to conventional ...

How do you solve the age-old data integration issue? We addressed this in one of the first articles we wrote for this column back in 2016. It was a time when key terms and trends that dominate today's ...

These days we use our mobile phones for everything; they have become an important part of each person’s life. Either for personal use or for working purposes, the phone has become a binder in today’s ...

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...

Creating a graph doesn’t need to be difficult once you have the right tools at your disposal. Now, instead of having to draw a graph on a piece of paper, or use advanced applications to get the job ...

Excel is probably Microsoft’s most popular developer tool. With a built-in functional programming language that now supports lambdas and variables, Excel has become a tool that people build businesses ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Neo4j builds tools for creating graph databases, and today at its GraphConnect conference in New York City, it announced a new platform for developers to build graph-based applications using a common ...

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...