Whether you’re genuinely interested in getting insights and solving problems using data, or just attracted by what has been called “the most promising career” by LinkedIn and the “best job in America” ...

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 ...

Data models and query languages are admittedly somewhat dry topics for people who are not in the inner circle of connoisseurs. Although graph data models and query languages are no exception to that ...

Forbes contributors publish independent expert analyses and insights. I write about the broad intersection of data and society. One of the most powerful ways through which we convey the results of ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

NASA has been using graph database technology from Neo4j to help with cataloguing and making sense of the mountain of engineering knowledge data that space agency has collected over the last 60 years.

Debate and discussion around data management, analytics, BI and information governance. The cloud shift happened at the application level first and then at the virtual machine level, but it has been ...

Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...