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 ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Graph technology has become a requirement for the modern enterprise. Companies in virtually ...

Q. My supervisor wants me to include more data visualizations in my projects. Do you have any suggestions? A. Data visualization transforms raw data into graphical representations, making complex ...

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 ...

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” ...

Graph databases represent one of the fastest-growing areas in the database market. MarketsandMarkets’ report on graph databases predicts that graph databases will grow from $1.9 billion in 2021 to ...

Rajiv Shesh is the Chief Revenue Officer at HCLSoftware where he leads revenue growth & customer advocacy for Products & Platforms division. What’s really powering AI? High-quality data—foundational ...

When designing data analysis, it is important to decide the type(s) of data analysis that will be required given the purpose of the assessment or monitoring. This document provides a one-page overview ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...