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 ...

Graph technology has become a requirement for the modern enterprise. Companies in virtually every industry, from healthcare to energy to financial services, are applying the power of graph analytics ...

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 ...

When relationships between entities are more important than the entities themselves, you have a business problem made for graph analysis Graph analysis is not a new technology, but many analytics ...

As enterprises continue to navigate the complexities of digital transformation, connected data is becoming an increasingly common necessity. Connected data is when data assets are linked together to ...

A new open-source library by Nvidia could be the secret ingredient to advancing analytics and making graph databases faster. The key: parallel processing on Nvidia GPUs. Nvidia has long ago stopped ...

Relational data has become increasingly important in decision analysis in recent years, and so mining knowledge which preserves relationships between objects is an important topic. Graphs can ...

Origin 8 provides a data analysis and graphing workspace for scientists and engineers. New features include multi-sheet workbooks with sparklines, expanded import capabilities, SQL queries, automatic ...

The way you present your Excel data can make a significant impact on how your message is received. Excel, a tool that most professionals are familiar with, has immense potential for creating visually ...

Charts and Graphs are useful tools used for conveying information to clients. Complex numerical data are often presented in graphical form so that they can be easily understood and remembered. The ...