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 ...

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 ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Jul 03, 2025, 10:43am EDT Business 3d tablet virtual growth ...

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 ...

Grapher enables users to make better decisions by visualizing and communicating complex data sets in ways that simply can’t ...