kiroi.org

AIROI - Artificial Intelligence Return on Invest
The AI strategy for decision-makers and managers

Business excellence for decision-makers & managers by and with Sanjay Sauldie

AIROI - Artificial Intelligence Return on Invest: The AI strategy for decision-makers and managers

10 August 2025

Relational Graph Neural Networks (Glossary)

4.8
(1004)

Relational graph neural networks are at home in the fields of artificial intelligence, big data, smart data and digital transformation. They help to recognise and understand very complex relationships in large data networks.

Imagine you have a huge network of data points - for example, all the suppliers, customers and products in a large company. Relational graph neural networks enable computers to analyse the relationships between these points. They don't just think in pigeonholes, but look at how everything is connected.

A simple example: a company wants to find out which customers have similar purchasing patterns. Relational graph neural networks take the customer data as "nodes" and the joint purchases as "connections" in the so-called graph. The network now learns to recognise patterns in these relationships - for example, which customer may soon need a certain product.

This technology is used to gain completely new insights from data, improve forecasts and facilitate decision-making - from industry to online shops.

How useful was this post?

Click on a star to rate it!

Average rating 4.8 / 5. Vote count: 1004

No votes so far! Be the first to rate this post.

Share on the web now:

Other content worth reading:

Discover how relational graph neural networks analyse complex data. Find out more now and secure benefits!

written by:

Keywords:

#3DPrint 1TP5InnovationThroughMindfulness #Cost savings #Supply chain #Value added

Follow me on my channels:

Questions on the topic? Contact us now without obligation

Contact us
=
Please enter the result as a number.

More articles worth reading

Leave a comment