The Intersection of Large-Scale Graph Analytics and Deep Learning – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-07-21T16:00:00Z http://www.open-lab.net/blog/feed/ Joe Schneible <![CDATA[The Intersection of Large-Scale Graph Analytics and Deep Learning]]> http://www.open-lab.net/blog/parallelforall/?p=7200 2022-08-21T23:37:58Z 2016-09-26T23:06:57Z [caption id="attachment_7202" align="alignright" width="300"] Figure 1: An example graph in which entities are represented by nodes and relationships are...]]> [caption id="attachment_7202" align="alignright" width="300"] Figure 1: An example graph in which entities are represented by nodes and relationships are...

Suppose you want to find the most influential user of Twitter. You would need to know not only how many followers everyone has, but also who those followers are, who the followers of those followers are, and so on. This is a graph problem. Graphs are a mathematical structure that model relationships between entities, whether they��re people, computers, proteins or even abstract concepts.

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