Since graph data is stored irregularly, this leads to irregular memory access patterns, degrading computational efficiency and increasing energy consumption.

Nvidia is now releasing Rapids cuGraph 0.9, a library whose goal is to make graph analysis ubiquitous. This could be the foundation for major developments in graph analytics and graph databases.

Neo4j, which offers a graph-centric database and related products, announced today that it raised $325 million at a more than $2 billion valuation in a Series F deal led by Eurazeo, with ...

Graph analytics is a set of analytic techniques that shows how entities such as people, places and things are related to each other. Unlike traditional data analytics, which is slow and unable to ...

Graph analysis will push big data evolution to the next plateau of scale and sophistication. Hadoop is one segment of the evolutionary picture, but it’s not necessarily the centerpiece.

Oh, that’s right – make a graph. I don’t know why we always make a graph but it’s not a real physics lab without a graph. The students are mostly correct, the graph is very important.

It was so useful, it ended up sparking the World Wide Web. Along with such widespread software, CERN has been responsible for quite a bit of scientific software, especially physics software. In this ...

Graph theory is used in sociology as a way, for example, to measure actors’ prestige or to explore rumor spreading, notably through the use of social network analysis software.