Graph Databases meet Machine Learning

With the release of Oracle Parallel Graph AnalytiX (PGX, the Oracle graph engine) version 3.2, one of the main new features was the support of Machine Learning algorithms. No need to export data into something else to execute machine learning processes on graphs anymore.

This session will introduce the various ways that ML can be done with and in Oracle Property Graphs, using some examples to make it more practical than theoretical.

Two of the 3 ways of doing ML with Graphs are easily accessible, while the 3rd one is more advanced ML involving neural networks too, but still fairly simple once you understand what it does (and how). All the 3 will (almost) have no secrets after the session.