Aura Graph Analytics in the Aura Workspace

With AGAiGo to glossary for Aura Graph Analytics (opens in a new tab)The Aura service that runs graph algorithms in a separate session, with no plugin to install. enabled on your project and your API credentials ready, the fastest way to try a session is from the Query tool inside the AuraiGo to glossary for Aura (opens in a new tab)Neo4j's fully managed cloud service. Workspace.

In this module, you'll learn:

• How to create a session with gds.session.getOrCreate
• How to project a graph from AuraDBiGo to glossary for AuraDB (opens in a new tab)The Aura product for transactional workloads. into an AGA sessioniFull definition for Aura Graph Analytics session (opens in a new tab)A managed, temporary compute environment that holds a projection and runs algorithms against it. using Cypher projectioniFull definition for Cypher projection (opens in a new tab)A projection built from the rows a Cypher query returns, so it can hold nodes and relationships that are derived rather than stored.
• How to run GDSiGo to glossary for graph data science (opens in a new tab)Analysing data through the structure of its connections. Also the name of the Neo4j library that implements it. algorithms against the projectioniFull definition for projection (opens in a new tab)An in-memory copy of part of your database that graph algorithms run against. You choose which nodes and relationships it holds. and write results back to your AuraDB
• How to manage sessions and persist trained ML models to the project catalog

By the end of this module, you'll be able to drive an AGA session entirely from the Query tool.