GraphAcademy

Aura

Aura Graph Analytics

The Aura service that runs graph algorithms in a separate session, with no plugin to install.

Also written: AGA

Lessons that use this term

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21 lessons use this term. Results are ordered by term density.

Aura Graph Analytics fundamentals36 mentions

  • Add to an AuraDB instanceUnderstanding Aura Graph AnalyticsYour organization now has Aura Graph Analytics7 mentions
  • Drive AGA from the neo4j driverFrom the Python clientthe canonical way to drive AGA from Python — but it's not the only5 mentions
  • Enable for your organizationUnderstanding Aura Graph AnalyticsBefore you can run a session, you need to enable Aura Graph Analytics for your3 mentions
  • Aura Graph Analytics overviewUnderstanding Aura Graph AnalyticsAura Graph Analytics is an on-demand, session-based graph compute7 mentions
  • Aura Graph Analytics workflowAura Graph Analytics in the Aura Workspacemost Aura Graph Analytics workflows you'll follow five standard3 mentions
  • Connect via the clientFrom the Python client: the manager that creates and tears down AGA sessions AuraAPICredentials: wraps the Client ID and Secret used to talk to the Aura API DbmsConnectionInfo:2 mentions
  • Standalone sessions from DataFramesFrom the Python clientyou check your Aura Graph Analytics workspace, you should now see a session appear — labelled as2 mentions
  • Load the movies datasetUnderstanding Aura Graph AnalyticsGraph Analytics is on by default — nothing else to1 mention
  • Train and publish machine learning modelsAura Graph Analytics in the Aura Workspacewalks through how to manage them in the AGA project catalog — not how to train them4 mentions
  • Session and catalog managementAura Graph Analytics in the Aura Workspacehandful of GDS surfaces aren't available from the Cypher API in Aura Graph Analytics2 mentions

Get started with Graph Data Science10 mentions

  • GDS orientationGet started with the Graph Data Science librarydata science' the discipline The difference between GDS the product and Aura Graph Analytics7 mentions
  • Set up your GDS environmentGet started with the Graph Data Science libraryinstead of Aura Graph Analytics3 mentions

Analyze Graph Data with Python21 mentions

  • Workshop Complete!Aura Graph Analyticscompleted the GDS Python Client & Aura Graph Analytics5 mentions
  • Dijkstra's Shortest PathAura Graph AnalyticsThe notebooks use gds.graph.project.remote() because we're working with Aura Graph Analytics10 mentions
  • Introduction to Aura Graph AnalyticsAura Graph AnalyticsAura Graph Analytics is Neo4j's on-demand cloud environment for running Graph Data Science5 mentions
  • Yen's K-Shortest PathsAura Graph Analyticsnow have the full GDS toolkit: Python workflows and scalable analytics with Aura Graph Analytics, built on top of the projection and algorithm1 mention

Graph Data Science in Practice10 mentions

  • What is Graph Data Science?GDS Foundationsthe key access points for using the GDS library Understand when to use Aura Graph Analytics versus7 mentions
  • The GDS WorkflowGDS Foundationsprojection is covered in the GDS Python Client & Aura Graph Analytics2 mentions
  • Projection Configuration for AlgorithmsGDS Foundationsand other embedding algorithms are covered in the GDS Python Client & Aura Graph Analytics1 mention

Neo4j Management, Optimization, and Refactoring Workshop1 mention

Zero to Production Hands-On Workshop1 mention

Related terms

Aura Graph Analytics session
A managed, temporary compute environment that holds a projection and runs algorithms against it.5 shared lessons
AuraDB
The Aura product for transactional workloads.12 shared lessons
graph data science
Analysing data through the structure of its connections. Also the name of the Neo4j library that implements it.13 shared lessons
Cypher projection
A projection built from the rows a Cypher query returns, so it can hold nodes and relationships that are derived rather than stored.5 shared lessons
Dijkstra's algorithm
An algorithm that finds the cheapest route between two nodes.4 shared lessons
projection
An in-memory copy of part of your database that graph algorithms run against. You choose which nodes and relationships it holds.12 shared lessons
Aura
Neo4j's fully managed cloud service.15 shared lessons
FastRP
A node embedding algorithm, short for Fast Random Projection. It builds each node's vector by combining random vectors drawn from the nodes around it.3 shared lessons

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