Analyze graphs without taxing your live database.
Runs graph algorithms in isolated serverless sessions and retrieves their results or writes them back to Neo4j.
When to use it
Use for Aura Graph Analytics session workloads with connected Neo4j data or standalone Pandas, Spark, or CSV data.
Give it a graph-analysis request; it runs algorithms in a session and retrieves results, with write-back available for connected databases.
The Python client requires Python 3.10 or later.
Requires graphdatascience 2.0 or later; version 2.1 or later is recommended and included in the installation command.
This skill
Aura Graph Analytics
Starts serverless graph analytics sessions (irreversible)
Uploads graphs for hosted analysis
Neo4j
Writes results to Neo4j