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Head's Up! Site migration is underway. Expect disruption to service on Thursday, Feb. 9!

creating a in memory graph representation of AuraDB data in Neo4j GDS


I am using the Aura DS and vertex AI blog and example.  I used the following to create the 

projections  for a  example sub graph

result = gds.graph.project.cypher(
services_with: {
orientation: 'UNDIRECTED'



This worked for me with neo4j desktop with GDS plugin.   I am now trying to use the same with AuraDB

and calling this in Python.  When I execute this , I get TypeError: __call__() missing 2 required positional arguments: 'node_spec' and 'relationship_spec'.     

Appreciate your inputs..  




You need to use AuraDS for that, AuraDB has no GDS installed.