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

ramesh1
Node

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(
"""
'myshops',
['shops','servicetags'],
{
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..  



 

 

1 REPLY 1

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