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

[ramesh1]

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..  

[michael_hunger]

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