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

Neo4j Graph Platform
1

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..

2

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