The schema consists of A, B as nodes, and E as an edge with some other nodes and edges. 

A: 183468

B: 437317

E: 186513

Query:  g.V().has('property1', 'A').as('v1').outE().has('property1','E').as('e').inV().has('property1', 'B').as('v2').select('v1','e','v2').dedup().count()

Output: 200166

Time Taken: 1min

Query: g.V().has('property1', 'A').aggregate('v').outE().has('property1','E').aggregate('e').inV().has('property1', 'B').aggregate('v').select('v').dedup().as('vetexCount').select('e').dedup().as('edgeCount').select('vetexCount','edgeCount').by(unfold().count())

Output: ==>[vetexCount:383633,edgeCount:200166]

Time: 3.5 mins

Property1 is the index.

How can I optimize the queries because minutes of time for count query is not optimal. Please suggest different approaches. 

Thanks & Regards,

Vinayak