Efficient way to calculate PageRank with multiple graphs

Neo4j Graph Platform Procedures & APOC
1

I have several graphs in the Neo4j database.

CREATE (home:neo4jPageRank1 {name:"Home"}), (about:neo4jPageRank1 {name:"About"}), ...
CREATE (home:neo4jPageRank2 {name:"Home"}), (about:neo4jPageRank2 {name:"About"}), ...
CREATE (home:neo4jPageRank3 {name:"Home"}), (about:neo4jPageRank3 {name:"About"}), ...

I will run the PageRank algorithm on the neo4jPageRank1 named graph.
I can do this:

CALL algo.pageRank.stream("neo4jPageRank1", null, {iterations:20})
YIELD nodeId, score
MATCH (node) WHERE id(node) = nodeId
RETURN node.name AS page,score
ORDER BY score DESC

or do:

CALL algo.graph.load('my-graph', 'neo4jPageRank1', null, {graph: 'huge'})
CALL algo.pageRank.stream(null, null, {graph:"my-graph", iterations:20})
YIELD nodeId, score
MATCH (node) WHERE id(node) = nodeId
RETURN node.name AS page,score
ORDER BY score DESC

what is the most efficient solution?

In my opinion

  • the second solution being executed in memory is more powerful.
  • If the memory is restricted the first solution is to be preferred.