Shortest path algorithms in GDS lib do not work properly

Neo4j Graph Platform
1

hi ,
I use the Dijkstra Source-Target algorithm to find the weighted shortest path via the cypher code below.
However, the result still shows the unweighted shortest path even after I added the "relationshipWeightProperty" in my cypher "call" query. Please give some advise for how to get the weighted shortest path, thanks.
the link for data and code as below:

https://github.com/neo4j-graph-analytics/book/raw/master/data/transport-relationships.csv
https://github.com/neo4j-graph-analytics/book/raw/master/data/transport-nodes.csv

MATCH (source:Place {id:'Amsterdam'}),(target:Place {id:'London'})
CALL gds.shortestPath.dijkstra.stream({nodeProjection:'Place',relationshipProjection:'EROAD',relationshipProperties:'distance',sourceNode:source,targetNode:target,relationshipWeightProperty:'distance'})
YIELD nodeIds,costs
WITH [nodeId in nodeIds|gds.util.asNode(nodeId).id] AS nodeName,costs AS costs, size(nodeIds) AS siz
UNWIND range(0,siz-1) AS n
RETURN nodeName[n] AS city, costs[n] AS step
2

I am trying to follow the above example but Neo4j is telling me that there is no procedure called "gds.graph.create". I am able to use procedures like "gds.graph.project.cypher" and others listed at https://neo4j.com/docs/graph-data-science/current/management-ops/graph-catalog-ops/. I've seen a couple of different posts refer to "gds.graph.create" so just wondering where that procedure is coming from.

3

Hey @GregH ,
`gds.graph.create` is the old name for `gds.graph.project` :slightly_smiling_face: