Hi,
I have uploaded a adjacency matrix into neo4j and used node2vec to get the embedded vectors.I intend to use this on a machine learning classification problem where I have to add the output class as the last column to this embedded vectors,but I am not sure if the embedded vectors I obtained are in the same order(row-wise) as in the adjacency matrix.How do I make sure of this.Any help here would be highly appreciated.
If you return the nodeId and embeddings from nod2vec, you can then use gds.util.asNode(nodeId).outputClass
https://neo4j.com/docs/graph-data-science/current/management-ops/utility-functions/
Hi,Could you be a bit more specific.I am sorry am new to this.This is my code
with 600 as noOfNodes
unwind range(1,noOfNodes) as index
create(n:Node{id: index})
load csv from "file:///adjmat.csv" as line
with line skip 1
with line, toInteger(line[0]) as startNode, size(line)-1 as noOfRelationships
match(n:Node{id: startNode})
unwind range(1, noOfRelationships) as index
match(m:Node{id: index})
create(n)-[r:REL]->(m)
set r.strength = toFloat(line[index])
Used this code to upload my 600*600 adjacent matrix
and den applied node to vec using
CALL gds.graph.project('all',
\[‘\*'\],
{undirected:{type:'\*', orientation:'UNDIRECTED'}})
CALL gds.beta.node2vec.stream("all", {walksPerNode: 2, embeddingDimension: 16})
And got the embedded vectors(600*16). which I exported as csv.Now i want to add an output class to this embedded vectors which I have in another excel .But I am not sure this is the right way to do it.Hope you understood my problem now