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Louvain clustering using transformer embeddings

zhp27
Node

Hi,

I have some document nodes with title that are linked (has_kewords {weight}) to some keyword nodes. I want to cluster them by Louvain algorithm, and I added sentence transformer embeddings of title array[flot values], since the rest of my properties are strings. But when I ran it I get only one node clusters. How can I cluster this documents base on title (I want to use GDS, not scripts in other languages)

 

Thanks

This is my projection graph

CALL gds.graph.project(
'myGraph',
'Document',
{
has_keywords: {
orientation: 'UNDIRECTED'
}
},
{
nodeProperties: 'embedding',
relationshipProperties: 'weight'
}
)
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