![Dipak K.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Dipak K.")
DK

Dipak K.

AI/ML Engineer

Mid-Market (51-1000 emp.)

5/20/2024

"Let your data speak using neo4j"

4.5/5

What do you like best about Neo4j Graph Data Science?

Neo4j's Graph data science library is awesome, I have developed 2 recommendation system using their FastRP embedding algorith which finds the embeddings of each node and its relationship. It is really fast as every node is connected with each other and hence able to generate embeddings based on what your data speaks Review collected by and hosted on G2.com.

What do you dislike about Neo4j Graph Data Science?

Neo4j Aura support has limitation of ram and storage and also cost is too high Review collected by and hosted on G2.com.

What problems is Neo4j Graph Data Science solving and how is that benefiting you?

We have delivered a product recommendation system using neo4j graph data science library such as Fast Random Projection embedding which was helpful in finding the node structure in terms of embeddings, then using its another function KNN algorithm of Graph data science library we were able to find out most similar user and based on that we were able to give user similarity product recommendation. Review collected by and hosted on G2.com.

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Current UserValidated ReviewerIncentivizedSource: G2 invite

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