G2

DK

Dipak K.

Software Engineer

Information Technology and Services

Mid-Market (51-1000 emp.)

4/19/2024

"Best for data science problems which are related to Graphs or finding pattern from your data"

5/5

What do you like best about Neo4j Graph Data Science?

I really liked the support for popular machine learning problem statements such as community detection, similarity finding between neighbor nodes which really helps in a user similarity-based recommendation, even though sometimes I don't get the exact solution from the documentation its community forum helps a lot with an instant resolution Review collected by and hosted on G2.com.

What do you dislike about Neo4j Graph Data Science?

Graph data science Python library needs to be improved as beginners might get confused or trapped in the Review collected by and hosted on G2.com.

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

So currently I am solving a problem related to data insights and recommendation systems and there are 2 most popular techniques used worldwide i.e. content-based recommendation and collaborative filtering, Neo4j data science library has the feature of finding k nearest neighbor which helps to develop collaborative filtering-based recommendation and also Neo4j has the capability of storing vector embedding which helps in content-based recommendation. Review collected by and hosted on G2.com.