neo4j-product-examples/graph-machine-learning-examples
Neo4j Graph Data Science with Graph ML & GNNs
This project helps data scientists and machine learning engineers leverage graph data to improve predictive models. It takes your existing graph data from Neo4j and applies advanced graph machine learning techniques to generate richer insights and more accurate predictions. The output includes enhanced data for tasks like fraud detection, recommendation systems, or identifying influential nodes in a network.
No commits in the last 6 months.
Use this if you have data stored in Neo4j and want to apply advanced machine learning methods, like graph neural networks, to uncover deeper patterns and make better predictions.
Not ideal if your data is not structured as a graph or if you are looking for simple statistical analysis rather than predictive modeling.
Stars
47
Forks
18
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Apr 19, 2023
Commits (30d)
0
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