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Neo4j Graph Data Science is an analytics and ML engine that uses the relationships in your data to improve predictions. It plugs into enterprise data ecosystems so you can get more data science projects into production quickly. Using pretuned graph algorithms, data scientists can explore billions of data points in seconds to identify hidden connections and generate compelling visualizations that lead to better stakeholder decision making. Practical business applications and operations benefit from the context-first analysis that only graphs can provide across projects like recommendation engines, anomaly and fraud detection, route optimization, marketing, network analysis, and many more. When users leave Neo4j Graph Data Science reviews, G2 also collects common questions about the day-to-day use of Neo4j Graph Data Science. These questions are then answered by our community of 850k professionals. Submit your question below and join in on the G2 Discussion.

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