Hands-On Graph Analytics with Neo4j: Perform graph processing and visualization techniques using connected data across your enterprise
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Discover how to use Neo4j to identify relationships within complex and large graph datasets using graph modeling, graph algorithms, and machine learning
- Get up and running with graph analytics with the help of real-world examples
- Explore various use cases such as fraud detection, graph-based search, and recommendation systems
- Get to grips with the Graph Data Science library with the help of examples, and use Neo4j in the cloud for effective application scaling






















