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Hands-On Graph Analytics with Neo4j

You're reading from  Hands-On Graph Analytics with Neo4j

Product type Book
Published in Aug 2020
Publisher Packt
ISBN-13 9781839212611
Pages 510 pages
Edition 1st Edition
Languages
Author (1):
Estelle Scifo Estelle Scifo
Profile icon Estelle Scifo

Table of Contents (18) Chapters

Preface 1. Section 1: Graph Modeling with Neo4j
2. Graph Databases 3. The Cypher Query Language 4. Empowering Your Business with Pure Cypher 5. Section 2: Graph Algorithms
6. The Graph Data Science Library and Path Finding 7. Spatial Data 8. Node Importance 9. Community Detection and Similarity Measures 10. Section 3: Machine Learning on Graphs
11. Using Graph-based Features in Machine Learning 12. Predicting Relationships 13. Graph Embedding - from Graphs to Matrices 14. Section 4: Neo4j for Production
15. Using Neo4j in Your Web Application 16. Neo4j at Scale 17. Other Books You May Enjoy

Summary

After reading this chapter, you should be able to deploy a Neo4j database either on a single server or using cluster and sharding techniques. You should also be aware of the best practices for using the GDS with big data and the limitations of this plugin.

With this chapter, we have closed the loop we started in Chapter 1, Graph Databases, where you first started learning about graphs, graph databases, and Neo4j. Chapter 2, The Cypher Query Language, taught you how to insert data into Neo4j and query it using the visual query language known as Cypher. Chapter 3, Empowering Your Business with Pure Cypher, gave you the opportunity to use Cypher to build knowledge graphs and to perform some natural language processing (NLP) using a third-party library built by Graph Aware.

In Chapter 4, The Graph Data Science Library and Path Finding, you learned about the basics of the Graph Data Science library. Developed and supported by Neo4j, this plugin is the starting point for data science...

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