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Hands-On Graph Analytics with Neo4j

You're reading from   Hands-On Graph Analytics with Neo4j Perform graph processing and visualization techniques using connected data across your enterprise

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Product type Paperback
Published in Aug 2020
Publisher Packt
ISBN-13 9781839212611
Length 510 pages
Edition 1st Edition
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Author (1):
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Estelle Scifo Estelle Scifo
Author Profile Icon Estelle Scifo
Estelle Scifo
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Toc

Table of Contents (18) Chapters Close

Preface 1. Section 1: Graph Modeling with Neo4j
2. Graph Databases FREE CHAPTER 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
Using Neo4j in Your Web Application

In this book, we have learned a lot about Neo4j capabilities, including graph data modeling, Cypher, and link prediction using the Graph Data Science Library. Almost everything we have done required writing Cypher queries to extract data and/or store the results in Neo4j. In this chapter, we will discuss how to use Neo4j in a real-world web application, using either Python and the Flask framework or the React JavaScript framework. This chapter will also give you the opportunity to play with GraphQL in order to build a flexible web API.

The following topics will be covered in this chapter:

  • Creating a full-stack web application using Python and Graph Object Mappers
  • Understanding GraphQL APIs by example – the GitHub API v4
  • Developing a React application using GRANDstack

Let's get started!

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