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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

Summary

In this chapter, we discussed how to build a web application using Neo4j as the main database. You should now be able to build a web application backed by Neo4j using either Python, its neomodel package, and the Flask framework to build a full-stack web application (back and frontend); GraphQL, to build an API out of Neo4j that can be plugged to any existing frontend; or GRANDstack, which allows you to create a frontend application for retrieving data from Neo4j using a GraphQL API.

Even though we have specifically addressed the concepts of users and repositories, this knowledge can be extended to any other type of object and relationship pretty easily; for example, repositories can become products, movies, or posts written by the user. If you have used a link prediction algorithm to build a followers recommendation engine, as we did in Chapter 9, Predicting Relationships, you can use the knowledge you've gained in this chapter to show a list of recommended users to follow...

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