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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

Creating nodes and relationships

Unlike other query languages for graph databases such as Gremlin (https://tinkerpop.apache.org/gremlin.html) or AQL (ArangoDB), Cypher was built to have a syntax similar to SQL, in order to ease the transition for developers and data scientists used to the structured query language.

Like many tools in the Neo4j universe, Cypher's name comes from the movie The Matrix released in 1999: Neo is the main character. Apoc is also a character from this movie.

Managing databases with Neo4j Desktop

It is assumed you already have experience with Neo4j Desktop. This is the easiest tool to manage your Neo4j graphs, the installed plugins, and applications. I recommend creating a new project for this book, in which we are going to create several databases. In the following screenshot, I have created a project named Hands-On-Graph-Analytics-with-Neo4j, containing two databases: Test graph and USA:

Throughout this book, we will use Neo4j Browser, which is an application...

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