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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

Product type Paperback

Published in Aug 2020

Publisher Packt

ISBN-13 9781839212611

Length 510 pages

Edition 1st Edition

Languages

Cypher

Tools

Neo4j

Concepts

Database Programming

Author (1):

Scifo

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Table of Contents (18) Chapters

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

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Introducing RDF and SPARQL

Wikidata structure actually follows the Resource Description Framework (RDF). Part of the W3C specifications since 1999, this format allows us to store data as triples:

(subject, predicate, object)

For instance, the sentence Homer is the father of Bart is translated with RDF format as follows:

(Homer, is father of, Bart)

This RDF triple can be written with a syntax closer to Cypher:

(Homer) - [IS_FATHER] -> (Bart)

RDF data can be queried using the SPARQL query language, also standardized by the W3C.

The following will teach you how to build simple queries against Wikidata.

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Authors (1)

Scifo

Scifo

Estelle Scifo possesses over 7 years experience as a data scientist, after receiving her PhD from the Laboratoire de lAcclrateur Linaire, Orsay (affiliated to CERN in Geneva). As a Neo4j certified professional, she uses graph databases on a daily basis and takes full advantage of its features to build efficient machine learning models out of this data. In addition, she is also a data science mentor to guide newcomers into the field. Her domain expertise and deep insight into the perspective of the beginners needs make her an excellent teacher.

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