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Graph Data Science with Neo4j

You're reading from Graph Data Science with Neo4j Learn how to use Neo4j 5 with Graph Data Science library 2.0 and its Python driver for your project

Product type Paperback

Published in Jan 2023

Publisher Packt

ISBN-13 9781804612743

Length 288 pages

Edition 1st Edition

Languages

Python

Tools

Neo4j

Concepts

Data Science

Author (1):

Estelle Scifo

View More author details

Table of Contents (16) Chapters

Preface

1. Part 1 – Creating Graph Data in Neo4j

2. Chapter 1: Introducing and Installing Neo4j FREE CHAPTER

3. Chapter 2: Importing Data into Neo4j to Build a Knowledge Graph

4. Part 2 – Exploring and Characterizing Graph Data with Neo4j

5. Chapter 3: Characterizing a Graph Dataset

6. Chapter 4: Using Graph Algorithms to Characterize a Graph Dataset

7. Chapter 5: Visualizing Graph Data

8. Part 3 – Making Predictions on a Graph

9. Chapter 6: Building a Machine Learning Model with Graph Features

10. Chapter 7: Automatically Extracting Features with Graph Embeddings for Machine Learning

11. Chapter 8: Building a GDS Pipeline for Node Classification Model Training

12. Chapter 9: Predicting Future Edges

13. Chapter 10: Writing Your Custom Graph Algorithms with the Pregel API in Java

14. Index

Why subscribe?

15. Other Books You May Enjoy

Further reading

If you want to explore the concepts described in this chapter in more detail, please refer to the following references:

Graph Databases, The Definitive Book of Graph Databases, by I. Robinson, J. Webber, and E. Eifrem (O’Reilly). The authors, among which is Emil Eifrem, the CEO of Neo technologies, explain graph databases and graph data modeling, also covering the internal implementation. Very instructive!
Learning Neo4j 3.x - Second Edition, by J. Baton and R. Van Bruggen. Even if written for an older version of Neo4j, most of the concepts it describes are still valid – the newer Neo4j versions have mostly added new features such as clustering for scalability, without breaking changes.
The openCypher project (https://opencypher.org/) and GQL specification (https://www.gqlstandards.org/) to learn about graph query language beyond Cypher.

You have been reading a chapter from

Graph Data Science with Neo4j

Published in: Jan 2023

Publisher: Packt

ISBN-13: 9781804612743

© 2023 Packt Publishing Limited All Rights Reserved

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Authors (2)

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.

See other products by Scifo

Estelle Scifo

Estelle 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.

See other products by Estelle Scifo