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

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

15. Other Books You May Enjoy

Technical requirements

To be able to reproduce the examples provided in this chapter, you’ll need the following tools:

Neo4j installed on your computer (see the installation instructions in the previous chapter).
The Neo4j APOC plugin (the installation instructions will be provided later in this chapter, in the Introducing the APOC library to deal with JSON data section).
Python and the Jupyter Notebook installed. We are not going to cover the installation instructions in this book. However, they are detailed in the code repository associated with this book (see the last bullet if you need such details).
An internet connection to download the plugins and the datasets. This will also be required for you to use the public API in the last section of this chapter (Enriching our graph with Wikidata information).
Any code listed in this book will be available in the associated GitHub repository, https://github.com/PacktPublishing/Graph-Data-Science-with-Neo4j...

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