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

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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

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Importing Data into Neo4j to Build a Knowledge Graph

As discussed in the previous chapter, you do not have to fetch a graph dataset specifically to work with a graph database. Many datasets we are used to working with as data scientists contain information about the relationships between entities, which can be used to model this dataset as a graph. In this chapter, we will discuss one such example: a Netflix catalog dataset. It contains movies and series available on the streaming platform, including some metadata, such as director or cast.

First, we are going to study this dataset, which is saved as a CSV file, and learn how to import CSV data into Neo4j. In a second exercise, we will use the same dataset, stored as a JSON file. Here, we will have to use the Awesome Procedures on Cypher (APOC) Neo4j plugin to be able to parse this data and import it into Neo4j.

Finally, we will learn about the existing public knowledge graphs, one of the biggest ones being Wikidata. We will...

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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

Table of Contents (16) Chapters

Importing Data into Neo4j to Build a Knowledge Graph

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Authors (2)