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

Introducing the Pregel API

Neo4j allows you to write plugins: following some API, you can write code in Java, which can then be used from Cypher through, for instance, the CALL statement, given that the JAR file containing your code has been placed in the plugins folder and your code has been properly annotated so that Neo4j can find the relevant information. That’s how APOC and GDS are implemented. Thanks to the Pregel API, we can extend not only Neo4j but GDS itself, leveraging its main features.

In this section, we will cover these GDS features and the basic principles behind the Pregel API.

GDS’s features

GDS allows users to extend it while taking advantage of many common functionalities, such as the following:

In-memory projected graph: We won’t have to write code to create a projected graph – we can directly work on an existing projected graph in the GDS graph catalog.
Stream/write/mutate procedures: The execution modes are automatically...

The rest of the chapter is locked

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

Introducing the Pregel API

GDS’s features

Unlock this book and the full library FREE for 7 days

Authors (2)