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Graph Data Science with Neo4j

You're reading from  Graph Data Science with Neo4j

Product type Book
Published in Jan 2023
Publisher Packt
ISBN-13 9781804612743
Pages 288 pages
Edition 1st Edition
Languages
Author (1):
Estelle Scifo Estelle Scifo
Profile icon Estelle Scifo

Table of Contents (16) Chapters

Preface 1. Part 1 – Creating Graph Data in Neo4j
2. Chapter 1: Introducing and Installing Neo4j 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

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.
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Graph Data Science with Neo4j
Published in: Jan 2023 Publisher: Packt ISBN-13: 9781804612743
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