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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

Projecting a graph for use by GDS

GDS doesn’t operate directly on the data stored in Neo4j. Tuned for optimal performance, it uses its own data structure, which can be configured to contain a minimal amount of entities to optimize memory. While your Neo4j graph may contain tens of node labels, each with multiple properties, some algorithms will only use a single node label (for example, User) and no property. The GDS library offers the possibility to create a projected graph containing only these nodes. A so-called projected graph can be created using two different procedures:

  • gds.graph.project: For native projection
  • gds.graph.project.cypher: For Cypher projection

We are going to detail both of these procedures in the following sections.

Backward compatibility

If you used GDS prior to its 2.0 version, the aforementioned procedures used to be called gds.graph.create and gds.graph.create.cypher, respectively.

Native projections

In a native projection...

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