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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

Using our algorithm from Cypher

This is the last step of plugin development: we are going to annotate our file so that Cypher knows what we are talking about, then build the JAR file and test it from Cypher.

Adding annotations

Before generating the JAR file, we need to annotate our PageRank class so that we can configure how it can be used from Neo4j:

@PregelProcedure(name = "gdsbook.pr", modes = {GDSMode.STREAM, GDSMode.MUTATE, GDSMode.WRITE})
public class PageRank implements PregelComputation<PageRank.Config> {
// rest of the code is unchanged ...
}

Here, we specify two important parameters:

  • The procedure’s name: This is the name of the procedure known by Cypher. In short, it means that we will be able to write the following:
    CALL gdsbook.pr.<mode>(…) in Cypher
  • The procedure’s modes: Here, we can choose one or many among the GDS modes (stream, mutate, write, and stats) that will be available.
  • Optionally, we can...
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