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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

Visualizing large graphs with Gephi

Gephi is a powerful open source graph visualization software, able to deal with very large graphs. In the following sections, we are going to install Gephi and the required plugins, set up our Neo4j database, and draw a graph using this software.

Installing Gephi and its required plugin

In order to install Gephi and the plugins we need to connect it with Neo4j, follow these steps:

  1. Download Gephi from https://gephi.org/.
  2. To start it, follow your OS-specific instructions. For Linux, the following commands should work (make the necessary changes depending on the version of Gephi you downloaded):
    cd Downloads/
    tar xzvf gephi-0.9.7-linux-x64.tar.gz
    cd gephi-0.9.7/bin
    ./gephi
  3. Install the streaming plugin from the Gephi UI.
  4. Open the plugins wizard from the Tools | Plugins menu.
  5. Go to the Available Plugins tab.
  6. Search for the Graph Streaming plugin in the list and select it.
  7. Click Install.

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