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Hands-On Graph Analytics with Neo4j

You're reading from  Hands-On Graph Analytics with Neo4j

Product type Book
Published in Aug 2020
Publisher Packt
ISBN-13 9781839212611
Pages 510 pages
Edition 1st Edition
Languages
Author (1):
Estelle Scifo Estelle Scifo
Profile icon Estelle Scifo

Table of Contents (18) Chapters

Preface 1. Section 1: Graph Modeling with Neo4j
2. Graph Databases 3. The Cypher Query Language 4. Empowering Your Business with Pure Cypher 5. Section 2: Graph Algorithms
6. The Graph Data Science Library and Path Finding 7. Spatial Data 8. Node Importance 9. Community Detection and Similarity Measures 10. Section 3: Machine Learning on Graphs
11. Using Graph-based Features in Machine Learning 12. Predicting Relationships 13. Graph Embedding - from Graphs to Matrices 14. Section 4: Neo4j for Production
15. Using Neo4j in Your Web Application 16. Neo4j at Scale 17. Other Books You May Enjoy

Technical requirements

The following tools will be used throughout this chapter:

  • Neo4j with the Graph Data Science plugin
  • Python (recommended ≥ 3.6) with the following requirements:
  • neo4j, the official Neo4j Python driver (≥ 4.0.2)
  • networkx for graph management in Python (optional)
  • matplotlib and seaborn for data visualization
  • pandas
  • scikit-learn
  • Jupyter to run notebooks (optional)

If you are using Neo4j < 4.0, then the latest compatible version of the GDS plugin is 1.1, whereas if you are using Neo4j ≥ 4.0, then the first compatible version of the GDS plugin is 1.2.

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