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Hands-On Graph Analytics with Neo4j

You're reading from   Hands-On Graph Analytics with Neo4j Perform graph processing and visualization techniques using connected data across your enterprise

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Product type Paperback
Published in Aug 2020
Publisher Packt
ISBN-13 9781839212611
Length 510 pages
Edition 1st Edition
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Author (1):
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 Scifo Scifo
Author Profile Icon Scifo
Scifo
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Toc

Table of Contents (18) Chapters Close

Preface 1. Section 1: Graph Modeling with Neo4j
2. Graph Databases FREE CHAPTER 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

Creating nodes

The simplest way to create a user is by creating an instance of the User class:

u = User(login="me", password="12345")

To save the object, or create it in Neo4j, you just have to call the save method on that instance:

u.save()

If you want to use a MERGE statement instead, you will have to use a slightly different method:

    users = User.get_or_create(
dict(
login="me",
password="<3Graphs",
email="[email protected]",
birth_date=date(2000, 1, 1),
),
)
Be careful as the get_or_create method can create several nodes at once (adding more arguments after the first dict) and return a list of nodes.

Now, go ahead and add a few more users to the graph. Once we have some users in the graph, we can retrieve them.

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