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Graph Data Processing with Cypher

You're reading from   Graph Data Processing with Cypher A practical guide to building graph traversal queries using the Cypher syntax on Neo4j

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Product type Paperback
Published in Dec 2022
Publisher Packt
ISBN-13 9781804611074
Length 332 pages
Edition 1st Edition
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Author (1):
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Ravindranatha Anthapu Ravindranatha Anthapu
Author Profile Icon Ravindranatha Anthapu
Ravindranatha Anthapu
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Toc

Table of Contents (18) Chapters Close

Preface 1. Part 1: Cypher Introduction
2. Chapter 1: Introduction to Neo4j and Cypher FREE CHAPTER 3. Chapter 2: Components of Cypher 4. Part 2: Working with Cypher
5. Chapter 3: Loading Data with Cypher 6. Chapter 4: Querying Graph 7. Chapter 5: Filtering, Sorting, and Aggregations 8. Chapter 6: List Expressions, UNION, and Subqueries 9. Part 3: Advanced Cypher Concepts
10. Chapter 7: Working with Lists and Maps 11. Chapter 8: Advanced Query Patterns 12. Chapter 9: Query Tuning 13. Chapter 10: Using APOC Utilities 14. Chapter 11: Cypher Ecosystem 15. Chapter 12: Tips and Tricks 16. Index 17. Other Books You May Enjoy

Using the nodes syntax

In Cypher, a node is surrounded by parentheses, (), making it resemble a circle in a diagram. Here are some example usages in Cypher:

  • (p) – This represents a node identified with the p variable/alias. It can be of any type.
  • () – This represents a node that is not assigned a variable or an alias. This is normally called an anonymous node, as it cannot be referenced later, except as part of a path.
  • (:Person) – This represents a node with the Person label, but is not assigned to a variable or an alias.
  • (p:Person) – This represents a node with a Person label, identified with the p variable/alias.
  • (l:Location:Work) – This represents a node with multiple labels, Location and Work, identified with the l variable/alias.

Let’s move on to the relationships syntax.

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