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Graph Data Science with Neo4j

You're reading from   Graph Data Science with Neo4j Learn how to use Neo4j 5 with Graph Data Science library 2.0 and its Python driver for your project

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Product type Paperback
Published in Jan 2023
Publisher Packt
ISBN-13 9781804612743
Length 288 pages
Edition 1st Edition
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Author (1):
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Estelle Scifo Estelle Scifo
Author Profile Icon Estelle Scifo
Estelle Scifo
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Table of Contents (16) Chapters Close

Preface 1. Part 1 – Creating Graph Data in Neo4j
2. Chapter 1: Introducing and Installing Neo4j FREE CHAPTER 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

Inserting data into Neo4j with Cypher, the Neo4j query language

Cypher, as we discussed at the beginning of this chapter, is the query language developed by Neo4j. It is used by other graph database vendors, such as Redis Graph.

First, let’s create some nodes in our newly created database.

To do so, open Neo4j Browser by clicking on the Open button next to your database and selecting Neo4j Browser:

Figure 1.12 – Start the Neo4j Browser application from Neo4j Desktop

Figure 1.12 – Start the Neo4j Browser application from Neo4j Desktop

From there, you can start and write Cypher queries in the upper text area.

Let’s start and create some nodes with the following Cypher query:

CREATE (:User {name: "Alice", birthPlace: "Paris"})
CREATE (:User {name: "Bob", birthPlace: "London"})
CREATE (:User {name: "Carol", birthPlace: "London"})
CREATE (:User {name: "Dave", birthPlace: "London"})
CREATE (:User {name: "Eve", birthPlace: "Rome"})

Before running the query, let me detail its syntax:

Figure 1.13 – Anatomy of a node creation Cypher statement

Figure 1.13 – Anatomy of a node creation Cypher statement

Note that all of these components except for the parentheses are optional. You can create a node with no label and no properties with CREATE (), even if creating an empty record wouldn’t be really useful for data storage purposes.

Tips

You can copy and paste the preceding query and execute it as-is; multiple line queries are allowed by default in Neo4j Browser.

If the upper text area is not large enough, press the Esc key to maximize it.

Now that we’ve created some nodes and since we are dealing with a graph database, it is time to learn how to connect these nodes by creating edges, or, in Neo4j language, relationships.

The following code snippet starts by fetching the start and end nodes (Alice and Bob), then creates a relationship between them. The created relationship is of the KNOWS type and carries one property (the date Alice and Bob met):

MATCH (alice:User {name: "Alice"})
MATCH (bob:User {name: "Bob"})
CREATE (alice)-[:KNOWS {since: "2022-12-01"}]->(bob)

We could have also put all our CREATE statements into one big query, for instance, by adding aliases to the created nodes:

CREATE (alice:User {name: "Alice", birthPlace: "Paris"})
CREATE (bob:User {name: "Bob", birthPlace: "London"})
CREATE (alice)-[:KNOWS {since: "2022-12-01"}]->(bob)

Note

In Neo4j, relationships are directed, meaning you have to specify a direction when creating them, which we can do thanks to the > symbol. However, Cypher lets you select data regardless of the relationship’s direction. We’ll discuss this when appropriate in the subsequent chapters.

Inserting data into the database is one thing, but without the ability to query and retrieve this data, databases would be useless. In the next section, we are going to use Cypher’s powerful pattern matching to read data from Neo4j.

You have been reading a chapter from
Graph Data Science with Neo4j
Published in: Jan 2023
Publisher: Packt
ISBN-13: 9781804612743
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