Book Image

Graph Data Science with Neo4j

By : Estelle Scifo
5 (1)
Book Image

Graph Data Science with Neo4j

5 (1)
By: Estelle Scifo

Overview of this book

Neo4j, along with its Graph Data Science (GDS) library, is a complete solution to store, query, and analyze graph data. As graph databases are getting more popular among developers, data scientists are likely to face such databases in their career, making it an indispensable skill to work with graph algorithms for extracting context information and improving the overall model prediction performance. Data scientists working with Python will be able to put their knowledge to work with this practical guide to Neo4j and the GDS library that offers step-by-step explanations of essential concepts and practical instructions for implementing data science techniques on graph data using the latest Neo4j version 5 and its associated libraries. You’ll start by querying Neo4j with Cypher and learn how to characterize graph datasets. As you get the hang of running graph algorithms on graph data stored into Neo4j, you’ll understand the new and advanced capabilities of the GDS library that enable you to make predictions and write data science pipelines. Using the newly released GDSL Python driver, you’ll be able to integrate graph algorithms into your ML pipeline. By the end of this book, you’ll be able to take advantage of the relationships in your dataset to improve your current model and make other types of elaborate predictions.
Table of Contents (16 chapters)
1
Part 1 – Creating Graph Data in Neo4j
4
Part 2 – Exploring and Characterizing Graph Data with Neo4j
8
Part 3 – Making Predictions on a Graph

Introducing the APOC library to deal with JSON data

The JavaScript Object Notation (JSON) file format is another data format you have probably used in your data science work. It is used by NoSQL document-like databases (or an equivalent of it, such as Binary JSON (BSON) for MongoDB). It is also one of the most used formats for data serialization and hence sharing data via web interfaces (APIs).

In this section, we will learn how to import JSON data into Neo4j. This format is not supported by Cypher directly, so we will have to rely on the APOC library to load such data. First, let’s have a look at the dataset we are going to use in this section.

Browsing the dataset

The file we are going to use contains the same data we used in the previous section but in a different format. Here is an example record from the JSON file:

{'cast': [{'name': 'Billy Magnussen'},
             ...