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

Importing data in the cloud

To import data into Neo4j Aura, the cloud-hosted Neo4j database, we can use the aforementioned method of reading files from an accessible URL. But Neo4j also provides a frontend application that can deal with CSV files only.

Starting from a Neo4j Aura console, as illustrated in Figure 1.11 in Chapter 1, Introducing and Installing Neo4j, you can click on the Import button. That will open the data importer login window, as shown in the following screenshot:

Figure 2.10 – Logging into Neo4j Data Importer

Figure 2.10 – Logging into Neo4j Data Importer

After entering your credentials, you will be redirected to the application. The UI is made up of three parts:

  • The Files manager, on the left: The area where you can drag and drop the files to be imported
  • The graph view (middle panel): This is where you can draw your graph schema, including nodes and relationships
  • Mapping details: In this section, you can define node and relationship properties, and you...