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You're reading from  Hands-On Graph Analytics with Neo4j

Product typeBook
Published inAug 2020
PublisherPackt
ISBN-139781839212611
Edition1st Edition
Tools
Neo4j
Concepts
Database Programming
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Author (1)
Estelle Scifo
Estelle Scifo
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Estelle Scifo

Estelle Scifo possesses over 7 years experience as a data scientist, after receiving her PhD from the Laboratoire de lAcclrateur Linaire, Orsay (affiliated to CERN in Geneva). As a Neo4j certified professional, she uses graph databases on a daily basis and takes full advantage of its features to build efficient machine learning models out of this data. In addition, she is also a data science mentor to guide newcomers into the field. Her domain expertise and deep insight into the perspective of the beginners needs make her an excellent teacher.
Read more about Estelle Scifo

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Summary

In this chapter, we discussed how to build a web application using Neo4j as the main database. You should now be able to build a web application backed by Neo4j using either Python, its neomodel package, and the Flask framework to build a full-stack web application (back and frontend); GraphQL, to build an API out of Neo4j that can be plugged to any existing frontend; or GRANDstack, which allows you to create a frontend application for retrieving data from Neo4j using a GraphQL API.

Even though we have specifically addressed the concepts of users and repositories, this knowledge can be extended to any other type of object and relationship pretty easily; for example, repositories can become products, movies, or posts written by the user. If you have used a link prediction algorithm to build a followers recommendation engine, as we did in Chapter 9, Predicting Relationships, you can use the knowledge you've gained in this chapter to show a list of recommended users to follow...

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Hands-On Graph Analytics with Neo4j
Published in: Aug 2020Publisher: PacktISBN-13: 9781839212611
© 2020 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Estelle Scifo

Estelle Scifo possesses over 7 years experience as a data scientist, after receiving her PhD from the Laboratoire de lAcclrateur Linaire, Orsay (affiliated to CERN in Geneva). As a Neo4j certified professional, she uses graph databases on a daily basis and takes full advantage of its features to build efficient machine learning models out of this data. In addition, she is also a data science mentor to guide newcomers into the field. Her domain expertise and deep insight into the perspective of the beginners needs make her an excellent teacher.
Read more about Estelle Scifo

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