Applied Graph Data Science for Web Applications

Learn how to apply graph algorithms to enhance a Web application.

AppliedGDSForWebApps withTitle

About the Course

In this course you will learn how to use some graph algorithms in Neo4j. This course takes an applied approach - covering not just how to use the graph algorithms in Neo4j, but also how to leverage graph algorithms to enhance the functionality of a web application.

Prerequisites

  • Cypher programming.

  • Experience with Neo4j Desktop and Neo4j Browser.

  • JavaScript for Web applications programming experience.

  • Github account so you can clone the React application code base.

Duration

If you perform all of the hands-on exercises in this course, it will take you 4 hours to complete the course.

What you will learn

  • The Neo4j Graph Data Science Plugin

  • Personalized PageRank

  • Similarity metrics

  • Community detection

  • Using all of the above to add functionality in an application such as personalization, recommendations, and enhancing search results.

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