Learn how to use Graph Algorithms of the Graph Data Science Library for Neo4j 4.0.

IntroGraphAlgos 40 withTitle

About the Course

This online course is a collection of lessons and hands-on exercises that teach you best practices for using graph algorithms with Neo4j.

Prerequisites

You must have Cypher programming experience to take this course.

Duration

If you perform all of the hands-on exercises in this course, it will take you 5 hours to complete the course.

What you will learn

  • What graph algorithms are.

  • What the Graph Data Science Library is.

  • Workflow best practices when executing graph algorithms.

  • Setting up your training environment for using graph algorithms.

  • Managing graphs during the workflow for graph algorithms.

  • Estimating memory requirements.

  • Using Community Detection algorithms.

  • Using Centrality algorithms.

  • Using Similarity algorithms.

  • Practical application of graph algorithms.

  • Additional information for using algorithms effectively.

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