Data Analytics with Graph Algorithms – A Hands-on Tutorial with Neo4J

Abstract

This tutorial presents perspectives for advanced graph data analytics and covers the background of graph data management in modern data stores. It provides an overview of several well-established graph algorithms. The three categories covered are path-based algorithms, community detection and centrality scores. A deeper understanding of graph algorithms is a major precondition to efficiently analyze graph-structured data. The tutorial hence enables participants to achieve an informed decision about what kind of algorithm is appropriate for which use case.