Graph Databases

This teaching material supports the course Data Management taught at KU Leuven University [GOZ53a] and the course Modern Data Analytics [GOZ39a]. The material covers the following topics: Update : November 2023

Goal of the course

• Know how to create graphs from data

• Understand graph topology

• Master the Cypher language of neo4j

• Apply algorithms on graphs

Contents:

• Graph Databases
  • Definition
  • Overview of the Different Platforms
  • Neo4j Introduction
  • Using Neo4j
• Neo4j
  • Components
  • Browser
  • Reading Material
  • GraphGists
• Cypher
  • Nodes & Relationships
  • Patterns
  • Querying the graph
  • Syntax
  • Basic Queries
  • Set, Create, Update, and Delete Operations
  • Maps
  • Functions
  • Indexes for search performance
  • Importing Data
  • Python and Neo4j
  • APOC
• Case Studies
  • Bank Fraud Detection
  • Game of Thrones
• Algorithms
  • Graph Catalog
  • Calling Procedures
  • Graph Datascience Library in Neo4j
  • Pathfinding
  • Centrality Measures
  • Community Detection
  • Graph Apps Gallery
• Exercises
  • James Bond
  • Panama Papers

Indices and tables

• Index

• Module Index

• Search Page

Last change: Oct 30, 2023