Graph Data Structures: Understanding Graphs & Knowledge Graphs

Graphs are used to model a large number of real-world scenarios including professional networks flight networks and schedules. Working in these problem domains involves a deep understanding of how graphs are represented and how graph algorithms work. Learn the basic components of a graph and how nodes and edges can be used to model relationships. Examine how domains such as social networks purchases on an e-commerce platform and connected devices can be modeled using graphs. Next explore how to use an organizing principle to add semantic meaning and context to graphs. Discover how to apply higher-level organizing principles to knowledge graphs using taxonomies and ontologies. Finally get hands-on experience creating and manipulating graphs and running graph algorithms using the NetworkX library in Python. When you have completed this course you will have a solid understanding of how graphs model entities and relationships in the real world.