In this seminar we will introduce the basic concepts and building blocks behind Knowledge Graphs and Graph Neural Networks (GNNs). We will describe how they are used to make prediction about graph and entity properties and about relationship between entities. We will dive into some use cases where GNNs are used in the health domain, providing best practices and lessons learned from past projects.