In this seminar we will introduce the basic concepts and building blocks behind a Knowledge Graph (nodes, edges, embedding) and how they are used to describe entities and their relationships. We will dive into some use cases where Knowledge Graphs are used in the health domain and we will give an overview of cases where they can be leveraged in drug discovery and other application in the pharmaceutical sector. In the last part, we will briefly showcase how neural networks have been adapted to leverage structures and properties of graphs