Seminar Knowledge Graph Representation Learning SoSe 2026

Representation learning is a set of methods which allows finding suitable feature representations of input data to perform particular tasks. Such methods can be applied on textual data (e.g. via language models), images and structured data. The resulting features are usually called embeddings. In this seminar, we study representation learning methods for knowledge graphs.