Diese Seite auf DE
Event
Seminar Graph Representation Learning (Bachelor) [SS232513318]
Lecturers
Organisation
- Web Science
Part of
- Brick Seminar in Informatics (Bachelor) | Industrial Engineering and Management (B.Sc.)
- Brick Seminar in Informatics (Bachelor) | Economics Engineering (B.Sc.)
- Brick Seminar in Informatics (Bachelor) | Digital Economics (B.Sc.)
- Brick Seminar in Informatics (Bachelor) | Information Systems (B.Sc.)
- Brick Seminar in Informatics (Bachelor) | Information Engineering and Management (B.Sc.)
Note
Graphs are a natural way to represent the information of objects and the topological relationship between them. They are the basis for various applications ranging from recommender systems, finance, social networks, and personal assistants (e.g., Alexa).
In this seminar, students will read, discuss, and work on graph algorithms based on scientific literature, including most recent methods for analyzing and creating large graphs (e.g., link prediction on knowledge graphs using graph neural networks), and methods for making the behavior of neural networks based on graphs explainable (e.g., generating text based on a subgraph).