Kriege Group

Teaching

Courses

Winter Term 24

Data Mining 052311 VU
Graph Learning 052322 VU
Introduction to Machine Learning 053613 VU

Summer Term 25

Distributed and Parallel Algorithms 052114 VU
Scientific Data Management 052813 VU

Thesis Topics

Common Subgraph Problems in Tree-Like Graphs

Bachelor, Master, Practical Course
Developing anonymized datasets for Graph Neural Networks

Bachelor
Efficient Knowledge Distillation from Graph Neural Networks for Scalable e-Commerce Recommendation Systems

Bachelor, Master, Practical Course
Exploring the Impact of Floating-Point Arithmetic on the Expressivity of Graph Neural Networks (GNNs)

Bachelor, Practical Course
Investigating Factors for Effective Transfer-Learning with Chemical Graphs

Bachelor, Practical Course
Investigating the Loss Landscape of Graph Neural Networks

Bachelor, Master, Practical Course
The Complexity of Computing the Graph Edit Distance

Bachelor, Master, Practical Course
The Importance of Node & Edge features in Chemical Graphs for Molecular Property Prediction

Bachelor, Master
Your Own Idea!

Bachelor, Master, Practical Course