In recent years, there has been a growing trend toward using machine learning to enhance optimization algorithms by leveraging the structure and distribution of instance data. This lecture will explore recent advances in integrating graph neural networks
with exact combinatorial solvers to tackle hard optimization problems.
Part of the programme of the research training group UnRAVeL is a series of lectures on the topics of UnRAVeL’s research thrusts algorithms and complexity, verification, logic and languages, and their application scenarios.
Each lecture is given by one of the researchers involved in UnRAVeL.
This years topic is "Highlights of UnRAVeL!". As UnRAVeL nears its conclusion, we take this opportunity
to reflect on seven years of excellent research. Through nine talks, we invite you to experience the scientific highlights of our RTG, along with its numerous successes, developments, and collaborations.
All interested doctoral researchers and master students are invited to attend the UnRAVeL lecture series 2025 and engage in discussions with researchers and doctoral students.
The overall remaining schedule is as following:
10.07.2025 - Christopher Morris - Exploring the Power of Graph Neural Networks in Solving Optimization Problems
17.07.2025 - Christina Büsing - Dealing with Uncertainty Inspired by Health Care – a Robust Optimization Approach