Niklas Kemper

Hi, I'm Niklas. I'm doing my PhD in Stephan Günnemann's Data Analytics and Machine Learning Group at the Technical University of Munich.

I'm curious about many things, but so far my research has focused on machine learning for discrete structured data. I started with graphs and have more recently been exploring discrete generation.

This is where I share my research and, from time to time, notes on what I'm working on. Feel free to get in touch.

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Publications

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  1. Trajectory Matching: Discrete Flow Matching with Structured Actions

    Niklas Kemper, Marten Lienen, David Lüdke, Stephan Günnemann

    Preprint

  2. What Expressivity Theory Misses: Message Passing Complexity for GNNs

    Niklas Kemper, Tom Wollschläger, Stephan Günnemann

    NeurIPS 2025Spotlight

  3. Expressivity and Generalization: Fragment-Biases for Molecular GNNs

    Tom Wollschläger*, Niklas Kemper*, Leon Hetzel, Johanna Sommer, Stephan Günnemann

    ICML 2024Oral presentation

    * Equal contribution

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