Christopher Morris

As of June 2022, I am a tenure-track assistant professor at RWTH Aachen University where I lead the LoG (Learning on Graphs) group. Before joining RWTH, I was a postdoc at the Mila - Quebec AI Institute and McGill University in the group of Siamak Ravanbakhsh and a postdoc at Polytechnique Montréal in the group of Andrea Lodi. Before my Montréal stint, I was a PhD student at TU Dortmund University advised by Petra Mutzel and Kristian Kersting. My PhD research was generously supported by the German Research Foundation, through the Collaborative Research Center SFB 876 - Providing Information by Resource-Constrained Data Analysis, Project A6.

In Aachen, I supervise two great PhD students Luis Müller and Chendi Qian.

I develop machine learning methods for graphs, network, and relational data.

My research combines techniques from machine learning, graph algorithms, and CS theory, and revolves around the following questions:

  1. How do we effectively capture the structure of graphs and networks in a data-driven manner?
  2. How can we scale up such methods for large-scale data?
  3. How can such methods make combinatorial algorithms faster in a data-driven manner?

For more details, please see my CV. You can also find me on Twitter and GitHub.

Fun Fact: My Erdős number is at most 3 (via Petra Mutzel → Bojan Mohar → P. Erdős)

Email: morris[ät]cs.rwth-aachen[dot]de

I am starting a new group at RWTH Aachen in Germany and have multiple openings for fully-funded PhD positions.

We are looking for a student assistent interested in implementing state-of-the-art machine learning architectures for graphs, click here.

Unfortunately, currently, we do not have open spots for master or bachelor thesis.


Publications (Scholar)

Conference Papers

Journal Papers

Book Chapters

Workshop Papers

Edited Workshop and Competition Proceedings

Working Papers



SS 23   Class (Master): Foundations and Applications of Machine Learning with Graphs
Seminar (Bachelor): Maschinelles Lernen mit Graphen
WS 22/23   Seminar (Master): Foundations of Supervised Machine Learning with Graphs
Seminar (Master): Machine Learning for Combinatorial Optimization