Christopher Morris


chris ät
Université de Montréal Campus André-Aisenstadt Building 2920, Chemin de la Tour

I am postdoc at Polytechnique Montréal in the group of Andrea Lodi. Previously, 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.

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.

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

Conference Papers

  • The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs
    Christopher Morris, Matthias Fey, Nils M. Kriege,
    International Joint Conference on Artificial Intelligence (IJCAI) 2021.

Journal Papers

Workshop Papers

Working Papers


  • 15.01.2018–31.03.2018: Research stay at Stanford University with Jure Leskovec
I maintain a growing collection of benchmark datasets for supervised graph classification.