Christopher Morris


chris ät
Mila - Quebec AI Institute

I am postdoc at the Mila - Quebec AI Institute and McGill University in the group of Siamak Ravanbakhsh. Previously, I was a postdoc at Polytechnique Montréal in the group of Andrea Lodi. Before coming to Montréal, 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

  • Reconstruction for Powerful Graph Representations
    Leonardo Cotta, Christopher Morris, Bruno Ribeiro
    Neural Information Processing Systems (NeurIPS) 2021.
  • 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