Christopher Morris

Room: 238
Phone: +49 231 755-7707
Fax: +49 231 755-7740

Research Interests

  • Algorithm Engineering,
  • Combinatorial optimization and graph algorithms,
  • Machine learning with graphs, in particular graph kernels and feature learning

Collaborative Research Center SFB 876 - Providing Information by Resource-Constrained Data Analysis

Resource-efficient Graph Mining


Refereed Conference Articles

  • Glocalized Weisfeiler-Lehman Graph Kernels: Global-Local Feature Maps of Graphs (Preprint arXiv:1703.02379)
    Christopher Morris, Kristian Kersting, Petra Mutzel,
    IEEE International Conference on Data Mining (IEEE ICDM) 2017, Full Paper.
  • Recent Advances in Kernel-Based Graph Classification
    Nils M. Kriege, Christopher Morris
    European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2017, Nectar Track.

Refereed Journal Articles

Preprints and Working Papers


Supervised Students

  • Marcel Walker (BT, 2016): Dimensionsreduktion von Merkmalsvektoren für explizite Graphkerne
  • Christopher Osthues (BT, 2016): Experimenteller Vergleich von Labeling-Verfahren für Graphkerne
  • Serdar Ayaz (BT, 2016): Approximation des Weisfeiler-Lehman-Isomorphie-Tests durch Sampling
  • Franka Bause (BT, 2017): Approximation der Editierdistanz für Graphen in linearer Zeit
  • Ryan Ladwig (Student intern from NAU, 2017): Design and Implementation of k-disk Graph Kernels

Wintersemester 2017/18

Sommersemester 2017

Wintersemester 2016/17

Sommersemester 2016

Wintersemester 2015/16

Benchmark Data Sets


Last modified: 2017-10-18 16:39 by Christopher Morris