Christopher Morris
Christopher Morris
Postdoc, Polytechnique Montréal
Verified email at - Homepage
Cited by
Cited by
Hierarchical graph representation learning with differentiable pooling
Z Ying, J You, C Morris, X Ren, W Hamilton, J Leskovec
Advances in neural information processing systems, 4800-4810, 2018
Weisfeiler and leman go neural: Higher-order graph neural networks
C Morris, M Ritzert, M Fey, WL Hamilton, JE Lenssen, G Rattan, M Grohe
Proceedings of the AAAI Conference on Artificial Intelligence 33, 4602-4609, 2019
Benchmark data sets for graph kernels, 2016
K Kersting, NM Kriege, C Morris, P Mutzel, M Neumann
URL http://graphkernels. cs. tu-dortmund. de 795, 2016
A survey on graph kernels
NM Kriege, FD Johansson, C Morris
Applied Network Science 5 (1), 1-42, 2020
Faster kernels for graphs with continuous attributes via hashing
C Morris, NM Kriege, K Kersting, P Mutzel
2016 IEEE 16th International Conference on Data Mining (ICDM), 1095-1100, 2016
Glocalized weisfeiler-lehman graph kernels: Global-local feature maps of graphs
C Morris, K Kersting, P Mutzel
2017 IEEE International Conference on Data Mining (ICDM), 327-336, 2017
Deep graph matching consensus
M Fey, JE Lenssen, C Morris, J Masci, NM Kriege
arXiv preprint arXiv:2001.09621, 2020
Output‐sensitive complexity of multiobjective combinatorial optimization
F Bökler, M Ehrgott, C Morris, P Mutzel
Journal of Multi‐Criteria Decision Analysis 24 (1-2), 25-36, 2017
A unifying view of explicit and implicit feature maps of graph kernels
NM Kriege, M Neumann, C Morris, K Kersting, P Mutzel
Data Mining and Knowledge Discovery 33 (6), 1505-1547, 2019
A Property Testing Framework for the Theoretical Expressivity of Graph Kernels.
NM Kriege, C Morris, A Rey, C Sohler
IJCAI, 2348-2354, 2018
Towards a practical -dimensional Weisfeiler-Leman algorithm
C Morris, P Mutzel
arXiv preprint arXiv:1904.01543, 2019
TUDataset: A collection of benchmark datasets for learning with graphs
C Morris, NM Kriege, F Bause, K Kersting, P Mutzel, M Neumann
arXiv preprint arXiv:2007.08663, 2020
Recent Advances in Kernel-Based Graph Classification
NM Kriege, C Morris
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings
C Morris, G Rattan, P Mutzel
Temporal Graph Kernels for Classifying Dissemination Processes
L Oettershagen, NM Kriege, C Morris, P Mutzel
Proceedings of the 2020 SIAM International Conference on Data Mining, 496-504, 2020
Learning with Graphs: Kernel and Neural Approaches
C Morris
The system can't perform the operation now. Try again later.
Articles 1–16