Christopher Morris
Christopher Morris
Postdoc, Polytechnique Montréal
Verified email at christophermorris.info - Homepage
Title
Cited by
Cited by
Year
Hierarchical graph representation learning with differentiable pooling
R Ying, J You, C Morris, X Ren, WL Hamilton, J Leskovec
Advances in Neural Information Processing Systems 32, 2018
4312018
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 (01), 4602-4609, 2019
3282019
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
1562016
A survey on graph kernels
NM Kriege, FD Johansson, C Morris
Applied Network Science 5 (1), 1-42, 2020
1222020
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
602016
Deep graph matching consensus
M Fey, JE Lenssen, C Morris, J Masci, NM Kriege
ICLR 2020, 2020
492020
TUDataset: A collection of benchmark datasets for learning with graphs
C Morris, NM Kriege, F Bause, K Kersting, P Mutzel, M Neumann
ICML 2020 Workshop on Graph Representation Learning and Beyond (GRL+ 2020), 2020
492020
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
492017
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
21*2019
Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings
C Morris, G Rattan, P Mutzel
Advances in Neural Information Processing Systems 33, 2020
18*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
172017
A Property Testing Framework for the Theoretical Expressivity of Graph Kernels
NM Kriege, C Morris, A Rey, C Sohler
IJCAI, 2348-2354, 2018
162018
Combinatorial optimization and reasoning with graph neural networks
Q Cappart, D Chételat, E Khalil, A Lodi, C Morris, P Veličković
arXiv preprint arXiv:2102.09544, 2021
112021
Recent Advances in Kernel-Based Graph Classification
NM Kriege, C Morris
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
22017
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs
C Morris, M Fey, NM Kriege
arXiv preprint arXiv:2105.05911, 2021
2021
Classifying Dissemination Processes in Temporal Graphs
L Oettershagen, NM Kriege, C Morris, P Mutzel
Big Data 8 (5), 363-378, 2020
2020
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
2020
Learning with Graphs: Kernel and Neural Approaches
C Morris
Universitätsbibliothek Dortmund, 2019
2019
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