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Christopher Morris
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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
16992018
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
15982019
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
991*2020
A survey on graph kernels
NM Kriege, FD Johansson, C Morris
Applied Network Science 5, 1-42, 2020
4732020
Combinatorial Optimization and Reasoning with Graph Neural Networks
PV Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi ...
Journal of Machine Learning Research 24, 2023
3282023
Deep graph matching consensus
M Fey, JE Lenssen, C Morris, J Masci, NM Kriege
ICLR 2020, 2020
2302020
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
1672020
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
1252016
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
1052017
Weisfeiler and leman go machine learning: The story so far
C Morris, Y Lipman, H Maron, B Rieck, NM Kriege, M Grohe, M Fey, ...
Journal of Machine Learning Research 24, 2023
972023
Reconstruction for Powerful Graph Representations
L Cotta, C Morris, B Ribeiro
Advances in Neural Information Processing Systems 34, 2021
762021
Attending to graph transformers
L Müller, M Galkin, C Morris, L Rampášek
TMLR, 2024
692024
Ordered Subgraph Aggregation Networks
C Qian, G Rattan, F Geerts, C Morris, M Niepert
Advances in Neural Information Processing Systems 35, 2022
482022
MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers
EB Khalil, C Morris, A Lodi
AAAI 2022, 2022
402022
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, 1505-1547, 2019
36*2019
A Property Testing Framework for the Theoretical Expressivity of Graph Kernels
NM Kriege, C Morris, A Rey, C Sohler
IJCAI, 2348-2354, 2018
362018
SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks
C Morris, G Rattan, S Kiefer, S Ravanbakhsh
ICML 2022, 2022
352022
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
34*2020
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs
C Morris, M Fey, NM Kriege
IJCAI, 2021
32*2021
Weisfeiler and Leman Go Relational
P Barcelo, M Galkin, C Morris, MR Orth
Learning on Graphs Conference, 2022
272022
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