Christopher Morris
Cited by
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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
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
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
A survey on graph kernels
NM Kriege, FD Johansson, C Morris
Applied Network Science 5, 1-42, 2020
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
Deep graph matching consensus
M Fey, JE Lenssen, C Morris, J Masci, NM Kriege
ICLR 2020, 2020
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
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
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
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
Reconstruction for Powerful Graph Representations
L Cotta, C Morris, B Ribeiro
Advances in Neural Information Processing Systems 34, 2021
Attending to graph transformers
L Müller, M Galkin, C Morris, L Rampášek
TMLR, 2024
Ordered Subgraph Aggregation Networks
C Qian, G Rattan, F Geerts, C Morris, M Niepert
Advances in Neural Information Processing Systems 35, 2022
MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers
EB Khalil, C Morris, A Lodi
AAAI 2022, 2022
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
A Property Testing Framework for the Theoretical Expressivity of Graph Kernels
NM Kriege, C Morris, A Rey, C Sohler
IJCAI, 2348-2354, 2018
SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks
C Morris, G Rattan, S Kiefer, S Ravanbakhsh
ICML 2022, 2022
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
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
Weisfeiler and Leman Go Relational
P Barcelo, M Galkin, C Morris, MR Orth
Learning on Graphs Conference, 2022
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