Obserwuj
Christopher Morris
Christopher Morris
RWTH Aachen
Zweryfikowany adres z christophermorris.info - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
8182018
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
6502019
A survey on graph kernels
NM Kriege, FD Johansson, C Morris
Applied Network Science 5 (1), 1-42, 2020
2272020
Benchmark data sets for graph kernels
K Kersting, NM Kriege, C Morris, P Mutzel, M Neumann
2142016
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
1902020
Deep graph matching consensus
M Fey, JE Lenssen, C Morris, J Masci, NM Kriege
ICLR 2020, 2020
1182020
Combinatorial optimization and reasoning with graph neural networks
Q Cappart, D Chételat, E Khalil, A Lodi, C Morris, P Veličković
IJCAI, 2021
812021
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
752016
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
702017
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
53*2020
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
25*2019
A Property Testing Framework for the Theoretical Expressivity of Graph Kernels
NM Kriege, C Morris, A Rey, C Sohler
IJCAI, 2348-2354, 2018
222018
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
202017
Reconstruction for Powerful Graph Representations
L Cotta, C Morris, B Ribeiro
Advances in Neural Information Processing Systems 34, 2021
122021
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
12*2020
Weisfeiler and leman go machine learning: The story so far
C Morris, Y Lipman, H Maron, B Rieck, NM Kriege, M Grohe, M Fey, ...
arXiv preprint arXiv:2112.09992, 2021
92021
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs
C Morris, M Fey, NM Kriege
IJCAI, 2021
42021
SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks
C Morris, G Rattan, S Kiefer, S Ravanbakhsh
ICML 2022, 2022
32022
Recent Advances in Kernel-Based Graph Classification
NM Kriege, C Morris
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
32017
Learning with Graphs: Kernel and Neural Approaches
C Morris
Technical University of Dortmund, Germany, 2019
12019
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20