Christopher Morris

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Nils M. KriegeUniversity of ViennaAdresse e-mail validée de univie.ac.at
Petra MutzelProfessorin für Informatik, Universität BonnAdresse e-mail validée de cs.uni-bonn.de
Martin GroheProfessor of Computer Science, RWTH Aachen UniversityAdresse e-mail validée de informatik.rwth-aachen.de
Kristian KerstingProfessor of AI & ML, Technical University of Darmstadt, Co-Director hessian.ai, DFKI, CAIRNE, ELLISAdresse e-mail validée de cs.tu-darmstadt.de
Matthias FeyFounding Engineer @ kumo.aiAdresse e-mail validée de tu-dortmund.de
Gaurav RattanAssistant Professor, University of TwenteAdresse e-mail validée de utwente.nl
William L HamiltonAssistant Professor of Computer Science, McGill University and MilaAdresse e-mail validée de cs.mcgill.ca
Marion NeumannWashington University in St. LouisAdresse e-mail validée de wustl.edu
Jan Eric LenssenMax Planck Institute for Informatics, Kumo.aiAdresse e-mail validée de mpi-inf.mpg.de
Jure LeskovecProfessor of Computer Science, Stanford UniversityAdresse e-mail validée de cs.stanford.edu
Rex (Zhitao) YingYale UniversityAdresse e-mail validée de yale.edu
Sean (Xiang) RenViterbi Early Career Chair & Associate Professor, University of Southern CaliforniaAdresse e-mail validée de usc.edu
Jiaxuan YouAssistant Professor, UIUC CSAdresse e-mail validée de cs.stanford.edu
Martin RitzertGeorg-August Universität GöttingenAdresse e-mail validée de informatik.uni-goettingen.de
Floris GeertsUniversity of AntwerpAdresse e-mail validée de uantwerp.be
Elias B. KhalilAssistant Professor, University of TorontoAdresse e-mail validée de mie.utoronto.ca
Andrea LodiCornell Tech and Technion -- IITAdresse e-mail validée de cornell.edu
Didier ChételatSenior Researcher, Huawei Noah's Ark labAdresse e-mail validée de huawei.com
Chendi QianRWTH Aachen UniversityAdresse e-mail validée de hltpr.rwth-aachen.de
Franka BauseUniversity of ViennaAdresse e-mail validée de univie.ac.at

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Christopher Morris

RWTH Aachen University

Adresse e-mail validée de cs.rwth-aachen.de - Page d'accueil

Machine learning on graphs graph neural networks machine learning for combinatorial optimization


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	1952	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	1946	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	1233*	2020
A survey on graph kernels NM Kriege, FD Johansson, C Morris Applied Network Science 5, 1-42, 2020	540	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	433	2023
Deep graph matching consensus M Fey, JE Lenssen, C Morris, J Masci, NM Kriege ICLR 2020, 2020	252	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	199	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, ... Journal of Machine Learning Research 24, 2023	136	2023
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	135	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	113	2017
Attending to graph transformers L Müller, M Galkin, C Morris, L Rampášek TMLR, 2024	102	2024
Reconstruction for Powerful Graph Representations L Cotta, C Morris, B Ribeiro Advances in Neural Information Processing Systems 34, 2021	97	2021
Ordered Subgraph Aggregation Networks C Qian, G Rattan, F Geerts, C Morris, M Niepert Advances in Neural Information Processing Systems 35, 2022	74	2022
MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers EB Khalil, C Morris, A Lodi AAAI 2022, 2022	62	2022
SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks C Morris, G Rattan, S Kiefer, S Ravanbakhsh ICML 2022, 2022	44	2022
The machine learning for combinatorial optimization competition (ml4co): Results and insights M Gasse, S Bowly, Q Cappart, J Charfreitag, L Charlin, D Chételat, ... NeurIPS 2021 competitions and demonstrations track, 220-231, 2022	40	2022
A Property Testing Framework for the Theoretical Expressivity of Graph Kernels NM Kriege, C Morris, A Rey, C Sohler IJCAI, 2348-2354, 2018	39	2018
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	38*	2019
Weisfeiler and Leman Go Relational P Barcelo, M Galkin, C Morris, MR Orth Learning on Graphs Conference, 2022	37	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	37*	2020

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