default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDChristopher Morris 0001
Person information
- affiliation: RWTH Aachen University, Germany
- affiliation (former): Mila - Quebec AI Institute, Canada
- affiliation (former): McGill University, Montreal, Quebec, Canada
- affiliation (former): Polytechnique Montréal, QC, Canada
- affiliation (former): TU Dortmund, Department of Computer Science, Germany
Other persons with the same name
- Christopher Morris 0002 — University of Birmingham, UK
- Christopher Morris 0003 — Carnegie Mellon University, Pittsburgh, PA, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
Books and Theses
- 2019
[b1]Christopher Morris:
Learning with graphs: kernel and neural approaches. Technical University of Dortmund, Germany, 2019
Journal Articles
- 2024
- [j6]Luis Müller, Mikhail Galkin, Christopher Morris, Ladislav Rampásek:
Attending to Graph Transformers. Trans. Mach. Learn. Res. 2024 (2024) - 2023
- [j5]Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic:
Combinatorial Optimization and Reasoning with Graph Neural Networks. J. Mach. Learn. Res. 24: 130:1-130:61 (2023) - [j4]Christopher Morris, Yaron Lipman, Haggai Maron, Bastian Rieck, Nils M. Kriege, Martin Grohe, Matthias Fey, Karsten M. Borgwardt:
Weisfeiler and Leman go Machine Learning: The Story so far. J. Mach. Learn. Res. 24: 333:1-333:59 (2023) - 2020
- [j3]Nils M. Kriege
, Fredrik D. Johansson, Christopher Morris:
A survey on graph kernels. Appl. Netw. Sci. 5(1): 6 (2020) - [j2]Lutz Oettershagen, Nils M. Kriege, Christopher Morris, Petra Mutzel:
Classifying Dissemination Processes in Temporal Graphs. Big Data 8(5): 363-378 (2020) - 2019
- [j1]Nils M. Kriege, Marion Neumann, Christopher Morris, Kristian Kersting, Petra Mutzel:
A unifying view of explicit and implicit feature maps of graph kernels. Data Min. Knowl. Discov. 33(6): 1505-1547 (2019)
Conference and Workshop Papers
- 2024
- [c25]Chendi Qian, Didier Chételat, Christopher Morris:
Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems. AISTATS 2024: 1432-1440 - [c24]Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, Callum McLean, Frederik Wenkel, Luis Müller, Jama Hussein Mohamud, Ali Parviz, Michael Craig, Michal Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew W. Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters:
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets. ICLR 2024 - [c23]Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Van den Broeck, Mathias Niepert, Christopher Morris:
Probabilistically Rewired Message-Passing Neural Networks. ICLR 2024 - [c22]Christopher Morris, Fabrizio Frasca, Nadav Dym, Haggai Maron, Ismail Ilkan Ceylan, Ron Levie, Derek Lim, Michael M. Bronstein, Martin Grohe, Stefanie Jegelka:
Position: Future Directions in the Theory of Graph Machine Learning. ICML 2024 - [c21]Billy Joe Franks, Christopher Morris, Ameya Velingker, Floris Geerts:
Weisfeiler-Leman at the margin: When more expressivity matters. ICML 2024 - [c20]Luis Müller, Christopher Morris:
Aligning Transformers with Weisfeiler-Leman. ICML 2024 - 2023
- [c19]Christopher Morris, Floris Geerts, Jan Tönshoff, Martin Grohe:
WL meet VC. ICML 2023: 25275-25302 - [c18]Jan Böker, Ron Levie, Ningyuan Huang, Soledad Villar, Christopher Morris:
Fine-grained Expressivity of Graph Neural Networks. NeurIPS 2023 - 2022
- [c17]Elias B. Khalil, Christopher Morris, Andrea Lodi:
MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers. AAAI 2022: 10219-10227 - [c16]Christopher Morris, Gaurav Rattan, Sandra Kiefer, Siamak Ravanbakhsh:
SpeqNets: Sparsity-aware permutation-equivariant graph networks. ICML 2022: 16017-16042 - [c15]Pablo Barceló, Mikhail Galkin, Christopher Morris, Miguel A. Romero Orth:
Weisfeiler and Leman Go Relational. LoG 2022: 46 - [c14]Chendi Qian, Gaurav Rattan, Floris Geerts, Mathias Niepert, Christopher Morris:
Ordered Subgraph Aggregation Networks. NeurIPS 2022 - 2021
- [c13]Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic:
Combinatorial Optimization and Reasoning with Graph Neural Networks. IJCAI 2021: 4348-4355 - [c12]Christopher Morris, Matthias Fey, Nils M. Kriege:
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs. IJCAI 2021: 4543-4550 - [c11]Maxime Gasse, Simon Bowly, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia Chmiela, Justin Dumouchelle, Ambros M. Gleixner, Aleksandr M. Kazachkov, Elias B. Khalil, Pawel Lichocki, Andrea Lodi, Miles Lubin, Chris J. Maddison, Christopher Morris, Dimitri J. Papageorgiou, Augustin Parjadis, Sebastian Pokutta, Antoine Prouvost, Lara Scavuzzo, Giulia Zarpellon, Linxin Yang, Sha Lai, Akang Wang, Xiaodong Luo, Xiang Zhou, Haohan Huang, Sheng Cheng Shao, Yuanming Zhu, Dong Zhang, Tao Quan, Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou, Binbin Chen, Minggui He, Hao Hao, Zhiyu Zhang, Zhiwu An, Kun Mao:
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. NeurIPS (Competition and Demos) 2021: 220-231 - [c10]Leonardo Cotta, Christopher Morris, Bruno Ribeiro:
Reconstruction for Powerful Graph Representations. NeurIPS 2021: 1713-1726 - 2020
- [c9]Matthias Fey, Jan Eric Lenssen, Christopher Morris, Jonathan Masci, Nils M. Kriege:
Deep Graph Matching Consensus. ICLR 2020 - [c8]Christopher Morris, Gaurav Rattan, Petra Mutzel:
Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings. NeurIPS 2020 - [c7]Lutz Oettershagen, Nils M. Kriege, Christopher Morris, Petra Mutzel:
Temporal Graph Kernels for Classifying Dissemination Processes. SDM 2020: 496-504 - 2019
- [c6]Christopher Morris, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan, Martin Grohe:
Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks. AAAI 2019: 4602-4609 - 2018
- [c5]Nils M. Kriege, Christopher Morris, Anja Rey, Christian Sohler:
A Property Testing Framework for the Theoretical Expressivity of Graph Kernels. IJCAI 2018: 2348-2354 - [c4]Zhitao Ying, Jiaxuan You, Christopher Morris, Xiang Ren, William L. Hamilton, Jure Leskovec:
Hierarchical Graph Representation Learning with Differentiable Pooling. NeurIPS 2018: 4805-4815 - 2017
- [c3]Christopher Morris, Kristian Kersting, Petra Mutzel:
Glocalized Weisfeiler-Lehman Graph Kernels: Global-Local Feature Maps of Graphs. ICDM 2017: 327-336 - [c2]Nils M. Kriege, Christopher Morris:
Recent Advances in Kernel-Based Graph Classification. ECML/PKDD (3) 2017: 388-392 - 2016
- [c1]Christopher Morris, Nils M. Kriege, Kristian Kersting, Petra Mutzel:
Faster Kernels for Graphs with Continuous Attributes via Hashing. ICDM 2016: 1095-1100
Parts in Books or Collections
- 2022
- [p2]Nils M. Kriege, Christopher Morris:
The Weisfeiler-Leman Method for Machine Learning with Graphs. Mach. Learn. under Resour. Constraints Vol. 1 (1) 2022: 116-128 - 2019
- [p1]Christopher Morris:
Lernen mit Graphen: Kern- und neuronale Methoden. Ausgezeichnete Informatikdissertationen 2019: 169-178
Informal and Other Publications
- 2024
- [i33]Luis Müller, Christopher Morris:
Towards Principled Graph Transformers. CoRR abs/2401.10119 (2024) - [i32]Christopher Morris, Nadav Dym, Haggai Maron, Ismail Ilkan Ceylan, Fabrizio Frasca, Ron Levie, Derek Lim, Michael M. Bronstein, Martin Grohe, Stefanie Jegelka:
Future Directions in Foundations of Graph Machine Learning. CoRR abs/2402.02287 (2024) - [i31]Billy Joe Franks, Christopher Morris, Ameya Velingker, Floris Geerts:
Weisfeiler-Leman at the margin: When more expressivity matters. CoRR abs/2402.07568 (2024) - [i30]Chendi Qian, Andrei Manolache, Christopher Morris, Mathias Niepert:
Probabilistic Graph Rewiring via Virtual Nodes. CoRR abs/2405.17311 (2024) - [i29]Luis Müller, Christopher Morris:
Aligning Transformers with Weisfeiler-Leman. CoRR abs/2406.03148 (2024) - [i28]Antoine Siraudin, Fragkiskos D. Malliaros, Christopher Morris:
Cometh: A continuous-time discrete-state graph diffusion model. CoRR abs/2406.06449 (2024) - 2023
- [i27]Christopher Morris, Floris Geerts, Jan Tönshoff, Martin Grohe:
WL meet VC. CoRR abs/2301.11039 (2023) - [i26]Luis Müller, Mikhail Galkin, Christopher Morris, Ladislav Rampásek:
Attending to Graph Transformers. CoRR abs/2302.04181 (2023) - [i25]Jan Böker, Ron Levie, Ningyuan Huang, Soledad Villar, Christopher Morris:
Fine-grained Expressivity of Graph Neural Networks. CoRR abs/2306.03698 (2023) - [i24]Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Van den Broeck, Mathias Niepert, Christopher Morris:
Probabilistically Rewired Message-Passing Neural Networks. CoRR abs/2310.02156 (2023) - [i23]Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, Callum McLean, Frederik Wenkel, Luis Müller, Jama Hussein Mohamud, Ali Parviz, Michael Craig, Michal Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Ioannis Koutis, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew W. Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters:
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets. CoRR abs/2310.04292 (2023) - [i22]Chendi Qian, Didier Chételat, Christopher Morris:
Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems. CoRR abs/2310.10603 (2023) - 2022
- [i21]Maxime Gasse, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia Chmiela, Justin Dumouchelle, Ambros M. Gleixner, Aleksandr M. Kazachkov, Elias B. Khalil, Pawel Lichocki, Andrea Lodi, Miles Lubin, Chris J. Maddison, Christopher Morris, Dimitri J. Papageorgiou, Augustin Parjadis, Sebastian Pokutta, Antoine Prouvost, Lara Scavuzzo, Giulia Zarpellon, Linxin Yang, Sha Lai, Akang Wang, Xiaodong Luo, Xiang Zhou, Haohan Huang, Sheng Cheng Shao, Yuanming Zhu, Dong Zhang, Tao Quan, Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou, Binbin Chen, Minggui He, Hao Hao, Zhiyu Zhang, Zhiwu An, Kun Mao:
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. CoRR abs/2203.02433 (2022) - [i20]Christopher Morris, Gaurav Rattan, Sandra Kiefer, Siamak Ravanbakhsh:
SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks. CoRR abs/2203.13913 (2022) - [i19]Elias B. Khalil, Christopher Morris, Andrea Lodi:
MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers. CoRR abs/2205.14210 (2022) - [i18]Chendi Qian, Gaurav Rattan, Floris Geerts, Christopher Morris, Mathias Niepert:
Ordered Subgraph Aggregation Networks. CoRR abs/2206.11168 (2022) - [i17]Pablo Barceló, Mikhail Galkin, Christopher Morris, Miguel A. Romero Orth:
Weisfeiler and Leman Go Relational. CoRR abs/2211.17113 (2022) - [i16]Martin Grohe, Stephan Günnemann, Stefanie Jegelka, Christopher Morris:
Graph Embeddings: Theory meets Practice (Dagstuhl Seminar 22132). Dagstuhl Reports 12(3): 141-155 (2022) - 2021
- [i15]Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic:
Combinatorial optimization and reasoning with graph neural networks. CoRR abs/2102.09544 (2021) - [i14]Christopher Morris, Matthias Fey, Nils M. Kriege:
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs. CoRR abs/2105.05911 (2021) - [i13]Leonardo Cotta, Christopher Morris, Bruno Ribeiro:
Reconstruction for Powerful Graph Representations. CoRR abs/2110.00577 (2021) - [i12]Christopher Morris, Yaron Lipman, Haggai Maron, Bastian Rieck, Nils M. Kriege, Martin Grohe, Matthias Fey, Karsten M. Borgwardt:
Weisfeiler and Leman go Machine Learning: The Story so far. CoRR abs/2112.09992 (2021) - 2020
- [i11]Matthias Fey, Jan Eric Lenssen, Christopher Morris, Jonathan Masci, Nils M. Kriege:
Deep Graph Matching Consensus. CoRR abs/2001.09621 (2020) - [i10]Christopher Morris, Nils M. Kriege, Franka Bause, Kristian Kersting, Petra Mutzel, Marion Neumann:
TUDataset: A collection of benchmark datasets for learning with graphs. CoRR abs/2007.08663 (2020) - 2019
- [i9]Nils M. Kriege, Fredrik D. Johansson, Christopher Morris:
A Survey on Graph Kernels. CoRR abs/1903.11835 (2019) - [i8]Christopher Morris, Petra Mutzel:
Towards a practical k-dimensional Weisfeiler-Leman algorithm. CoRR abs/1904.01543 (2019) - [i7]Lutz Oettershagen, Nils M. Kriege, Christopher Morris, Petra Mutzel:
Temporal Graph Kernels for Classifying Dissemination Processes. CoRR abs/1911.05496 (2019) - 2018
- [i6]Rex Ying, Jiaxuan You, Christopher Morris, Xiang Ren, William L. Hamilton, Jure Leskovec:
Hierarchical Graph Representation Learning with Differentiable Pooling. CoRR abs/1806.08804 (2018) - [i5]Christopher Morris, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan, Martin Grohe:
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks. CoRR abs/1810.02244 (2018) - 2017
- [i4]Nils M. Kriege, Marion Neumann, Christopher Morris, Kristian Kersting, Petra Mutzel:
A Unifying View of Explicit and Implicit Feature Maps for Structured Data: Systematic Studies of Graph Kernels. CoRR abs/1703.00676 (2017) - [i3]Christopher Morris, Kristian Kersting, Petra Mutzel:
Global Weisfeiler-Lehman Graph Kernels. CoRR abs/1703.02379 (2017) - 2016
- [i2]Christopher Morris, Nils M. Kriege, Kristian Kersting, Petra Mutzel:
Faster Kernels for Graphs with Continuous Attributes via Hashing. CoRR abs/1610.00064 (2016) - [i1]Fritz Bökler, Matthias Ehrgott, Christopher Morris, Petra Mutzel:
Output-sensitive Complexity of Multiobjective Combinatorial Optimization. CoRR abs/1610.07204 (2016)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-14 02:02 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
