Christopher Morris

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 59

Top Topics

Machine Learning

Combinatorial Optimization

Top Venues

Publications

Luis Müller, Mikhail Galkin, Christopher Morris, Ladislav Rampásek
Attending to Graph Transformers. Trans. Mach. Learn. Res. 2024 (2024)
Antoine Siraudin, Fragkiskos D. Malliaros, Christopher Morris
Cometh: A continuous-time discrete-state graph diffusion model. CoRR (2024)
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)
Luis Müller, Christopher Morris
Aligning Transformers with Weisfeiler-Leman. CoRR (2024)
Chendi Qian, Didier Chételat, Christopher Morris
Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems. AISTATS (2024)
Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Van den Broeck, Mathias Niepert, Christopher Morris
Probabilistically Rewired Message-Passing Neural Networks. ICLR (2024)
Billy J. Franks, Christopher Morris, Ameya Velingker, Floris Geerts
Weisfeiler-Leman at the margin: When more expressivity matters. CoRR (2024)
Luis Müller, Christopher Morris
Towards Principled Graph Transformers. CoRR (2024)
Chendi Qian, Andrei Manolache, Christopher Morris, Mathias Niepert
Probabilistic Graph Rewiring via Virtual Nodes. CoRR (2024)
Christopher Morris, Nadav Dym, Haggai Maron, Ismail Ilkan Ceylan, Fabrizio Frasca, Ron Levie, Derek Lim, Michael Bronstein, Martin Grohe, Stefanie Jegelka
Future Directions in Foundations of Graph Machine Learning. CoRR (2024)
Christopher Morris, Floris Geerts, Jan Tönshoff, Martin Grohe
WL meet VC. CoRR (2023)
Luis Müller, Mikhail Galkin, Christopher Morris, Ladislav Rampásek
Attending to Graph Transformers. CoRR (2023)
Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Van den Broeck, Mathias Niepert, Christopher Morris
Probabilistically Rewired Message-Passing Neural Networks. CoRR (2023)
Chendi Qian, Didier Chételat, Christopher Morris
Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems. CoRR (2023)
Jan Böker, Ron Levie, Ningyuan Huang, Soledad Villar, Christopher Morris
Fine-grained Expressivity of Graph Neural Networks. NeurIPS (2023)
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 (2023)
Christopher Morris, Floris Geerts, Jan Tönshoff, Martin Grohe
WL meet VC. ICML (2023)
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 (2023)
Elias B. Khalil, Christopher Morris, Andrea Lodi
MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers. CoRR (2022)
Pablo Barceló, Mikhail Galkin, Christopher Morris, Miguel A. Romero Orth
Weisfeiler and Leman Go Relational. CoRR (2022)
Christopher Morris, Gaurav Rattan, Sandra Kiefer, Siamak Ravanbakhsh
SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks. CoRR (2022)
Pablo Barceló, Mikhail Galkin, Christopher Morris, Miguel A. Romero Orth
Weisfeiler and Leman Go Relational. LoG (2022)
Martin Grohe, Stephan Günnemann, Stefanie Jegelka, Christopher Morris
Graph Embeddings: Theory meets Practice (Dagstuhl Seminar 22132). Dagstuhl Reports 12 (3) (2022)
Elias B. Khalil, Christopher Morris, Andrea Lodi
MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers. AAAI (2022)
Chendi Qian, Gaurav Rattan, Floris Geerts, Christopher Morris, Mathias Niepert
Ordered Subgraph Aggregation Networks. CoRR (2022)
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 Yangm, 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, Chen Binbin, He Minggui, Hao Hao, Zhang Zhiyu, An Zhiwu, Mao Kun
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. CoRR (2022)
Chendi Qian, Gaurav Rattan, Floris Geerts, Mathias Niepert, Christopher Morris
Ordered Subgraph Aggregation Networks. NeurIPS (2022)
Christopher Morris, Gaurav Rattan, Sandra Kiefer, Siamak Ravanbakhsh
SpeqNets: Sparsity-aware permutation-equivariant graph networks. ICML (2022)
Leonardo Cotta, Christopher Morris, Bruno Ribeiro
Reconstruction for Powerful Graph Representations. CoRR (2021)
Leonardo Cotta, Christopher Morris, Bruno Ribeiro
Reconstruction for Powerful Graph Representations. NeurIPS (2021)
Christopher Morris, Matthias Fey, Nils M. Kriege
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs. CoRR (2021)
Christopher Morris, Matthias Fey, Nils M. Kriege
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs. IJCAI (2021)
Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic
Combinatorial Optimization and Reasoning with Graph Neural Networks. IJCAI (2021)
Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic
Combinatorial optimization and reasoning with graph neural networks. CoRR (2021)
Maxime Gasse, Simon Bowly, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia Chmiela, Justin Dumouchelle, Ambros M. Gleixner, Aleksandr M. Kazachkov, Elias 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)
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 (2021)
Matthias Fey, Jan Eric Lenssen, Christopher Morris, Jonathan Masci, Nils M. Kriege
Deep Graph Matching Consensus. CoRR (2020)
Lutz Oettershagen, Nils M. Kriege, Christopher Morris, Petra Mutzel
Classifying Dissemination Processes in Temporal Graphs. Big Data 8 (5) (2020)
Matthias Fey, Jan Eric Lenssen, Christopher Morris, Jonathan Masci, Nils M. Kriege
Deep Graph Matching Consensus. ICLR (2020)
Christopher Morris, Nils M. Kriege, Franka Bause, Kristian Kersting, Petra Mutzel, Marion Neumann
TUDataset: A collection of benchmark datasets for learning with graphs. CoRR (2020)
Christopher Morris, Gaurav Rattan, Petra Mutzel
Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings. NeurIPS (2020)
Nils M. Kriege, Fredrik D. Johansson, Christopher Morris
A survey on graph kernels. Appl. Netw. Sci. 5 (1) (2020)
Lutz Oettershagen, Nils M. Kriege, Christopher Morris, Petra Mutzel
Temporal Graph Kernels for Classifying Dissemination Processes. SDM (2020)
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)
Christopher Morris, Petra Mutzel
Towards a practical k-dimensional Weisfeiler-Leman algorithm. CoRR (2019)
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) (2019)
Lutz Oettershagen, Nils M. Kriege, Christopher Morris, Petra Mutzel
Temporal Graph Kernels for Classifying Dissemination Processes. CoRR (2019)
Nils M. Kriege, Fredrik D. Johansson, Christopher Morris
A Survey on Graph Kernels. CoRR (2019)
Rex Ying, Jiaxuan You, Christopher Morris, Xiang Ren, William L. Hamilton, Jure Leskovec
Hierarchical Graph Representation Learning with Differentiable Pooling. CoRR (2018)
Nils M. Kriege, Christopher Morris, Anja Rey, Christian Sohler
A Property Testing Framework for the Theoretical Expressivity of Graph Kernels. IJCAI (2018)
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 (2018)
Zhitao Ying, Jiaxuan You, Christopher Morris, Xiang Ren, William L. Hamilton, Jure Leskovec
Hierarchical Graph Representation Learning with Differentiable Pooling. NeurIPS (2018)
Christopher Morris, Kristian Kersting, Petra Mutzel
Glocalized Weisfeiler-Lehman Graph Kernels: Global-Local Feature Maps of Graphs. ICDM (2017)
Christopher Morris, Kristian Kersting, Petra Mutzel
Global Weisfeiler-Lehman Graph Kernels. CoRR (2017)
Nils M. Kriege, Christopher Morris
Recent Advances in Kernel-Based Graph Classification. ECML/PKDD (3) (2017)
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 (2017)
Christopher Morris, Nils M. Kriege, Kristian Kersting, Petra Mutzel
Faster Kernels for Graphs with Continuous Attributes via Hashing. ICDM (2016)
Fritz Bökler, Matthias Ehrgott, Christopher Morris, Petra Mutzel
Output-sensitive Complexity of Multiobjective Combinatorial Optimization. CoRR (2016)
Christopher Morris, Nils M. Kriege, Kristian Kersting, Petra Mutzel
Faster Kernels for Graphs with Continuous Attributes via Hashing. CoRR (2016)