Morris, Christopher

35 publications

TMLR 2025 Cometh: A Continuous-Time Discrete-State Graph Diffusion Model Antoine Siraudin, Fragkiskos D. Malliaros, Christopher Morris

ICML 2025 Covered Forest: Fine-Grained Generalization Analysis of Graph Neural Networks Antonis Vasileiou, Ben Finkelshtein, Floris Geerts, Ron Levie, Christopher Morris

NeurIPS 2025 Generalizable Insights for Graph Transformers in Theory and Practice Timo Stoll, Luis Müller, Christopher Morris

ICML 2025 Position: Graph Learning Will Lose Relevance Due to Poor Benchmarks Maya Bechler-Speicher, Ben Finkelshtein, Fabrizio Frasca, Luis Müller, Jan Tönshoff, Antoine Siraudin, Viktor Zaverkin, Michael M. Bronstein, Mathias Niepert, Bryan Perozzi, Mikhail Galkin, Christopher Morris

NeurIPS 2025 Principled Data Augmentation for Learning to Solve Quadratic Programming Problems Chendi Qian, Christopher Morris

ICML 2024 Aligning Transformers with Weisfeiler-Leman Luis Müller, Christopher Morris

TMLR 2024 Attending to Graph Transformers Luis Müller, Mikhail Galkin, Christopher Morris, Ladislav Rampášek

AISTATS 2024 Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems Chendi Qian, Didier Chételat, Christopher Morris

ICML 2024 Position: Future Directions in the Theory of Graph Machine Learning Christopher Morris, Fabrizio Frasca, Nadav Dym, Haggai Maron, Ismail Ilkan Ceylan, Ron Levie, Derek Lim, Michael M. Bronstein, Martin Grohe, Stefanie Jegelka

NeurIPS 2024 Probabilistic Graph Rewiring via Virtual Nodes Chendi Qian, Andrei Manolache, Christopher Morris, Mathias Niepert

ICLR 2024 Probabilistically Rewired Message-Passing Neural Networks Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Van den Broeck, Mathias Niepert, Christopher Morris

ICLR 2024 Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets 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, Michał 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

NeurIPS 2024 Towards Principled Graph Transformers Luis Müller, Daniel Kusuma, Blai Bonet, Christopher Morris

NeurIPSW 2024 Towards Principled Graph Transformers Luis Müller, Daniel Kusuma, Blai Bonet, Christopher Morris

IJCAI 2024 Towards a Theory of Machine Learning on Graphs and Its Applications in Combinatorial Optimization Christopher Morris

ICML 2024 Weisfeiler-Leman at the Margin: When More Expressivity Matters Billy Joe Franks, Christopher Morris, Ameya Velingker, Floris Geerts

JMLR 2023 Combinatorial Optimization and Reasoning with Graph Neural Networks Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Veličković

NeurIPS 2023 Fine-Grained Expressivity of Graph Neural Networks Jan Böker, Ron Levie, Ningyuan Huang, Soledad Villar, Christopher Morris

ICMLW 2023 Probabilistic Task-Adaptive Graph Rewiring Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Van den Broeck, Mathias Niepert, Christopher Morris

ICML 2023 WL Meet VC Christopher Morris, Floris Geerts, Jan Tönshoff, Martin Grohe

JMLR 2023 Weisfeiler and Leman Go Machine Learning: The Story so Far Christopher Morris, Yaron Lipman, Haggai Maron, Bastian Rieck, Nils M. Kriege, Martin Grohe, Matthias Fey, Karsten Borgwardt

AAAI 2022 MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers Elias B. Khalil, Christopher Morris, Andrea Lodi

NeurIPS 2022 Ordered Subgraph Aggregation Networks Chendi Qian, Gaurav Rattan, Floris Geerts, Mathias Niepert, Christopher Morris

ICML 2022 SpeqNets: Sparsity-Aware Permutation-Equivariant Graph Networks Christopher Morris, Gaurav Rattan, Sandra Kiefer, Siamak Ravanbakhsh

ICLRW 2022 SpeqNets: Sparsity-Aware Permutation-Equivariant Graph Networks Christopher Morris, Gaurav Rattan, Sandra Kiefer, Siamak Ravanbakhsh

LoG 2022 Weisfeiler and Leman Go Relational Pablo Barcelo, Mikhail Galkin, Christopher Morris, Miguel Romero Orth

IJCAI 2021 Combinatorial Optimization and Reasoning with Graph Neural Networks Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic

NeurIPS 2021 Reconstruction for Powerful Graph Representations Leonardo Cotta, Christopher Morris, Bruno Ribeiro

IJCAI 2021 The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs Christopher Morris, Matthias Fey, Nils M. Kriege

ICLR 2020 Deep Graph Matching Consensus Matthias Fey, Jan E. Lenssen, Christopher Morris, Jonathan Masci, Nils M. Kriege

NeurIPS 2020 Weisfeiler and Leman Go Sparse: Towards Scalable Higher-Order Graph Embeddings Christopher Morris, Gaurav Rattan, Petra Mutzel

AAAI 2019 Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks Christopher Morris, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan, Martin Grohe

IJCAI 2018 A Property Testing Framework for the Theoretical Expressivity of Graph Kernels Nils M. Kriege, Christopher Morris, Anja Rey, Christian Sohler

NeurIPS 2018 Hierarchical Graph Representation Learning with Differentiable Pooling Zhitao Ying, Jiaxuan You, Christopher Morris, Xiang Ren, Will Hamilton, Jure Leskovec

ECML-PKDD 2017 Recent Advances in Kernel-Based Graph Classification Nils M. Kriege, Christopher Morris