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Papers matching “message-passing graph neural networks” 20

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Probabilistically Rewired Message-Passing Neural Networks
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Chendi Qian, Andrei Manolache, Zhe Zeng, Guy Van den Broeck, Mathias Niepert

4

citations
Repetition Makes Perfect: Recurrent Graph Neural Networks Match Message Passing Limit
2026 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Advanced Graph Neural Networks Open access

Eran Rosenbluth, Martin Grohe

0

citations
Graph Learning Should Move Beyond Restrictive Views of Spectral and Message-Passing GNNs
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Antonis Vasileiou, Juan Cerviño, Pascal Frossard, Charilaos I. Kanatsoulis, Christopher Morris, Michael P. Schaub, +4 more

0

citations
Which Algorithms Can Graph Neural Networks Learn?
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Solveig Wittig, Antonis Vasileiou, Robert R. Nerem, Timo Stoll, Floris Geerts, Yusu Wang, +1 more

0

citations
Fine-grained Expressivity of Graph Neural Networks
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Jan Böker, Ron Levie, Ningyuan Teresa Huang, Soledad Villar

4

citations
Covered Forest: Fine-grained generalization analysis of graph neural networks
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Ben Finkelshtein, Floris Geerts, Ron Levie

0

citations
Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems
2023 arXiv (Cornell University) preprint Mathematics Advanced Optimization Algorithms Research Open access

Chendi Qian, Didier Chételat, Christopher Morris

2

citations
Probabilistic Graph Rewiring via Virtual Nodes
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Chendi Qian, Andrei Manolache, Mathias Niepert

1

citations
Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Jan Tönshoff, Martin Ritzert, Eran Rosenbluth, Martin Grohe

1

citations
GraphBench: Next-generation graph learning benchmarking
2025 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

1

citations
Ordered Subgraph Aggregation Networks
2022 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Chendi Qian, Gaurav Rattan, Floris Geerts, Mathias Niepert

8

citations
SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks
2022 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Gaurav Rattan, Sandra Kiefer, Siamak Ravanbakhsh

0

citations
Principled Data Augmentation for Learning to Solve Quadratic Programming Problems
2025 neural information processing systems conference-paper Mathematics Advanced Optimization Algorithms Research Open access

Chendi Qian, Christopher Morris

0

citations
When Bonds Resist Rotation: Automated Classification and Representation of Atropisomers in the MolBar Identifier
2026 ChemRxiv preprint Chemistry Axial and Atropisomeric Chirality Synthesis Open access

Nils van Staalduinen, Christoph Bannwarth

0

citations
Weisfeiler-Leman at the margin: When more expressivity matters
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Ameya Velingker, Floris Geerts

0

citations
Distinguished In Uniform: Self Attention Vs. Virtual Nodes
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Eran Rosenbluth, Jan Tönshoff, Martin Ritzert, Berke Kisin, Martin Grohe

0

citations
Learning From Simplicial Data Based on Random Walks and 1D Convolutions
2024 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access

Florian Frantzen, Michael T. Schaub

0

citations
Attending to Graph Transformers
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Mikhail Galkin, Christopher G. Morris, Ladislav Rampášek

30

citations
Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Michael Scholkemper, Xinyi Wu, Ali Jadbabaie, Michael T. Schaub

1

citations
Automated Classification and Representation of sp2–sp2 Atropisomers in the MolBar Identifier
2026 Journal of Chemical Information and Modeling article Chemistry Axial and Atropisomeric Chirality Synthesis Open access

Nils van Staalduinen, Christoph Bannwarth

0

citations

20 results