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Papers matching “expressiveness” in Advanced Graph Neural Networks 33

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A Practical, Progressively-Expressive GNN
2022 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Lingxiao Zhao, Louis Härtel, Neil Shah, Leman Akoglu

3

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
Weisfeiler and Leman Go Relational
2022 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Pablo Barceló, Miguel Romero Orth

1

citations
Towards Principled Graph Transformers
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

0

citations
Some Might Say All You Need Is Sum
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Eran Rosenbluth, Jan Toenshoff, Martin Grohe

0

citations
How Expressive Are Graph Neural Networks in the Presence of Node Identifiers?
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

A. Soeteman, Michael Benedikt, Martin Grohe, Balder ten Cate

0

citations
The Surprising Power of Graph Neural Networks with Random Node Initialization
2021 conference-paper Computer Science Advanced Graph Neural Networks Open access cited by 1 patent

Ralph Abboud, İsmail İlkan Ceylan, Martin Grohe, Thomas Lukasiewicz

14

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
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
WL meet VC
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Floris Geerts, Jan Tönshoff, Martin Grohe

0

citations
Future Directions in the Theory of Graph Machine Learning
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Fabrizio Frasca, Nadav Dym, Haggai Maron, İsmail İlkan Ceylan, Ron Levie, Derek Lim, +3 more

0

citations
Aligning Transformers with Weisfeiler-Leman
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

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
The Logic of Graph Neural Networks
2021 Proceedings - Symposium on Logic in Computer Science conference-paper Computer Science Advanced Graph Neural Networks Open access

Martin Grohe

50

citations
Towards a Theory of Machine Learning on Graphs and its Applications in Combinatorial Optimization
2024 conference-paper Computer Science Advanced Graph Neural Networks Open access

Christopher Morris

0

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
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
Are Targeted Messages More Effective?
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Martin Grohe, Eran Rosenbluth

1

citations
Some Might Say All You Need Is Sum
2023 International Joint Conference on Artificial Intelligence conference-paper Computer Science Advanced Graph Neural Networks Open access

Eran Rosenbluth, Jan Tönshoff, Martin Grohe

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
HopfE
2021 Proceedings of the ... ACM International Conference on Information & Knowledge Management conference-paper Computer Science Advanced Graph Neural Networks

Anson Bastos, Kuldeep Singh, Abhishek Nadgeri, Saeedeh Shekarpour, Isaiah Onando Mulang, Johannes Hoffart

13

citations
A Bayesian Perspective on Uncertainty Quantification for Estimated Graph Signals
2025 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Advanced Graph Neural Networks Open access

Lennard Rompelberg, Michael T. Schaub

2

citations
HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations
2021 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Anson Bastos, Kuldeep Singh, Abhishek Nadgeri, Saeedeh Shekarpour, Isaiah Onando Mulang, Johannes Hoffart

1

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
Generalizable Insights for Graph Transformers in Theory and Practice
2025 neural information processing systems conference-paper Computer Science Advanced Graph Neural Networks Open access

Timo Stoll

0

citations