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Papers matching “expressiveness” 257

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Evaluating the expressiveness of hardware performance counters tracked alongside the critical path
2026 RWTH Publications (RWTH Aachen) article Computer Science Software System Performance and Reliability Open access

Moritz Brückner

0

citations
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
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
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
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
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
Guarded Teams: The Horizontally Guarded Case
2020 DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) article Computer Science Semantic Web and Ontologies Open access

Erich Grädel, Martin Otto

1

citations
Learning More Expressive General Policies for Classical Planning Domains
2024 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Simon Ståhlberg, Blai Bonet, Héctor Geffner

0

citations
Learning More Expressive General Policies for Classical Planning Domains
2025 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science AI-based Problem Solving and Planning Open access

Simon Ståhlberg, Blai Bonet, Héctor Geffner

0

citations
Logics with Multiteam Semantics
2022 ACM Transactions on Computational Logic article Computer Science Logic, Reasoning, and Knowledge Open access

Erich Grädel, Richard Wilke

8

citations
Stärken und Grenzen des Weisfeiler-Leman-Algorithmus
2020 RWTH Publications (RWTH Aachen) dissertation Computer Science Complexity and Algorithms in Graphs Open access

Sandra Kiefer

7

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
Logics with Multiteam Semantics
2020 arXiv (Cornell University) preprint Computer Science Logic, Reasoning, and Knowledge Open access

0

citations
On Policy Reuse: An Expressive Language for Representing and Executing General Policies that Call Other Policies
2024 Proceedings of the International Conference on Automated Planning and Scheduling conference-paper Computer Science Formal Methods in Verification Open access

Blai Bonet, Dominik Drexler, Héctor Geffner

0

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
Query Languages for Machine-Learning Models
2026 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Martin Grohe

0

citations
Query Languages for Machine-Learning Models (Invited Talk)
2026 DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) article Computer Science Bayesian Modeling and Causal Inference Open access

Martin Grohe

0

citations
Aligning Transformers with Weisfeiler-Leman
2024 arXiv (Cornell University) preprint Computer Science Cellular Automata and Applications 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 conference-paper Computer Science Advanced Graph Neural Networks Open access

Martin Grohe

50

citations
Randomization in Non-Uniform Finite Automata
2020 DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) article Computer Science semigroups and automata theory Open access

Pavol Ďuriš, Rastislav Kráľovič, Richard Královič, Dana Pardubská, Martin Pašen, Peter Rossmanith

1

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

Christopher Morris

0

citations