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Papers matching “expressivity” 412

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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
On the uniform expressivity of graph neural networks
2025 RWTH Publications (RWTH Aachen) dissertation Computer Science Advanced Graph Neural Networks Open access

Eran Rosenbluth

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
On the expressivity of embedding quantum kernels
2024 Machine Learning Science and Technology article Computer Science Quantum Computing Algorithms and Architecture Open access

Elies Gil-Fuster, Jens Eisert, Vedran Dunjko

18

citations
On the expressivity of embedding quantum kernels
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Elies Gil-Fuster, Jens Eisert, Vedran Dunjko

0

citations
Serverless Architecture for Data Processing and Detecting Anomalies with the Mars Express MARSIS Instrument
2023 The Astronomical Journal article Computer Science Cloud Computing and Resource Management Open access

David Pacios, José Luis Vázquez‐Poletti, Beatriz Sánchez‐Cano, Rafael Moreno‐Vozmediano, Nikolaos A. Schetakis, Luis Vázquez, +1 more

8

citations
Expressivity of parameterized and data-driven representations in quality diversity search
2021 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Evolutionary Algorithms and Applications Open access

Alexander Hagg, Sebastian Berns, Alexander Asteroth, Simon Colton, Thomas Bäck

13

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
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
A Hyperlogic for Strategies in Stochastic Games (Extended Version)
2025 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

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
Gradients and frequency profiles of quantum re-uploading models
2024 Quantum article Computer Science Quantum Computing Algorithms and Architecture Open access

Alice Barthe, Adrián Pérez-Salinas

8

citations
Algebras for Deterministic Computation Are Inherently Incomplete
2025 Proceedings of the ACM on Programming Languages article Computer Science Logic, programming, and type systems Open access

Balder ten Cate, Tobias Kappé

4

citations
Comparing Two Approaches to Include Stochasticity in Hybrid Automata
2023 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Anne Remke, Erika Ábrahám

1

citations
Sketch Decompositions for Classical Planning via Deep Reinforcement Learning
2025 International Joint Conference on Artificial Intelligence conference-paper Computer Science AI-based Problem Solving and Planning Open access

Michael Aichmüller, Héctor Geffner

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
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
Quantum Deep Learning: A Comprehensive Review
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Yanjun Ji, Zhao-Yun Chen, Marco Roth, David A. Kreplin, Christian Schiffer, Martin King, +7 more

0

citations
Quantum Deep Learning: A Comprehensive Review
2026 JuSER (Forschungszentrum Jülich) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Yanjun Ji, Zhao-Yun Chen, Marco Roth, David A. Kreplin, Christian Schiffer, Martin King, +7 more

0

citations
Generalized Reduction to the Isotropy for Flexible Equivariant Neural Fields
2026 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access

Alejandro García-Castellanos, Gijs Bellaard, Remco Duits, Daniël M. Pelt, Erik J. Bekkers

0

citations
Multiple-basis representation of quantum states
2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Adrián Pérez-Salinas, Patrick Emonts, Jordi Tura, Vedran Dunjko

0

citations
Are Targeted Messages More Effective?
2024 Proceedings - Symposium on Logic in Computer Science conference-paper Computer Science Advanced Graph Neural Networks

Martin Grohe, Eran Rosenbluth

0

citations
Ambiguity, Weakness, and Regularity in Probabilistic Büchi Automata
2020 Lecture notes in computer science conference-paper Computer Science semigroups and automata theory Open access

0

citations
Universality of Classically Trainable, Quantum-Deployed Boson-Sampling Generative Models
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Andrii Kurkin, Ulysse Chabaud, Zoltán Kolarovszki, Bence Bakó, Zoltán Zimborás, Vedran Dunjko

0

citations