From

Institution

Field

Type

Open access only Cited by patents (Lens) Include non-Aachen papers (citing/cited)

Reset

Papers matching “optimal network structure” 17

Sort: Relevance Cited Newest Oldest Fwci Patents ⇩ CSV

Not finding it? Sign in to also search OpenAlex live.

Learning General Policies with Policy Gradient Methods
2025 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Simon Ståhlberg, Blai Bonet, Héctor Geffner

0

citations
Learning General Policies with Policy Gradient Methods
2025 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Simon Ståhlberg, Blai Bonet, Héctor Geffner

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
Graph Distortion Distances, Gromov-Hausdorff and the Hardness of Gromov-Wasserstein
2026 arXiv (Cornell University) preprint Computer Science Complexity and Algorithms in Graphs Open access

Jens Breitung, Timo Gervens, Julius Pörzgen

0

citations
Branch-and-price strikes back for the k-vertex cut problem
2026 arXiv (Cornell University) preprint Computer Science Complexity and Algorithms in Graphs Open access

Fabio Ciccarelli, Fabio Furini, Christopher Hojny, Marco E. Lübbecke

0

citations
IQLS: Framework for leveraging Metadata to enable Large Language Model based queries to complex, versatile Data
2024 arXiv (Cornell University) preprint Computer Science Semantic Web and Ontologies Open access

Sami Azirar, Hossam A. Gabbar, Chaouki Regoui

0

citations
Graph Exploration with Edge Weight Estimates
2025 arXiv (Cornell University) preprint Computer Science Optimization and Search Problems Open access

Matthias Gehnen, Ralf Klasing, Émile Naquin

0

citations
Unfolding recurrence by Green's functions for optimized reservoir computing
2020 arXiv (Cornell University) preprint Computer Science Neural Networks and Reservoir Computing Open access

Sandra Nestler, Christian Keup, David Dahmen, Matthieu Gilson, Holger Rauhut, Moritz Helias

0

citations
Expediting hit-to-lead progression in drug discovery through reaction prediction and multi-objective molecular optimization
2025 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

David F. Nippa, Kenneth Atz, Yannick Stenzhorn, Alex T. Müller, Andreas Tosstorff, Jörg Benz, +17 more

1

citations
Expediting hit-to-lead progression in drug discovery through reaction prediction and multi-objective molecular optimization
2025 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

David F. Nippa, Kenneth Atz, Yannick Stenzhorn, Alex T. Müller, Andreas Tosstorff, Jörg Benz, +17 more

1

citations
Bayesian Optimization via Continual Variational Last Layer Training
2024 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Paul Brunzema, Mikkel Jordahn, John Willes, Sebastian Trimpe, Jasper Snoek

0

citations
RAwR: Role-Aware Rewiring via Approximate Equitable Partition
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Riccardo Porcedda, Giuseppe Squillace, Bastian Epping, Andrea Vandin, Michael T. Schaub, Mirco Tribastone, +1 more

0

citations
Improving Unsupervised Stain-To-Stain Translation using Self-Supervision and Meta-Learning
2021 arXiv (Cornell University) preprint Computer Science AI in cancer detection Open access

Nassim Bouteldja, Barbara M. Klinkhammer, Tarek Schlaich, Peter Boor, Dorit Merhof

2

citations
Comparing Spectral Bias and Robustness For Two-Layer Neural Networks: SGD vs Adaptive Random Fourier Features
2024 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Aku Kammonen, Raul F. Tempone

0

citations
Quadratic Sums-of-Powers for Fixed-Parameter Tractable Quantum-Circuit Simulation
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Alexis de Colnet, Floris Geerts, Rihan Hai, Alfons Laarman, Joon Hyung Lee, Guillermo A. Pérez

0

citations
One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction
2022 arXiv (Cornell University) preprint Computer Science Constraint Satisfaction and Optimization Open access

Jan Tönshoff, Berke Kisin, Jakob Lindner, Martin Grohe

1

citations
Ellipsoidal embeddings of graphs
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Michaël Fanuel, Antoine Aspeel, Michael T. Schaub, Jean‐Charles Delvenne

0

citations

17 results