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Papers matching “random graph models” 21

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First-Order Model-Checking in Random Graphs and Complex Networks
2020 arXiv (Cornell University) preprint Computer Science Advanced Graph Theory Research Open access

Jan Dreier, Philipp Kuinke, Peter Rossmanith

1

citations
Cometh: A continuous-time discrete-state graph diffusion model
2024 arXiv (Cornell University) preprint Computer Science Computational Drug Discovery Methods Open access

Antoine Siraudin, Fragkiskos D. Malliaros

0

citations
First-Order Model-Checking in Random Graphs and Complex Networks
2020 DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) article Computer Science Advanced Graph Theory Research Open access

Jan Dreier, Philipp Kuinke, Peter Rossmanith

1

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
The genuinely multipartite nonlocality of graph states is model-dependent
2025 npj Quantum Information article Computer Science Quantum Information and Cryptography Open access

Xavier Coiteux-Roy, Owidiusz Makuta, Fionnuala Curran, Remigiusz Augusiak, Marc-Olivier Renou

1

citations
One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction
2023 International Joint Conference on Artificial Intelligence conference-paper Computer Science Constraint Satisfaction and Optimization Open access

Jan Tönshoff, Berke Kisin, Jakob Lindner, Martin Grohe

15

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
Abstract 5695: Deep learning risk prediction model of distant recurrence from H&E endometrial cancer slides
2023 Cancer Research conference-abstract Computer Science AI in cancer detection

Sarah Volinsky-Fremond, Sonali Andani, Jurriaan Barkey Wolf, Gitte Ørtoft, Estrid Vilma Solyom Høgdall, Jouke Dijkstra, +17 more

0

citations
Random Abstract Cell Complexes
2024 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access

Josef Hoppe, Michael T. Schaub

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
Quantum Graph-State Synthesis with SAT
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Sebastiaan Brand, Tim Coopmans, Alfons Laarman

0

citations
Nonstabilizerness estimation using graph neural networks
2026 Machine Learning Science and Technology article Computer Science Quantum Computing Algorithms and Architecture Open access

Vincenzo Lipardi, Domenica Dibenedetto, Evert van Nieuwenburg, Mark H. M. Winands

0

citations
Tree Coloring: Random Order and Predictions
2024 arXiv (Cornell University) preprint Computer Science Optimization and Search Problems Open access

Fabian Frei, Matthias Gehnen, Dennis Komm, Rastislav Kráľovič, Richard Královič, Peter Rossmanith, +1 more

1

citations
Maximum Shallow Clique Minors in Preferential Attachment Graphs Have Polylogarithmic Size
2020 DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) article Computer Science Advanced Graph Theory Research Open access

Jan Dreier, Philipp Kuinke, Peter Rossmanith

1

citations
Approximation Algorithms for Discounted Graph Search with Norm Objectives
2026 arXiv (Cornell University) preprint Computer Science Complexity and Algorithms in Graphs Open access

Svenja M. Griesbach, Felix Hommelsheim, Max Klimm

0

citations
Approximation Algorithms for Discounted Graph Search with Norm Objectives
2026 arXiv (Cornell University) preprint Computer Science Complexity and Algorithms in Graphs Open access

Svenja M. Griesbach, Felix Hommelsheim, Max Klimm

0

citations
Revisiting Incremental Skip-gram for Dynamic Network Embedding
2026 conference-paper Computer Science Advanced Graph Neural Networks Open access

Akrati Saxena, Ella Has

0

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
Structural Node Embeddings with Homomorphism Counts
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Hinrikus Wolf, Luca Oeljeklaus, Pascal Kühner, Martin Grohe

1

citations
Tree coloring with predictions
2025 Discrete Applied Mathematics article Computer Science Optimization and Search Problems Open access

Fabian Frei, Matthias Gehnen, Dennis Komm, Rastislav Kráľovič, Richard Královič, Peter Rossmanith, +1 more

0

citations
Modelling Concept Drift in Dynamic Data Streams for Recommender Systems
2024 ACM Transactions on Recommender Systems article Computer Science Recommender Systems and Techniques Open access

Luciano Caroprese, Francesco Sergio Pisani, Bruno Veloso, Giuseppe Manco, Holger H. Hoos, João Manuel Portela da Gama

7

citations

21 results