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Papers matching “graph structure learning” 63

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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
On the Parameterized Complexity of Learning First-Order Logic
2021 arXiv (Cornell University) preprint Computer Science Advanced Graph Theory Research Open access

Steffen van Bergerem, Martin Grohe, Martin Ritzert

0

citations
Equivariant quantum circuits for learning on weighted graphs
2022 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Andrea Skolik, Michele Cattelan, Sheir Yarkoni, Thomas Bäck, Vedran Dunjko

3

citations
Graph Neural Networks in Histopathology: Emerging Trends and Future Directions
2024 arXiv (Cornell University) preprint Computer Science AI in cancer detection Open access

Siemen Brussee, Giorgio Buzzanca, Anne M.R. Schrader, Jesper Kers

0

citations
GKAN: Graph Kolmogorov-Arnold Networks
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Mehrdad Kiamari, Mohammad Kiamari, Bhaskar Krishnamachari

25

citations
Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation
2025 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Zhaochun Ren, Shuaiqiang Wang, Lisong Yan, Dawei Yin

0

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

0

citations
Query Languages for Machine-Learning Models
2026 arXiv (Cornell University) preprint Computer Science Logic, Reasoning, and Knowledge Open access

Martin Grohe

0

citations
Probabilistic Graph Rewiring via Virtual Nodes
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Chendi Qian, Andrei Manolache, Mathias Niepert

1

citations
Schedulable Job-Level Dependencies for Cause-Effect Chains via Graph Neural Networks
2026 arXiv (Cornell University) preprint Computer Science Real-Time Systems Scheduling Open access

Silviu S. Craciunas, Christian Hakert, Jian-Jia Chen, Zdeněk Hanzálek, Paul Pop

0

citations
Attending to Graph Transformers
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Mikhail Galkin, Christopher G. Morris, Ladislav Rampášek

30

citations
Convergence of gradient based training for linear Graph Neural Networks
2025 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Dhiraj Patel, Anton Savostianov, Michael T. Schaub

3

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
Evolving Embodied Intelligence: Graph Neural Network--Driven Co-Design of Morphology and Control in Soft Robotics
2026 arXiv (Cornell University) preprint Engineering Soft Robotics and Applications Open access

Jianqiang Wang, Shuaiqun Pan, Álvaro Serra-Gómez, Xiaohan Wei, Yue Hong Xie

2

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
A Biomedical Knowledge Graph for Biomarker Discovery in Cancer
2023 arXiv (Cornell University) preprint Biochemistry, Genetics and Molecular Biology Biomedical Text Mining and Ontologies Open access

Md. Rezaul Karim, Lina Molinas Comet, Oya Beyan, Dietrich Rebholz‐Schuhmann, Stefan Decker

0

citations
Shadows of quantum machine learning
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Sofiène Jerbi, Casper Gyurik, Simon C. Marshall, Riccardo Molteni, Vedran Dunjko

0

citations
ReG-SAM: Reference Graph-Driven SAM for 2D Foundational Vessel Segmentation
2026 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Donghang Lyu, Zichen Zhang, Oleh Dzyubachyk, Marius Staring

0

citations
Multi-Scale Node Embeddings for Graph Modeling and Generation
2024 RePEc: Research Papers in Economics preprint Physics and Astronomy Complex Network Analysis Techniques Open access

Diego Garlaschelli

1

citations
Fairness-Aware Network Embeddings: Methods, Applications, and Challenges
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Ella Has, Harshith Kumar Yadav, Gaurav Dixit, Mykola Pechenizkiy, Akrati Saxena

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
Amortized Molecular Optimization via Group Relative Policy Optimization
2026 arXiv (Cornell University) preprint Pharmacology, Toxicology and Pharmaceutics Computational Drug Discovery Methods Open access

Muhammad bin Javaid, Hasham Hussain, Ashima Khanna, Berke Kisin, Jonathan Pirnay, Alexander Mitsos, +2 more

0

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
Knowledge Graphs and Explainable AI for Drug Repurposing on Rare Diseases
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Computational Drug Discovery Methods Open access

Pablo Perdomo-Quinteiro, Katherine Wolstencroft, Marco Roos, Núria Queralt-Rosiñach

7

citations
Computational Complexity of the Weisfeiler-Leman Dimension
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Theory Research Open access

Moritz Lichter, Simon Raßmann, Pascal Schweitzer

0

citations