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Papers matching “graph processing” 96

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Table-Based Knowledge Integration for Graph-Assisted Enhancement of Process Understanding in Three Different Metal Forming Processes
2026 Frontiers in artificial intelligence and applications book-chapter Computer Science Semantic Web and Ontologies Open access

Josua Höfgen, Arnold Harms, Alexander Frigge, Philipp Niemietz, Michael Weyrich, Marion Merklein, +1 more

0

citations
Signal processing on higher-order networks: Livin’ on the edge... and beyond
2021 Signal Processing article Computer Science Advanced Graph Neural Networks Open access

Michael T. Schaub, Yu Zhu, Jean-Baptiste Seby, T. Mitchell Roddenberry, Santiago Segarra

149

citations
Signal processing on simplicial complexes
2021 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access

Michael T. Schaub, Jean-Baptiste Seby, Florian Frantzen, T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra

3

citations
Signal Processing On Cell Complexes
2022 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Topological and Geometric Data Analysis Open access

T. Mitchell Roddenberry, Michael T. Schaub, Mustafa Hajij

30

citations
Higher-order signal processing with the Dirac operator
2022 2018 52nd Asilomar Conference on Signals, Systems, and Computers conference-paper Computer Science Topological and Geometric Data Analysis Open access

Lucille Calmon, Michael T. Schaub, Ginestra Bianconi

8

citations
Blind Extraction of Equitable Partitions from Graph Signals
2022 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Advanced Graph Neural Networks Open access

Michael Scholkemper, Michael Schaub

2

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
A Bayesian Perspective on Uncertainty Quantification for Estimated Graph Signals
2025 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Advanced Graph Neural Networks Open access

Lennard Rompelberg, Michael T. Schaub

2

citations
Generalizable Insights for Graph Transformers in Theory and Practice
2025 neural information processing systems conference-paper Computer Science Advanced Graph Neural Networks Open access

Timo Stoll

0

citations
Extending Graph Query Languages by Reduction
2024 Technische Universität Berlin – Universitätsbibliothek article Computer Science Model-Driven Software Engineering Techniques Open access

Erhard Weinell

2

citations
Graph Learning with 1D Convolutions on Random Walks.
2021 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Jan Toenshoff, Martin Ritzert, Hinrikus Wolf, Martin Grohe

5

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
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
Graph Neural Networks Do Not Always Oversmooth
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Bastian Epping, Alexandre René, Moritz Helias, Michael T. Schaub

3

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
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
Graph neural networks for the prediction of molecular structure-property relationships
2022 arXiv (Cornell University) preprint Computer Science Computational Drug Discovery Methods Open access

Jan G. Rittig, Qinghe Gao, Manuel Dahmen, Alexander Mitsos, Artur M. Schweidtmann

2

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
Advancing Federated Learning in 6G: A Trusted Architecture with Graph-based Analysis
2023 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Wenxuan Ye, Chendi Qian, Xueli An, Xueqiang Yan, Georg Carle

0

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
Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks
2025 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Xiaoyan Jiang, Bohan Wang, Hamido Fujita

0

citations
Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring: A Bosch Case
2023 RWTH Publications (RWTH Aachen) conference-paper Computer Science Advanced Graph Neural Networks Open access

Zhipeng Tan, Baifan Zhou, Zhuoxun Zheng, Ognjen Savković, Ziqi Huang, Irlán Grangel González, +2 more

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
Multi-fidelity graph neural networks for predicting toluene/water partition coefficients
2024 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Thomas Nevolianis, Jan G. Rittig, Alexander Mitsos, Kai O. Leonhard

5

citations
Multi-fidelity graph neural networks for predicting toluene/water partition coefficients
2025 Journal of Cheminformatics article Computer Science Computational Drug Discovery Methods Open access

Thomas Nevolianis, Jan G. Rittig, Alexander Mitsos, Kai O. Leonhard

3

citations