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Papers matching “graph processing” 112

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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
Signal Processing on Simplicial Complexes
2022 Understanding complex systems book-chapter Computer Science Topological and Geometric Data Analysis

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

21

citations
A Wasserstein Graph Distance Based on Distributions of Probabilistic Node Embeddings
2024 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Advanced Graph Neural Networks

Michael Scholkemper, Damin Kühn, Gerion Nabbefeld, Simon Musall, Björn M. Kampa, Michael T. Schaub

2

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
Graph-Based 3d Human Pose Estimation Using Wifi Signals
2026 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Human Pose and Action Recognition

Jichao Chen, Yangyang Qu, Ruibo Tang, Dirk T. M. Slock

1

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
Graph Neural Networks for the Prediction of Molecular Structure–Property Relationships
2023 Royal Society of Chemistry eBooks book-chapter Computer Science Computational Drug Discovery Methods

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

29

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 Globecom conference-paper Computer Science Privacy-Preserving Technologies in Data

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

11

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