Andreas Roth

2022202320245 12 33

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Thomas LiebigTU DortmundVerified email at tu-dortmund.de
Frank WeichertDepartment of Computer Science, TU Dortmund University, Dortmund, GermanyVerified email at tu-dortmund.de
Franka BauseUniversity of ViennaVerified email at univie.ac.at
Nils M. KriegeUniversity of ViennaVerified email at univie.ac.at
Alice Moallemy-OurehUniversity of KasselVerified email at uni-kassel.de
Pascal WelkeTU WienVerified email at tuwien.ac.at
Veronica LachiFondazione Bruno KesslerVerified email at fbk.eu

Andreas Roth

Researcher, TU Dortmund

Verified email at tu-dortmund.de


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Transforming PageRank into an Infinite-Depth Graph Neural Network A Roth, T Liebig ECML PKDD 2022, 2022	16	2022
Forecasting Unobserved Node States with spatio-temporal Graph Neural Networks A Roth, T Liebig International Conference on Data Mining Workshops (ICDMW), 2022	11*	2022
Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks A Roth, T Liebig LoG 2023, 2023	9	2023
A data-centric augmentation approach for disturbed sensor image segmentation A Roth, K Wüstefeld, F Weichert Journal of Imaging 7 (10), 206, 2021	7	2021
Curvature-based Pooling within Graph Neural Networks C Sanders, A Roth, T Liebig Mining and Learning with Graphs @ ECML PKDD 2023, 2023	6	2023
Preventing representational rank collapse in mpnns by splitting the computational graph A Roth, F Bause, NM Kriege, T Liebig LoG 2024, 2024	1	2024
Simplifying the Theory on Over-Smoothing A Roth LWDA 2024, 2024	1	2024
Graph Pooling Provably Improves Expressivity V Lachi, A Moallemy-Oureh, A Roth, P Welke New Frontiers in Graph Learning @ NeurIPS 2023, 2023	1	2023
Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks A Roth, T Liebig ACML 2023, 2023		2023

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