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Andreas Roth
Andreas Roth
Researcher, TU Dortmund
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Citado por
Citado por
Año
Transforming PageRank into an Infinite-Depth Graph Neural Network
A Roth, T Liebig
ECML PKDD 2022, 2022
92022
Forecasting Unobserved Node States with spatio-temporal Graph Neural Networks
A Roth, T Liebig
International Conference on Data Mining Workshops (ICDMW), 2022
8*2022
A Data-Centric Augmentation Approach for Disturbed Sensor Image Segmentation
A Roth, K Wüstefeld, F Weichert
Journal of Imaging 7 (10), 206, 2021
72021
Curvature-based Pooling within Graph Neural Networks
C Sanders, A Roth, T Liebig
Mining and Learning with Graphs @ ECML PKDD 2023, 2023
22023
Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks
A Roth, T Liebig
LoG 2023, 2023
12023
Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks
A Roth, T Liebig
ACML 2023, 2023
2023
Graph Pooling Provably Improves Expressivity
V Lachi, A Moallemy-Oureh, A Roth, P Welke
New Frontiers in Graph Learning @ NeurIPS 2023, 2023
2023
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Artículos 1–7