Transforming PageRank into an Infinite-Depth Graph Neural Network A Roth, T Liebig ECML PKDD 2022, 2022 | 9 | 2022 |
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 | 7 | 2021 |
Curvature-based Pooling within Graph Neural Networks C Sanders, A Roth, T Liebig Mining and Learning with Graphs @ ECML PKDD 2023, 2023 | 2 | 2023 |
Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks A Roth, T Liebig LoG 2023, 2023 | 1 | 2023 |
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 |