Roth, Andreas

7 publications

TMLR 2025 Expressive Pooling for Graph Neural Networks Veronica Lachi, Alice Moallemy-Oureh, Andreas Roth, Pascal Welke

LoG 2025 Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph Andreas Roth, Franka Bause, Nils Morten Kriege, Thomas Liebig

IJCAI 2025 What Can We Learn from MIMO Graph Convolutions? Andreas Roth, Thomas Liebig

ACML 2023 Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks Andreas Roth, Thomas Liebig

NeurIPSW 2023 Graph Pooling Provably Improves Expressivity Veronica Lachi, Alice Moallemy-Oureh, Andreas Roth, Pascal Welke

LoG 2023 Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks Andreas Roth, Thomas Liebig

ECML-PKDD 2022 Transforming PageRank into an Infinite-Depth Graph Neural Network Andreas Roth, Thomas Liebig