Liebig, Thomas

10 publications

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

ECML-PKDD 2024 MetaQuRe: Meta-Learning from Model Quality and Resource Consumption Raphael Fischer, Marcel Wever, Sebastian Buschjäger, Thomas Liebig

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

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

PGM 2020 Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures Xiaoting Shao, Alejandro Molina, Antonio Vergari, Karl Stelzner, Robert Peharz, Thomas Liebig, Kristian Kersting

ECML-PKDD 2016 INSIGHT: Dynamic Traffic Management Using Heterogeneous Urban Data Nikolaos Panagiotou, Nikolas Zygouras, Ioannis Katakis, Dimitrios Gunopulos, Nikos Zacheilas, Ioannis Boutsis, Vana Kalogeraki, Stephen Lynch, Brendan O'Brien, Dermot Kinane, Jakub Marecek, Jia Yuan Yu, Rudi Verago, Elizabeth Daly, Nico Piatkowski, Thomas Liebig, Christian Bockermann, Katharina Morik, François Schnitzler, Matthias Weidlich, Avigdor Gal, Shie Mannor, Hendrik Stange, Werner Halft, Gennady L. Andrienko

ECML-PKDD 2014 Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights François Schnitzler, Alexander Artikis, Matthias Weidlich, Ioannis Boutsis, Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik, Vana Kalogeraki, Jakub Marecek, Avigdor Gal, Shie Mannor, Dermot Kinane, Dimitrios Gunopulos

ECML-PKDD 2012 Pedestrian Quantity Estimation with Trajectory Patterns Thomas Liebig, Zhao Xu, Michael May, Stefan Wrobel