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Graph Learning Should Move Beyond Restrictive Views of Spectral and Message-Passing GNNs2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access
Antonis Vasileiou, Juan Cerviño, Pascal Frossard, Charilaos I. Kanatsoulis, Christopher Morris, Michael P. Schaub, +4 more
0citations -
Deep End-To-End Learning on Molecular Graphs for Physico-Chemical Property Prediction using Graph Neural Networks : 8th - 9th July 2020 ; 3rd International Conference on Machine Learning an AI in (bio)Chemical Engineering2020 RWTH Publications (RWTH Aachen) conference-paper Computer Science Computational Drug Discovery Methods Open access
Jan G. Rittig, Artur M. Schweidtmann, Andrea Anna König, Manuel Dahmen, Martin Grohe, Alexander Mitsos
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Accurately Solving Rod Dynamics with Graph Learning2021 King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology) conference-paper Computer Science Computer Graphics and Visualization Techniques
Tassilo Kugelstadt, Torsten Hädrich, Wojtek Pałubicki, Jan Bender, Sören Pirk, Dominik Ludewig Michels
6citations -
MultiGML: Multimodal Graph Machine Learning for Prediction of Adverse Drug Events2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Computational Drug Discovery Methods Open access
Sophia Krix, Lauren Nicole DeLong, Sumit Madan, Daniel Domingo‐Fernándéz, Ashar Ahmad, Sheraz Gul, +2 more
3citations -
Spot What Matters: Learning Context Using Graph Convolutional Networks for Weakly-Supervised Action Detection2021 Lecture notes in computer science conference-paper Computer Science Human Pose and Action Recognition Open access
Michail Tsiaousis, Gertjan J. Burghouts, Fieke Hillerström, Peter van der Putten
0citations