Papers matching “graph structure learning” 145
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Shared Data and Algorithms for Deep Learning in Fundamental Physics2021 RWTH Publications (RWTH Aachen) article Physics and Astronomy Particle physics theoretical and experimental studies Open access
L. Benato, Erik Buhmann, Martin Erdmann, P. Fackeldey, Jonas Glombitza, Gregor Kasieczka, +4 more
0citations -
Graph neural networks for surfactant multi-property prediction2024 Colloids and Surfaces A Physicochemical and Engineering Aspects article Chemistry Surfactants and Colloidal Systems Open access cited by 1 patent
Christoforos Brozos, Jan G. Rittig, Elie Akanny, Christina Kohlmann, Alexander Mitsos
30citations -
Shared Data and Algorithms for Deep Learning in Fundamental Physics2022 Computing and Software for Big Science article Physics and Astronomy Particle physics theoretical and experimental studies Open access
L. Benato, Erik Buhmann, Martin Erdmann, P. Fackeldey, Jonas Glombitza, N. M. Hartmann, +7 more
25citations -
Multi-fidelity graph neural networks for predicting toluene/water partition coefficients2025 Journal of Cheminformatics article Pharmacology, Toxicology and Pharmaceutics Computational Drug Discovery Methods Open access
Thomas Nevolianis, Jan G. Rittig, Alexander Mitsos, Kai O. Leonhard
10citations -
GTCN-G: A Residual Graph-Temporal Fusion Network for Imbalanced Intrusion Detection2025 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) conference-paper Computer Science Network Security and Intrusion Detection Open access
Tianxiang Xu, Zhichao Wen, Xinyu Zhao, Qi Hu, Yan Li, Chang Liu
4citations -
TopoEmbedX: A General Framework for Representation Learning on Topological Domains2026 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access
Florian Frantzen, Ibrahem ALJabea, Inês Bonacho dos Anjos Henriques-Cadby, Theodore Papamarkou, Mustafa Hajij, Michael T. Schaub
0citations