Papers matching “graph structure learning” 52
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Utilizing protein structure graph embeddings to predict the pathogenicity of missense variants2025 NAR Genomics and Bioinformatics article Biochemistry, Genetics and Molecular Biology Genomics and Rare Diseases Open access
Martin Danner, Matthias Begemann, Miriam Elbracht, Ingo Kurth, Jeremias Krause
3citations -
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing2023 ACM Transactions on Information Systems article Computer Science Intelligent Tutoring Systems and Adaptive Learning Open access cited by 1 patent
Chaoran Cui, Yumo Yao, Chunyun Zhang, Hebo Ma, Zhaochun Ren, James Ko
98citations -
DEGAST3D: Learning Deformable 3D Graph Similarity to Track Plant Cells in Unregistered Time Lapse Images2025 IEEE Transactions on Computational Biology and Bioinformatics article Biochemistry, Genetics and Molecular Biology Cell Image Analysis Techniques Open access
Md Shazid Islam, Arindam Dutta, Calvin-Khang Ta, Kevin Rodriguez, Christian T. Michael, Mark Alber, +2 more
1citations -
Unsupervised protein embeddings outperform hand-crafted sequence and structure features at predicting molecular function2020 Bioinformatics article Biochemistry, Genetics and Molecular Biology Machine Learning in Bioinformatics Open access cited by 2 patents
Amelia Villegas-Morcillo, Stavros Makrodimitris, Roeland C. H. J. van Ham, Angel Manuel Gomez, Marcel J. T. Reinders
137citations -
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 -
Predicting the Temperature Dependence of Surfactant CMCs Using Graph Neural Networks2024 Journal of Chemical Theory and Computation article Chemistry Surfactants and Colloidal Systems Open access cited by 1 patent
Christoforos Brozos, Jan G. Rittig, Elie Akanny, Christina Kohlmann, Alexander Mitsos
21citations