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Agnieszka Wojtuch
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- affiliation: Jagiellonian University, Krakow, Poland
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2020 – today
- 2023
- [j6]Agnieszka Wojtuch, Tomasz Danel
, Sabina Podlewska, Lukasz Maziarka:
Extended study on atomic featurization in graph neural networks for molecular property prediction. J. Cheminformatics 15(1): 81 (2023) - 2021
- [j5]Stefan Mordalski
2D SIFt: a matrix of ligand-receptor interactions. J. Cheminformatics 13(1): 66 (2021) - [j4]Agnieszka Wojtuch
How can SHAP values help to shape metabolic stability of chemical compounds? J. Cheminformatics 13(1): 74 (2021) - [c2]Agnieszka Pocha, Tomasz Danel
Comparison of Atom Representations in Graph Neural Networks for Molecular Property Prediction. IJCNN 2021: 1-8 - 2020
- [j3]Krzysztof Misztal
The importance of standardisation - COVID-19 CT & Radiograph Image Data Stock for deep learning purpose. Comput. Biol. Medicine 127: 104092 (2020) - [j2]Lukasz Maziarka
Mol-CycleGAN: a generative model for molecular optimization. J. Cheminformatics 12(1): 2 (2020) - [j1]Stanislaw Jastrzebski, Maciej Szymczak, Agnieszka Pocha, Stefan Mordalski
Emulating Docking Results Using a Deep Neural Network: A New Perspective for Virtual Screening. J. Chem. Inf. Model. 60(9): 4246-4262 (2020) - [i2]Agnieszka Pocha, Tomasz Danel, Lukasz Maziarka:
Comparison of Atom Representations in Graph Neural Networks for Molecular Property Prediction. CoRR abs/2012.04444 (2020)
2010 – 2019
- 2019
- [c1]Lukasz Maziarka, Agnieszka Pocha, Jan Kaczmarczyk, Krzysztof Rataj, Michal Warchol:
Mol-CycleGAN - A Generative Model for Molecular Optimization. ICANN (Workshop) 2019: 810-816 - [i1]Lukasz Maziarka, Agnieszka Pocha, Jan Kaczmarczyk, Krzysztof Rataj, Michal Warchol:
Mol-CycleGAN - a generative model for molecular optimization. CoRR abs/1902.02119 (2019)
Coauthor Index
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