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Hyperbolic relational graph convolution networks plus: a simple but highly efficient QSAR-modeling method.

Z. Wu, D. Jiang, C. Hsieh, G. Chen, B. Liao, D. Cao, and T. Hou. Briefings Bioinform., (2021)

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Zhenxing Ren

Zhenxing Wang

Jinglan Wu

Recovery of citric acid from fermentation broth using simulated moving bed technology: = Reinigung von Zitronensäure aus Fermentationslösung durch kontinuierliche ChromatographieJ. Wu. Uni Erlangen-Nürnberg, (2009)

Jinjin Wu

Yinghua Wu

Other publications of authors with the same name

Hyperbolic relational graph convolution networks plus: a simple but highly efficient QSAR-modeling method.Z. Wu, D. Jiang, C. Hsieh, G. Chen, B. Liao, D. Cao, and T. Hou. Briefings Bioinform., (2021)Multi-constraint molecular generation based on conditional transformer, knowledge distillation and reinforcement learning.J. Wang, C. Hsieh, M. Wang, X. Wang, Z. Wu, D. Jiang, B. Liao, X. Zhang, B. Yang, Q. He and 3 other author(s). Nat. Mach. Intell., 3 (10): 914-922 (2021)Knowledge-based BERT: a method to extract molecular features like computational chemists.Z. Wu, D. Jiang, J. Wang, X. Zhang, H. Du, L. Pan, C. Hsieh, D. Cao, and T. Hou. Briefings Bioinform., (2022)From Black Boxes to Actionable Insights: A Perspective on Explainable Artificial Intelligence for Scientific Discovery.Z. Wu, J. Chen, Y. Li, Y. Deng, H. Zhao, C. Hsieh, and T. Hou. J. Chem. Inf. Model., 63 (24): 7617-7627 (December 2023)ALipSol: An Attention-Driven Mixture-of-Experts Model for Lipophilicity and Solubility Prediction.J. Wu, J. Wang, Z. Wu, S. Zhang, Y. Deng, Y. Kang, D. Cao, C. Hsieh, and T. Hou. J. Chem. Inf. Model., 62 (23): 5975-5987 (2022)Out-of-the-box deep learning prediction of quantum-mechanical partial charges by graph representation and transfer learning.D. Jiang, H. Sun, J. Wang, C. Hsieh, Y. Li, Z. Wu, D. Cao, J. Wu, and T. Hou. Briefings Bioinform., (2022)DeepChargePredictor: a web server for predicting QM-based atomic charges via state-of-the-art machine-learning algorithms.J. Wang, H. Sun, J. Chen, D. Jiang, Z. Wang, Z. Wu, X. Chen, D. Cao, and T. Hou. Bioinform., 37 (22): 4255-4257 (November 2021)Domestic cat nose functions as a highly efficient coiled parallel gas chromatograph.Z. Wu, J. Jiang, F. Lischka, S. McGrane, Y. Porat-Mesenco, and K. Zhao. PLoS Comput. Biol., (2023)Taste of time: A porous-medium model for human tongue surface with implications for early taste perception.Z. Wu, and K. Zhao. PLoS Comput. Biol., (2020)Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models.D. Jiang, Z. Wu, C. Hsieh, G. Chen, B. Liao, Z. Wang, C. Shen, D. Cao, J. Wu, and T. Hou. J. Cheminformatics, 13 (1): 12 (2021)

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Disambiguation of "Wu, Zhenxing"

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Hyperbolic relational graph convolution networks plus: a simple but highly efficient QSAR-modeling method.

Please choose a person to relate this publication to

Zhenxing Ren

Zhenxing Wang

Jinglan Wu

Jinjin Wu

Yinghua Wu

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Wu, Zhenxing"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Hyperbolic relational graph convolution networks plus: a simple but highly efficient QSAR-modeling method.

Please choose a person to relate this publication to

Zhenxing Ren

Zhenxing Wang

Jinglan Wu

Jinjin Wu

Yinghua Wu

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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Chicago
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Hyperbolic relational graph convolution networks plus: a simple but highly efficient QSAR-modeling method.