GRAPH CONVOLUTIONAL NETWORKS FOR DRUG RESPONSE PREDICTION

Authors

  • N.Namratha, Pailla teena reddy, Dathu yochitha, Medam kavya

Keywords:

GraphDRP, Convolutional Layers,Medication,Strings,addresses.

Abstract

In computational customized medication, foreseeing drug reaction is a key test. Many AI strategies,especially those in light of profound learning, have been created to resolve this issue. In any case, these techniques frequently address drugs as strings, which is certainly not an optimal method for portraying sub-atomic designs.

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References

Gilmer, J., Schoenholz, S. S., Riley, P. F., Vinyals, O., & Dahl, G. E. (2017). Neural message passing for quantum chemistry. In Proceedings of the 34thInternational Conference on Machine Learning-Volume 70 (pp. 1263-1272). JMLR. org.

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Published

2023-12-24

How to Cite

N.Namratha, Pailla teena reddy, Dathu yochitha, Medam kavya. (2023). GRAPH CONVOLUTIONAL NETWORKS FOR DRUG RESPONSE PREDICTION . Pegem Journal of Education and Instruction, 13(4), 583–591. Retrieved from https://pegegog.net/index.php/pegegog/article/view/4023

Issue

Vol. 13 No. 4 (2023): PEGEGOG

Section

Article

License

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