Ушбу ишга иқтибос қилган ишлар

6 та иш

Иш: MoleculeNet: a benchmark for molecular machine learning

1. Predicting the activity and properties of chemicals based on RoBERTa

   Davronov Rifqat Rahimovich, Safarov Ro'zmat Abdiqayum O'g'li, Abdumalikov Shoxrux Qaxramon O'g'li

   МақолаComputational Drug Discovery Methods2021 International Conference on Information Science and Communications Technologies (ICISCT)20210 иқтибос

   ABIABI:AkademIndex/openalex/2021.article.001792

2. Generative Pre-Training from Molecules

   Sanjar Adilov

   ПрепринтMachine Learning in Materials ScienceChemRxiv20210 иқтибос

   ABIABI:AkademIndex/openalex/2021.preprint.000001

3. Generative Pre-Training from Molecules

   Sanjar Adilov

   ПрепринтMachine Learning in Materials Science20210 иқтибос

   ABIABI:AkademIndex/openalex/2021.preprint.000016

4. A robust and interpretable graph neural network-based protocol for predicting p-glycoprotein substrates

   Kuang-Cheng Hsu, Peihua Wang, Bo‐Han Su +1

   МақолаComputational Drug Discovery MethodsBriefings in Bioinformatics20250 иқтибос

   ABIABI:AkademIndex/openalex/2025.article.000817

5. Accurate classification of materials with elEmBERT: Element embeddings for chemical benchmarks

   Shokirbek Shermukhamedov, Dilorom Mamurjonova, Michael Probst

   МақолаMachine Learning in Materials ScienceAPL Machine Learning20250 иқтибос

   ABIABI:AkademIndex/openalex/2025.article.002993

6. Guided Ensemble Stacking Method for Predicting Biological Activities of Compounds

   Azar Shamloo, Jack A. Tuszyński, Yun K. Tam +1

   МақолаComputational Drug Discovery MethodsChemical Biology & Drug Design20250 иқтибос

   ABIABI:AkademIndex/openalex/2025.article.017257