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Improving VAE based molecular representations for compound property
  prediction
v1v2v3 (latest)

Improving VAE based molecular representations for compound property prediction

Journal of Cheminformatics (J. Cheminform.), 2022
13 January 2022
Ani Tevosyan
L. Khondkaryan
Hrant Khachatrian
G. Tadevosyan
L. Apresyan
N. Babayan
H. Stopper
Zaven Navoyan
    DRL
ArXiv (abs)PDFHTML

Papers citing "Improving VAE based molecular representations for compound property prediction"

2 / 2 papers shown
Diffusion Models at the Drug Discovery Frontier: A Review on Generating Small Molecules versus Therapeutic Peptides
Diffusion Models at the Drug Discovery Frontier: A Review on Generating Small Molecules versus Therapeutic Peptides
Yiquan Wang
Yahui Ma
Yuhan Chang
Jiayao Yan
Jialin Zhang
Minnuo Cai
Kai Wei
MedIm
491
2
0
31 Oct 2025
MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning
MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning
Peter Eckmann
D. Wu
G. Heinzelmann
Michael K. Gilson
Rose Yu
AI4CE
368
0
0
15 Oct 2024
1
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