BOOK-CHAPTER

A Variational Autoencoder—General Adversarial Networks (VAE-GAN) Based Model for Ligand Designing

K. MukeshSrisurya Ippatapu VenkataChereddy SpandanaE. AnbazhaganI R Oviya

Year: 2022 Lecture notes in networks and systems Pages: 761-768   Publisher: Springer International Publishing
Keywords:
Autoencoder Computer science Artificial intelligence Deep learning Drug repositioning Benchmark (surveying) Machine learning Artificial neural network Drug Biology

Metrics

23
Cited By
15.92
FWCI (Field Weighted Citation Impact)
9
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Computational Drug Discovery Methods
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Machine Learning in Materials Science
Physical Sciences →  Materials Science →  Materials Chemistry
Protein Structure and Dynamics
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology

Related Documents

BOOK-CHAPTER

HD-VAE-GAN: Hiding Data with Variational Autoencoder Generative Adversarial Networks

Rohit GandikotaDeepak Mishra

Communications in computer and information science Year: 2023 Pages: 29-43
JOURNAL ARTICLE

AD-VAE: Adversarial Disentangling Variational Autoencoder

A. de Faria e SilvaRicardo Farias

Journal:   Sensors Year: 2025 Vol: 25 (5)Pages: 1574-1574
BOOK-CHAPTER

Variational Autoencoder (VAE)

Lei Li

Year: 2025 Pages: 127-136
JOURNAL ARTICLE

Comparative Analysis of Variational Autoencoder (VAE) and Generative Adversarial Network (GAN) Algorithms for image

Aaz M Hafidz AzisYogi Saputra

Journal:   JESII Journal of Elektronik Sistem InformasI Year: 2023 Vol: 1 (2)Pages: 75-81
JOURNAL ARTICLE

GAN-VAE: Elevate Generative Ineffective Image Through Variational Autoencoder

Jiayi ChenWei Song

Journal:   2022 5th International Conference on Pattern Recognition and Artificial Intelligence (PRAI) Year: 2022 Pages: 765-770
© 2026 ScienceGate Book Chapters — All rights reserved.