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Deep Learning and Knowledge-Based Methods for Computer Aided Molecular
  Design -- Toward a Unified Approach: State-of-the-Art and Future Directions

Deep Learning and Knowledge-Based Methods for Computer Aided Molecular Design -- Toward a Unified Approach: State-of-the-Art and Future Directions

18 May 2020
Abdulelah S. Alshehri
R. Gani
Fengqi You
    AI4CE
ArXivPDFHTML

Papers citing "Deep Learning and Knowledge-Based Methods for Computer Aided Molecular Design -- Toward a Unified Approach: State-of-the-Art and Future Directions"

10 / 10 papers shown
Title
Generative AI and Process Systems Engineering: The Next Frontier
Generative AI and Process Systems Engineering: The Next Frontier
Benjamin Decardi-Nelson
Abdulelah S. Alshehri
Akshay Ajagekar
Fengqi You
AI4CE
LLMAG
26
24
0
15 Feb 2024
Computer-Aided Multi-Objective Optimization in Small Molecule Discovery
Computer-Aided Multi-Objective Optimization in Small Molecule Discovery
Jenna C. Fromer
Connor W. Coley
21
67
0
13 Oct 2022
MolGenSurvey: A Systematic Survey in Machine Learning Models for
  Molecule Design
MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design
Yuanqi Du
Tianfan Fu
Jimeng Sun
Shengchao Liu
AI4CE
28
86
0
28 Mar 2022
Graphical Gaussian Process Regression Model for Aqueous Solvation Free
  Energy Prediction of Organic Molecules in Redox Flow Battery
Graphical Gaussian Process Regression Model for Aqueous Solvation Free Energy Prediction of Organic Molecules in Redox Flow Battery
Peiyuan Gao
Xiu Yang
Yu Tang
Muqing Zheng
Amity Anderson
V. Murugesan
Aaron Hollas
Wei Wang
9
7
0
15 Jun 2021
An Introduction to Deep Reinforcement Learning
An Introduction to Deep Reinforcement Learning
Vincent François-Lavet
Peter Henderson
Riashat Islam
Marc G. Bellemare
Joelle Pineau
OffRL
AI4CE
80
1,231
0
30 Nov 2018
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation
  Models
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Daniil Polykovskiy
Alexander Zhebrak
Benjamín Sánchez-Lengeling
Sergey Golovanov
Oktai Tatanov
...
Simon Johansson
Hongming Chen
Sergey I. Nikolenko
Alán Aspuru-Guzik
Alex Zhavoronkov
ELM
191
633
0
29 Nov 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph
  Generation
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You
Bowen Liu
Rex Ying
Vijay S. Pande
J. Leskovec
GNN
203
885
0
07 Jun 2018
Conditional molecular design with deep generative models
Conditional molecular design with deep generative models
Seokho Kang
Kyunghyun Cho
BDL
157
183
0
30 Apr 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
224
1,337
0
12 Feb 2018
Input Convex Neural Networks
Input Convex Neural Networks
Brandon Amos
Lei Xu
J. Zico Kolter
178
598
0
22 Sep 2016
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