ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2202.09212
  4. Cited By
Molecule Generation for Drug Design: a Graph Learning Perspective

Molecule Generation for Drug Design: a Graph Learning Perspective

18 February 2022
Nianzu Yang
Huaijin Wu
Xiaoyong Pan
Ye Yuan
Junchi Yan
ArXivPDFHTML

Papers citing "Molecule Generation for Drug Design: a Graph Learning Perspective"

7 / 7 papers shown
Title
A 3D Generative Model for Structure-Based Drug Design
A 3D Generative Model for Structure-Based Drug Design
Shitong Luo
Jiaqi Guan
Jianzhu Ma
Jian-wei Peng
DiffM
60
176
0
20 Mar 2022
GraphDF: A Discrete Flow Model for Molecular Graph Generation
GraphDF: A Discrete Flow Model for Molecular Graph Generation
Youzhi Luo
Keqiang Yan
Shuiwang Ji
DRL
157
185
0
01 Feb 2021
Deep Graph Generators: A Survey
Deep Graph Generators: A Survey
Faezeh Faez
Yassaman Ommi
M. Baghshah
Hamid R. Rabiee
GNN
AI4CE
31
56
0
31 Dec 2020
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
181
878
0
07 Jun 2018
Conditional molecular design with deep generative models
Conditional molecular design with deep generative models
Seokho Kang
Kyunghyun Cho
BDL
138
182
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
208
1,205
0
12 Feb 2018
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
252
1,394
0
01 Dec 2016
1