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. 2405.05293
  4. Cited By
A Review on Fragment-based De Novo 2D Molecule Generation

A Review on Fragment-based De Novo 2D Molecule Generation

8 May 2024
Sergei Voloboev
    VLM
ArXivPDFHTML

Papers citing "A Review on Fragment-based De Novo 2D Molecule Generation"

5 / 5 papers shown
Title
Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation
  in 3D
Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D
Bo Qiang
Yuxuan Song
Minkai Xu
Jingjing Gong
B. Gao
Hao Zhou
Weiying Ma
Yanyan Lan
DiffM
38
5
0
05 May 2023
Geometric Latent Diffusion Models for 3D Molecule Generation
Geometric Latent Diffusion Models for 3D Molecule Generation
Minkai Xu
Alexander Powers
R. Dror
Stefano Ermon
J. Leskovec
DiffM
AI4CE
39
131
0
02 May 2023
Top-N: Equivariant set and graph generation without exchangeability
Top-N: Equivariant set and graph generation without exchangeability
Clément Vignac
P. Frossard
BDL
52
34
0
05 Oct 2021
Deep Graph Generators: A Survey
Deep Graph Generators: A Survey
Faezeh Faez
Yassaman Ommi
M. Baghshah
Hamid R. Rabiee
GNN
AI4CE
34
56
0
31 Dec 2020
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
1