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. 2301.01829
  4. Cited By
t-SMILES: A Scalable Fragment-based Molecular Representation Framework
  for De Novo Molecule Generation

t-SMILES: A Scalable Fragment-based Molecular Representation Framework for De Novo Molecule Generation

4 January 2023
Juan-Ni Wu
Tong Wang
Yue (Eleanor) Chen
Li-Juan Tang
Hai-Long Wu
Ru-Qin Yu
ArXivPDFHTML

Papers citing "t-SMILES: A Scalable Fragment-based Molecular Representation Framework for De Novo Molecule Generation"

4 / 4 papers shown
Title
Molecular Representation Learning via Heterogeneous Motif Graph Neural
  Networks
Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks
Zhaoning Yu
Hongyang Gao
21
38
0
01 Feb 2022
Keeping it Simple: Language Models can learn Complex Molecular
  Distributions
Keeping it Simple: Language Models can learn Complex Molecular Distributions
Daniel Flam-Shepherd
Kevin Zhu
A. Aspuru‐Guzik
122
142
0
06 Dec 2021
The NLP Cookbook: Modern Recipes for Transformer based Deep Learning
  Architectures
The NLP Cookbook: Modern Recipes for Transformer based Deep Learning Architectures
Sushant Singh
A. Mahmood
AI4TS
45
91
0
23 Mar 2021
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
211
1,329
0
12 Feb 2018
1