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. 1904.08915
  4. Cited By
Decoding Molecular Graph Embeddings with Reinforcement Learning

Decoding Molecular Graph Embeddings with Reinforcement Learning

18 April 2019
S. Kearnes
Li Li
Patrick F. Riley
    OffRL
    GNN
ArXivPDFHTML

Papers citing "Decoding Molecular Graph Embeddings with Reinforcement Learning"

4 / 4 papers shown
Title
Geometric learning of the conformational dynamics of molecules using
  dynamic graph neural networks
Geometric learning of the conformational dynamics of molecules using dynamic graph neural networks
Michael Ashby
Jenna A. Bilbrey
25
4
0
24 Jun 2021
A Systematic Survey on Deep Generative Models for Graph Generation
A Systematic Survey on Deep Generative Models for Graph Generation
Xiaojie Guo
Liang Zhao
MedIm
46
147
0
13 Jul 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
215
886
0
07 Jun 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
242
1,340
0
12 Feb 2018
1