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Benchmarking Deep Graph Generative Models for Optimizing New Drug
  Molecules for COVID-19

Benchmarking Deep Graph Generative Models for Optimizing New Drug Molecules for COVID-19

9 February 2021
Logan T. Ward
Jenna A. Bilbrey
Sutanay Choudhury
Neeraj Kumar
Ganesh Sivaraman
    GNN
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Papers citing "Benchmarking Deep Graph Generative Models for Optimizing New Drug Molecules for COVID-19"

3 / 3 papers shown
Title
Monte Carlo Thought Search: Large Language Model Querying for Complex
  Scientific Reasoning in Catalyst Design
Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst Design
Henry W Sprueill
Carl N. Edwards
Mariefel V. Olarte
Udishnu Sanyal
Heng Ji
Sutanay Choudhury
LRM
32
10
0
22 Oct 2023
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
200
885
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
224
1,337
0
12 Feb 2018
1