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Quantum Mechanics and Machine Learning Synergies: Graph Attention Neural
  Networks to Predict Chemical Reactivity

Quantum Mechanics and Machine Learning Synergies: Graph Attention Neural Networks to Predict Chemical Reactivity

24 March 2021
Mohammadamin Tavakoli
Aaron Mood
David Van Vranken
Pierre Baldi
    GNN
    AI4CE
ArXivPDFHTML

Papers citing "Quantum Mechanics and Machine Learning Synergies: Graph Attention Neural Networks to Predict Chemical Reactivity"

3 / 3 papers shown
Title
Rxn Hypergraph: a Hypergraph Attention Model for Chemical Reaction
  Representation
Rxn Hypergraph: a Hypergraph Attention Model for Chemical Reaction Representation
Mohammadamin Tavakoli
Alexander Shmakov
Francesco Ceccarelli
Pierre Baldi
GNN
39
8
0
02 Jan 2022
Deep neural network solution of the electronic Schrödinger equation
Deep neural network solution of the electronic Schrödinger equation
J. Hermann
Zeno Schätzle
Frank Noé
149
446
0
16 Sep 2019
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
206
885
0
07 Jun 2018
1