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An ensemble of VisNet, Transformer-M, and pretraining models for
  molecular property prediction in OGB Large-Scale Challenge @ NeurIPS 2022

An ensemble of VisNet, Transformer-M, and pretraining models for molecular property prediction in OGB Large-Scale Challenge @ NeurIPS 2022

23 November 2022
Yusong Wang
Shaoning Li
Zun Wang
Xinheng He
Bin Shao
Tie-Yan Liu
Tong Wang
    AI4CE
ArXivPDFHTML

Papers citing "An ensemble of VisNet, Transformer-M, and pretraining models for molecular property prediction in OGB Large-Scale Challenge @ NeurIPS 2022"

2 / 2 papers shown
Title
GPS++: Reviving the Art of Message Passing for Molecular Property
  Prediction
GPS++: Reviving the Art of Message Passing for Molecular Property Prediction
Dominic Masters
Josef Dean
Kerstin Klaser
Zhiyi Li
Sam Maddrell-Mander
...
D. Beker
Andrew Fitzgibbon
Shenyang Huang
Ladislav Rampášek
Dominique Beaini
38
8
0
06 Feb 2023
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate
  Interatomic Potentials
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials
Simon L. Batzner
Albert Musaelian
Lixin Sun
Mario Geiger
J. Mailoa
M. Kornbluth
N. Molinari
Tess E. Smidt
Boris Kozinsky
233
1,240
0
08 Jan 2021
1