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Meta-Learning GNN Initializations for Low-Resource Molecular Property
  Prediction

Meta-Learning GNN Initializations for Low-Resource Molecular Property Prediction

12 March 2020
Cuong C. Nguyen
Constantine Kreatsoulas
K. Branson
    AI4CE
ArXivPDFHTML

Papers citing "Meta-Learning GNN Initializations for Low-Resource Molecular Property Prediction"

4 / 4 papers shown
Title
MolGenSurvey: A Systematic Survey in Machine Learning Models for
  Molecule Design
MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design
Yuanqi Du
Tianfan Fu
Jimeng Sun
Shengchao Liu
AI4CE
25
86
0
28 Mar 2022
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
  of MAML
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
177
639
0
19 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
314
11,681
0
09 Mar 2017
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
169
1,775
0
02 Mar 2017
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