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Meta-Learning with Graph Neural Networks: Methods and Applications
v1v2v3 (latest)

Meta-Learning with Graph Neural Networks: Methods and Applications

27 February 2021
Debmalya Mandal
Sourav Medya
Brian Uzzi
Charu C. Aggarwal
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Meta-Learning with Graph Neural Networks: Methods and Applications"

5 / 55 papers shown
Title
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
679
29,183
0
09 Sep 2016
Gated Graph Sequence Neural Networks
Gated Graph Sequence Neural Networks
Yujia Li
Daniel Tarlow
Marc Brockschmidt
R. Zemel
GNN
347
3,288
0
17 Nov 2015
The Benefit of Multitask Representation Learning
The Benefit of Multitask Representation Learning
Andreas Maurer
Massimiliano Pontil
Bernardino Romera-Paredes
SSL
112
377
0
23 May 2015
Excess risk bounds for multitask learning with trace norm regularization
Excess risk bounds for multitask learning with trace norm regularization
Andreas Maurer
Massimiliano Pontil
136
115
0
06 Dec 2012
A Model of Inductive Bias Learning
A Model of Inductive Bias Learning
Jonathan Baxter
111
1,217
0
01 Jun 2011
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