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Graph Convolution for Semi-Supervised Classification: Improved Linear
  Separability and Out-of-Distribution Generalization

Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization

13 February 2021
Aseem Baranwal
K. Fountoulakis
Aukosh Jagannath
    OODD
ArXivPDFHTML

Papers citing "Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization"

5 / 55 papers shown
Title
Subgroup Generalization and Fairness of Graph Neural Networks
Subgroup Generalization and Fairness of Graph Neural Networks
Jiaqi Ma
Junwei Deng
Qiaozhu Mei
8
79
0
29 Jun 2021
Is Homophily a Necessity for Graph Neural Networks?
Is Homophily a Necessity for Graph Neural Networks?
Yao Ma
Xiaorui Liu
Neil Shah
Jiliang Tang
13
225
0
11 Jun 2021
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph
  Convolutional Neural Networks
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks
Yujun Yan
Milad Hashemi
Kevin Swersky
Yaoqing Yang
Danai Koutra
21
247
0
12 Feb 2021
Contextual Stochastic Block Models
Contextual Stochastic Block Models
Y. Deshpande
Andrea Montanari
Elchanan Mossel
S. Sen
103
151
0
23 Jul 2018
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
258
1,398
0
01 Dec 2016
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