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Graph Convolution for Semi-Supervised Classification: Improved Linear
  Separability and Out-of-Distribution Generalization
v1v2v3v4 (latest)

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

13 February 2021
Aseem Baranwal
Kimon Fountoulakis
Aukosh Jagannath
    OODD
ArXiv (abs)PDFHTML

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

2 / 52 papers shown
Title
Is Homophily a Necessity for Graph Neural Networks?
Is Homophily a Necessity for Graph Neural Networks?
Yao Ma
Xiaorui Liu
Neil Shah
Jiliang Tang
54
236
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
118
255
0
12 Feb 2021
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