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Variational Inference for Graph Convolutional Networks in the Absence of
  Graph Data and Adversarial Settings

Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings

5 June 2019
P. Elinas
Edwin V. Bonilla
Louis C. Tiao
    BDL
    GNN
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Papers citing "Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings"

2 / 2 papers shown
Title
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
23
113
0
16 Dec 2020
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
234
1,801
0
25 Nov 2016
1