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A Recurrent Graph Neural Network for Multi-Relational Data

A Recurrent Graph Neural Network for Multi-Relational Data

5 November 2018
Xuankai Chang
A. Marques
G. Giannakis
    GNN
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Papers citing "A Recurrent Graph Neural Network for Multi-Relational Data"

14 / 14 papers shown
Title
Median activation functions for graph neural networks
Median activation functions for graph neural networks
Luana Ruiz
Fernando Gama
A. Marques
Alejandro Ribeiro
GNN
AI4CE
58
8
0
29 Oct 2018
Convolutional Neural Network Architectures for Signals Supported on
  Graphs
Convolutional Neural Network Architectures for Signals Supported on Graphs
Fernando Gama
A. Marques
G. Leus
Alejandro Ribeiro
169
286
0
01 May 2018
Adaptive Diffusions for Scalable Learning over Graphs
Adaptive Diffusions for Scalable Learning over Graphs
Dimitris Berberidis
A. Nikolakopoulos
G. Giannakis
GNN
56
37
0
05 Apr 2018
Kernel-based Inference of Functions over Graphs
Kernel-based Inference of Functions over Graphs
V. Ioannidis
Meng Ma
A. Nikolakopoulos
G. Giannakis
Daniel Romero
48
29
0
28 Nov 2017
Convolutional Neural Networks Via Node-Varying Graph Filters
Convolutional Neural Networks Via Node-Varying Graph Filters
Fernando Gama
G. Leus
A. Marques
Alejandro Ribeiro
GNN
214
19
0
27 Oct 2017
Structured Sequence Modeling with Graph Convolutional Recurrent Networks
Structured Sequence Modeling with Graph Convolutional Recurrent Networks
Youngjoo Seo
M. Defferrard
P. Vandergheynst
Xavier Bresson
GNN
125
768
0
22 Dec 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
697
3,274
0
24 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
577
28,999
0
09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
308
7,646
0
30 Jun 2016
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip
  Connections
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections
Xiao-Jiao Mao
Chunhua Shen
Yubin Yang
SupR
55
399
0
29 Jun 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
404
18,334
0
27 May 2016
Revisiting Semi-Supervised Learning with Graph Embeddings
Revisiting Semi-Supervised Learning with Graph Embeddings
Zhilin Yang
William W. Cohen
Ruslan Salakhutdinov
GNN
SSL
162
2,088
0
29 Mar 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.4K
149,842
0
22 Dec 2014
The Emerging Field of Signal Processing on Graphs: Extending
  High-Dimensional Data Analysis to Networks and Other Irregular Domains
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains
D. Shuman
S. K. Narang
P. Frossard
Antonio Ortega
P. Vandergheynst
120
3,972
0
31 Oct 2012
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