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Graph Attention Networks

Graph Attention Networks

30 October 2017
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lió
Yoshua Bengio
    GNN
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Papers citing "Graph Attention Networks"

18 / 2,668 papers shown
Title
Learning Conditioned Graph Structures for Interpretable Visual Question
  Answering
Learning Conditioned Graph Structures for Interpretable Visual Question Answering
Will Norcliffe-Brown
Efstathios Vafeias
Sarah Parisot
GNN
18
236
0
19 Jun 2018
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
270
1,944
0
09 Jun 2018
Relational recurrent neural networks
Relational recurrent neural networks
Adam Santoro
Ryan Faulkner
David Raposo
Jack W. Rae
Mike Chrzanowski
T. Weber
Daan Wierstra
Oriol Vinyals
Razvan Pascanu
Timothy Lillicrap
GNN
30
209
0
05 Jun 2018
Graph Saliency Maps through Spectral Convolutional Networks: Application
  to Sex Classification with Brain Connectivity
Graph Saliency Maps through Spectral Convolutional Networks: Application to Sex Classification with Brain Connectivity
Salim Arslan
S. Ktena
Ben Glocker
Daniel Rueckert
GNN
19
53
0
05 Jun 2018
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CE
NAI
103
3,080
0
04 Jun 2018
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks
Jan Svoboda
Jonathan Masci
Federico Monti
M. Bronstein
Leonidas J. Guibas
AAML
GNN
33
41
0
31 May 2018
Rethinking Knowledge Graph Propagation for Zero-Shot Learning
Rethinking Knowledge Graph Propagation for Zero-Shot Learning
Michael C. Kampffmeyer
Yinbo Chen
Xiaodan Liang
Hao Wang
Yujia Zhang
Eric P. Xing
29
303
0
29 May 2018
AffinityNet: semi-supervised few-shot learning for disease type
  prediction
AffinityNet: semi-supervised few-shot learning for disease type prediction
Tianle Ma
A. Zhang
19
55
0
22 May 2018
Tensorized Self-Attention: Efficiently Modeling Pairwise and Global
  Dependencies Together
Tensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together
Tao Shen
Dinesh Manocha
Guodong Long
Jing Jiang
Chengqi Zhang
43
14
0
02 May 2018
Graph2Seq: Graph to Sequence Learning with Attention-based Neural
  Networks
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks
Kun Xu
Lingfei Wu
Zhiguo Wang
Yansong Feng
Michael Witbrock
V. Sheinin
GNN
25
171
0
03 Apr 2018
Graphite: Iterative Generative Modeling of Graphs
Graphite: Iterative Generative Modeling of Graphs
Aditya Grover
Aaron Zweig
Stefano Ermon
BDL
21
296
0
28 Mar 2018
Attention, Learn to Solve Routing Problems!
Attention, Learn to Solve Routing Problems!
W. Kool
H. V. Hoof
Max Welling
11
1,175
0
22 Mar 2018
MILE: A Multi-Level Framework for Scalable Graph Embedding
MILE: A Multi-Level Framework for Scalable Graph Embedding
Jiongqian Liang
Saket Gurukar
Srinivas Parthasarathy
GNN
20
77
0
26 Feb 2018
Semi-Supervised Learning on Graphs Based on Local Label Distributions
Semi-Supervised Learning on Graphs Based on Local Label Distributions
Evgheniy Faerman
Felix Borutta
Julian Busch
Matthias Schubert
33
7
0
15 Feb 2018
Edge Attention-based Multi-Relational Graph Convolutional Networks
Chao Shang
Qinqing Liu
Ko-Shin Chen
Jiangwen Sun
Jin Lu
Jinfeng Yi
J. Bi
GNN
35
93
0
14 Feb 2018
Hybrid Approach of Relation Network and Localized Graph Convolutional
  Filtering for Breast Cancer Subtype Classification
Hybrid Approach of Relation Network and Localized Graph Convolutional Filtering for Breast Cancer Subtype Classification
SungMin Rhee
Seokjun Seo
Sun Kim
GNN
28
173
0
16 Nov 2017
CayleyNets: Graph Convolutional Neural Networks with Complex Rational
  Spectral Filters
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters
Ron Levie
Federico Monti
Xavier Bresson
M. Bronstein
GNN
35
657
0
22 May 2017
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
251
1,811
0
25 Nov 2016
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