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Graph Attention Networks
v1v2v3 (latest)

Graph Attention Networks

International Conference on Learning Representations (ICLR), 2017
30 October 2017
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
    GNN
ArXiv (abs)PDFHTML

Papers citing "Graph Attention Networks"

50 / 8,375 papers shown
Modeling Attention Flow on Graphs
Modeling Attention Flow on Graphs
Xiaoran Xu
Songpeng Zu
Chengliang Gao
Yuan Zhang
Wei Feng
GNN
158
11
0
01 Nov 2018
Online Planner Selection with Graph Neural Networks and Adaptive
  Scheduling
Online Planner Selection with Graph Neural Networks and Adaptive Scheduling
Tengfei Ma
Patrick Ferber
Siyu Huo
Jie Chen
Michael Katz
335
36
0
01 Nov 2018
A Regularized Attention Mechanism for Graph Attention Networks
A Regularized Attention Mechanism for Graph Attention Networks
U. Shanthamallu
Jayaraman J. Thiagarajan
A. Spanias
OODGNN
174
18
0
01 Nov 2018
AutoInt: Automatic Feature Interaction Learning via Self-Attentive
  Neural Networks
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
Weiping Song
Chence Shi
Zhiping Xiao
Zhijian Duan
Yewen Xu
Ming Zhang
Jian Tang
CML
322
982
0
29 Oct 2018
Learning and Interpreting Multi-Multi-Instance Learning Networks
Learning and Interpreting Multi-Multi-Instance Learning Networks
Alessandro Tibo
M. Jaeger
P. Frasconi
AI4CE
341
24
0
26 Oct 2018
Streaming Graph Neural Networks
Streaming Graph Neural Networks
Yao Ma
Ziyi Guo
Zhaochun Ren
Eric Zhao
Shucheng Zhou
D. Yin
GNN
195
266
0
24 Oct 2018
Graph Convolutional Reinforcement Learning
Graph Convolutional Reinforcement Learning
Jiechuan Jiang
Chen Dun
Tiejun Huang
Zongqing Lu
GNN
212
398
0
22 Oct 2018
Exploring Correlations in Multiple Facial Attributes through Graph
  Attention Network
Exploring Correlations in Multiple Facial Attributes through Graph Attention Network
Yan Zhang
Li Sun
CVBM
114
1
0
22 Oct 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Johannes Klicpera
Aleksandar Bojchevski
Stephan Günnemann
GNN
1.0K
1,921
0
14 Oct 2018
PointGrow: Autoregressively Learned Point Cloud Generation with
  Self-Attention
PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention
Yongbin Sun
Yue Wang
Ziwei Liu
J. Siegel
Sanjay E. Sarma
3DPC
259
216
0
12 Oct 2018
GrAMME: Semi-Supervised Learning using Multi-layered Graph Attention
  Models
GrAMME: Semi-Supervised Learning using Multi-layered Graph Attention Models
U. Shanthamallu
Jayaraman J. Thiagarajan
Huan Song
A. Spanias
GNN
169
43
0
02 Oct 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
885
9,072
0
01 Oct 2018
Deep Graph Infomax
Deep Graph InfomaxInternational Conference on Learning Representations (ICLR), 2018
Petar Velickovic
W. Fedus
William L. Hamilton
Pietro Lio
Yoshua Bengio
R. Devon Hjelm
GNN
535
2,786
0
27 Sep 2018
Every Node Counts: Self-Ensembling Graph Convolutional Networks for
  Semi-Supervised Learning
Every Node Counts: Self-Ensembling Graph Convolutional Networks for Semi-Supervised LearningPattern Recognition (Pattern Recognit.), 2018
Yawei Luo
T. Guan
Junqing Yu
Ping Liu
Yi Yang
SSLGNN
180
34
0
26 Sep 2018
Hypergraph Neural Networks
Hypergraph Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2018
Yifan Feng
Haoxuan You
Zizhao Zhang
Rongrong Ji
Yue Gao
GNN
333
1,737
0
25 Sep 2018
Graph Neural Networks for IceCube Signal Classification
Graph Neural Networks for IceCube Signal Classification
Nicholas Choma
Federico Monti
Lisa Gerhardt
T. Palczewski
Z. Ronaghi
P. Prabhat
W. Bhimji
M. Bronstein
S. Klein
Joan Bruna
247
79
0
17 Sep 2018
MeshCNN: A Network with an Edge
MeshCNN: A Network with an Edge
Rana Hanocka
Amir Hertz
N. Fish
Raja Giryes
S. Fleishman
Daniel Cohen-Or
306
332
0
16 Sep 2018
Graph Convolutional Networks for Text Classification
Graph Convolutional Networks for Text Classification
Liang Yao
Chengsheng Mao
Yuan Luo
GNN
398
1,988
0
15 Sep 2018
Multi-Kernel Diffusion CNNs for Graph-Based Learning on Point Clouds
Multi-Kernel Diffusion CNNs for Graph-Based Learning on Point Clouds
Christoph Großbröhmer
Jasper Diesel
M. Heinrich
DiffM3DPC
152
7
0
14 Sep 2018
Adaptive Sampling Towards Fast Graph Representation Learning
Adaptive Sampling Towards Fast Graph Representation Learning
Wen-bing Huang
Tong Zhang
Yu Rong
Junzhou Huang
GNN
208
533
0
14 Sep 2018
Higher-order Graph Convolutional Networks
Higher-order Graph Convolutional Networks
J. B. Lee
Ryan A. Rossi
Xiangnan Kong
Sungchul Kim
Eunyee Koh
Anup B. Rao
GNN
151
38
0
12 Sep 2018
Exploiting Edge Features in Graph Neural Networks
Exploiting Edge Features in Graph Neural Networks
Liyu Gong
Qiang Cheng
GNN
105
21
0
07 Sep 2018
HyperGCN: A New Method of Training Graph Convolutional Networks on
  Hypergraphs
HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs
N. Yadati
M. Nimishakavi
Prateek Yadav
Vikram Nitin
Anand Louis
Partha P. Talukdar
GNN
354
36
0
07 Sep 2018
Semi-supervised Learning on Graphs with Generative Adversarial Nets
Semi-supervised Learning on Graphs with Generative Adversarial Nets
Ming Ding
Jie Tang
Jie Zhang
GNNGAN
227
120
0
01 Sep 2018
Story Ending Generation with Incremental Encoding and Commonsense
  Knowledge
Story Ending Generation with Incremental Encoding and Commonsense Knowledge
Jian Guan
Yansen Wang
Shiyu Huang
LRM
275
165
0
30 Aug 2018
Question Answering by Reasoning Across Documents with Graph
  Convolutional Networks
Question Answering by Reasoning Across Documents with Graph Convolutional Networks
Nicola De Cao
Wilker Aziz
Ivan Titov
BDLRALMGNN
349
238
0
29 Aug 2018
Smoothed Dilated Convolutions for Improved Dense Prediction
Smoothed Dilated Convolutions for Improved Dense Prediction
Zhengyang Wang
Shuiwang Ji
170
174
0
27 Aug 2018
Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs
Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs
Dimitri Kartsaklis
Mohammad Taher Pilehvar
Nigel Collier
179
59
0
23 Aug 2018
Attention Gated Networks: Learning to Leverage Salient Regions in
  Medical Images
Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images
Jo Schlemper
Ozan Oktay
M. Schaap
M. Heinrich
Bernhard Kainz
Ben Glocker
Daniel Rueckert
MedIm
302
1,652
0
22 Aug 2018
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation
Yunsheng Bai
Haoyang Ding
Song Bian
Ting-Li Chen
Luke Huan
Wei Wang
GNN
273
380
0
16 Aug 2018
Large-Scale Learnable Graph Convolutional Networks
Large-Scale Learnable Graph Convolutional Networks
Hongyang Gao
Zhengyang Wang
Shuiwang Ji
GNN
219
633
0
12 Aug 2018
Graph R-CNN for Scene Graph Generation
Graph R-CNN for Scene Graph Generation
Jianwei Yang
Jiasen Lu
Stefan Lee
Dhruv Batra
Devi Parikh
GNN
364
903
0
01 Aug 2018
Stochastic Gradient Descent with Biased but Consistent Gradient
  Estimators
Stochastic Gradient Descent with Biased but Consistent Gradient Estimators
Jie Chen
Ronny Luss
266
46
0
31 Jul 2018
Attention Models in Graphs: A Survey
Attention Models in Graphs: A SurveyACM Transactions on Knowledge Discovery from Data (TKDD), 2018
J. B. Lee
Ryan A. Rossi
Sungchul Kim
Nesreen K. Ahmed
Eunyee Koh
GNN
165
170
0
20 Jul 2018
DeepInf: Social Influence Prediction with Deep Learning
DeepInf: Social Influence Prediction with Deep Learning
J. Qiu
Jian Tang
Hao Ma
Yuxiao Dong
Kuansan Wang
Jie Tang
GNNAI4CE
225
595
0
15 Jul 2018
Easing Embedding Learning by Comprehensive Transcription of
  Heterogeneous Information Networks
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks
Yu Shi
Qi Zhu
Fang Guo
Chao Zhang
Jiawei Han
186
120
0
10 Jul 2018
When Work Matters: Transforming Classical Network Structures to Graph
  CNN
When Work Matters: Transforming Classical Network Structures to Graph CNN
Wenting Zhao
Chunyan Xu
Zhen Cui
Tong Zhang
Jiatao Jiang
Ying Tai
Zhiqiang Wang
GNN
127
15
0
07 Jul 2018
Hierarchical Graph Representation Learning with Differentiable Pooling
Hierarchical Graph Representation Learning with Differentiable Pooling
Rex Ying
Jiaxuan You
Christopher Morris
Xiang Ren
William L. Hamilton
J. Leskovec
GNN
607
2,363
0
22 Jun 2018
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
395
252
0
19 Jun 2018
Object Level Visual Reasoning in Videos
Object Level Visual Reasoning in Videos
Fabien Baradel
Natalia Neverova
Christian Wolf
J. Mille
Greg Mori
311
170
0
16 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
864
2,246
0
09 Jun 2018
Spectral Network Embedding: A Fast and Scalable Method via Sparsity
Spectral Network Embedding: A Fast and Scalable Method via Sparsity
Jie Zhang
Yan Wang
Jie Tang
Ming Ding
GNN
75
5
0
07 Jun 2018
Deep Vessel Segmentation By Learning Graphical Connectivity
Deep Vessel Segmentation By Learning Graphical Connectivity
Seung Yeon Shin
Soochahn Lee
I. Yun
Kyoung Mu Lee
160
230
0
06 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
370
218
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
154
58
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
AI4CENAI
1.3K
3,398
0
04 Jun 2018
Dual-Primal Graph Convolutional Networks
Dual-Primal Graph Convolutional Networks
Federico Monti
Oleksandr Shchur
Aleksandar Bojchevski
Or Litany
Stephan Günnemann
M. Bronstein
GNN
166
83
0
03 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 Guibas
AAMLGNN
179
42
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 Xing
365
331
0
29 May 2018
Deep Graph Translation
Deep Graph Translation
Xiaojie Guo
Lingfei Wu
Bo Pan
GNN
203
35
0
25 May 2018
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