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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 / 8,373 papers shown
Fake News Detection on Social Media using Geometric Deep Learning
Fake News Detection on Social Media using Geometric Deep Learning
Federico Monti
Fabrizio Frasca
D. Eynard
Damon Mannion
M. Bronstein
GNN
229
530
0
10 Feb 2019
Size Independent Neural Transfer for RDDL Planning
Size Independent Neural Transfer for RDDL PlanningInternational Conference on Automated Planning and Scheduling (ICAPS), 2019
Sankalp Garg
Aniket Bajpai
Mausam
OffRL
148
43
0
08 Feb 2019
Graph Warp Module: an Auxiliary Module for Boosting the Power of Graph
  Neural Networks in Molecular Graph Analysis
Graph Warp Module: an Auxiliary Module for Boosting the Power of Graph Neural Networks in Molecular Graph Analysis
Katsuhiko Ishiguro
S. Maeda
Masanori Koyama
GNN
184
32
0
04 Feb 2019
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded ObjectsInternational Conference on Machine Learning (ICML), 2019
Edward James Smith
Scott Fujimoto
Adriana Romero
David Meger
156
96
0
31 Jan 2019
HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding
HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding
Sheng Zhou
Jiajun Bu
Xin Eric Wang
Jiawei Chen
Can Wang
201
28
0
31 Jan 2019
Label Efficient Semi-Supervised Learning via Graph Filtering
Label Efficient Semi-Supervised Learning via Graph Filtering
Qimai Li
Xiao-Ming Wu
Han Liu
Xiaotong Zhang
Zhichao Guan
260
173
0
28 Jan 2019
Deep Learning on Attributed Graphs: A Journey from Graphs to Their
  Embeddings and Back
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back
M. Simonovsky
BDLGNN
170
1
0
24 Jan 2019
Confidence-based Graph Convolutional Networks for Semi-Supervised
  Learning
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
Shikhar Vashishth
Prateek Yadav
Manik Bhandari
Partha P. Talukdar
GNN
191
40
0
24 Jan 2019
Hypergraph Convolution and Hypergraph Attention
Hypergraph Convolution and Hypergraph Attention
S. Bai
Feihu Zhang
Juil Sock
GNN
336
772
0
23 Jan 2019
Constant Time Graph Neural Networks
Constant Time Graph Neural Networks
Ryoma Sato
M. Yamada
H. Kashima
GNN
184
10
0
23 Jan 2019
Multiple Graph Adversarial Learning
Multiple Graph Adversarial Learning
Bo Jiang
Ziyan Zhang
Jin Tang
Bin Luo
136
1
0
22 Jan 2019
Learning Graph Pooling and Hybrid Convolutional Operations for Text
  Representations
Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations
Hongyang Gao
Yongjun Chen
Shuiwang Ji
GNN
145
44
0
21 Jan 2019
Human-centric Transfer Learning Explanation via Knowledge Graph
  [Extended Abstract]
Human-centric Transfer Learning Explanation via Knowledge Graph [Extended Abstract]
Yuxia Geng
Jiaoyan Chen
Ernesto Jiménez-Ruiz
Huajun Chen
62
14
0
20 Jan 2019
TactileGCN: A Graph Convolutional Network for Predicting Grasp Stability
  with Tactile Sensors
TactileGCN: A Graph Convolutional Network for Predicting Grasp Stability with Tactile Sensors
Alberto Garcia-Garcia
Brayan S. Zapata-Impata
Sergio Orts
P. Gil
Jose Garcia-Rodriguez
134
62
0
18 Jan 2019
Search Efficient Binary Network Embedding
Search Efficient Binary Network Embedding
Daokun Zhang
Jie Yin
Xingquan Zhu
Chengqi Zhang
108
4
0
14 Jan 2019
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
Renjie Liao
Zhizhen Zhao
R. Urtasun
R. Zemel
GNN
331
238
0
06 Jan 2019
Graph Neural Networks with convolutional ARMA filters
Graph Neural Networks with convolutional ARMA filters
F. Bianchi
Daniele Grattarola
L. Livi
Cesare Alippi
GNN
745
456
0
05 Jan 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaMLGNNAI4TSAI4CE
1.6K
10,242
0
03 Jan 2019
A General Deep Learning Framework for Network Reconstruction and
  Dynamics Learning
A General Deep Learning Framework for Network Reconstruction and Dynamics Learning
Zhang Zhang
Yi Zhao
Jing Liu
Shuo Wang
Ruyi Tao
Ruyue Xin
Jiang Zhang
AI4CE
195
60
0
30 Dec 2018
Adversarial Attack and Defense on Graph Data: A Survey
Adversarial Attack and Defense on Graph Data: A Survey
Lichao Sun
Yingtong Dou
Carl Yang
Ji Wang
Yixin Liu
Philip S. Yu
Lifang He
Yangqiu Song
GNNAAML
407
349
0
26 Dec 2018
Invariant and Equivariant Graph Networks
Invariant and Equivariant Graph Networks
Haggai Maron
Heli Ben-Hamu
Nadav Shamir
Y. Lipman
405
542
0
24 Dec 2018
Dynamic Graph Representation Learning via Self-Attention Networks
Dynamic Graph Representation Learning via Self-Attention Networks
Aravind Sankar
Yanhong Wu
Liang Gou
Wei Zhang
Hao Yang
GNN
226
140
0
22 Dec 2018
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CEGNN
2.2K
6,422
0
20 Dec 2018
Modular meta-learning in abstract graph networks for combinatorial
  generalization
Modular meta-learning in abstract graph networks for combinatorial generalization
Ferran Alet
Maria Bauzá
Alberto Rodriguez
Tomas Lozano-Perez
L. Kaelbling
GNN
160
3
0
19 Dec 2018
Neighbourhood Watch: Referring Expression Comprehension via
  Language-guided Graph Attention Networks
Neighbourhood Watch: Referring Expression Comprehension via Language-guided Graph Attention Networks
Peng Wang
Qi Wu
Jiewei Cao
Chunhua Shen
Lianli Gao
Anton Van Den Hengel
ObjD
285
269
0
12 Dec 2018
Deep Learning on Graphs: A Survey
Deep Learning on Graphs: A Survey
Ziwei Zhang
Peng Cui
Wenwu Zhu
GNN
493
1,497
0
11 Dec 2018
Playing Text-Adventure Games with Graph-Based Deep Reinforcement
  Learning
Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning
Prithviraj Ammanabrolu
Mark O. Riedl
GNN
256
129
0
04 Dec 2018
Interpretable Graph Convolutional Neural Networks for Inference on Noisy
  Knowledge Graphs
Interpretable Graph Convolutional Neural Networks for Inference on Noisy Knowledge Graphs
Daniel Neil
Joss Briody
A. Lacoste
Aaron Sim
Páidí Creed
Amir Saffari
GNN
347
39
0
01 Dec 2018
Graph Node-Feature Convolution for Representation Learning
Graph Node-Feature Convolution for Representation Learning
Li Zhang
Heda Song
Nikolaos Aletras
Haiping Lu
GNNSSL
96
14
0
30 Nov 2018
Attributed Network Embedding for Incomplete Attributed Networks
Attributed Network Embedding for Incomplete Attributed Networks
Chengbin Hou
Shan He
Ke Tang
72
1
0
28 Nov 2018
Bayesian graph convolutional neural networks for semi-supervised
  classification
Bayesian graph convolutional neural networks for semi-supervised classification
Yingxue Zhang
Soumyasundar Pal
Mark Coates
Deniz Üstebay
GNNBDL
202
247
0
27 Nov 2018
Attentive Relational Networks for Mapping Images to Scene Graphs
Attentive Relational Networks for Mapping Images to Scene Graphs
Mengshi Qi
Weijian Li
Zhengyuan Yang
Yunhong Wang
Jiebo Luo
3DPC3DHGNN
246
183
0
26 Nov 2018
Graph Learning-Convolutional Networks
Graph Learning-Convolutional Networks
Bo Jiang
Ziyan Zhang
Doudou Lin
Jin Tang
GNNSSL
131
7
0
25 Nov 2018
Spectral Multigraph Networks for Discovering and Fusing Relationships in
  Molecules
Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules
Boris Knyazev
Xiao Lin
Mohamed R. Amer
Graham W. Taylor
GNN
139
31
0
23 Nov 2018
On Filter Size in Graph Convolutional Networks
On Filter Size in Graph Convolutional NetworksIEEE Symposium Series on Computational Intelligence (SSCI), 2018
D. V. Tran
Nicoló Navarin
A. Sperduti
GNN
149
51
0
23 Nov 2018
Contextualized Non-local Neural Networks for Sequence Learning
Contextualized Non-local Neural Networks for Sequence LearningAAAI Conference on Artificial Intelligence (AAAI), 2018
Pengfei Liu
Shuaichen Chang
Xuanjing Huang
Jian Tang
Jackie C.K. Cheung
143
47
0
21 Nov 2018
Role action embeddings: scalable representation of network positions
Role action embeddings: scalable representation of network positions
George Berry
GNN
98
2
0
19 Nov 2018
Uncertainty quantification of molecular property prediction using
  Bayesian neural network models
Uncertainty quantification of molecular property prediction using Bayesian neural network models
Seongok Ryu
Yongchan Kwon
W. Kim
BDL
135
2
0
19 Nov 2018
Hierarchical Bipartite Graph Convolution Networks
Hierarchical Bipartite Graph Convolution Networks
Marcel Nassar
GNN
72
18
0
17 Nov 2018
Machine Learning for Combinatorial Optimization: a Methodological Tour
  d'Horizon
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon
Yoshua Bengio
Andrea Lodi
Antoine Prouvost
491
1,605
0
15 Nov 2018
Pitfalls of Graph Neural Network Evaluation
Pitfalls of Graph Neural Network Evaluation
Oleksandr Shchur
Maximilian Mumme
Aleksandar Bojchevski
Stephan Günnemann
GNN
432
1,604
0
14 Nov 2018
Graph Convolutional Neural Networks via Motif-based Attention
Graph Convolutional Neural Networks via Motif-based Attention
Hao Peng
Jianxin Li
Qiran Gong
Lihong Wang
Yuanxing Ning
Philip S. Yu
GNN
145
12
0
11 Nov 2018
Image-Level Attentional Context Modeling Using Nested-Graph Neural
  Networks
Image-Level Attentional Context Modeling Using Nested-Graph Neural Networks
Guillaume Jaume
Behzad Bozorgtabar
H. K. Ekenel
Jean-Philippe Thiran
M. Gabrani
154
2
0
09 Nov 2018
A simple yet effective baseline for non-attributed graph classification
A simple yet effective baseline for non-attributed graph classification
Chen Cai
Yusu Wang
254
35
0
08 Nov 2018
Janossy Pooling: Learning Deep Permutation-Invariant Functions for
  Variable-Size Inputs
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs
R. Murphy
Ninad Kulkarni
Vinayak A. Rao
Yun Liang
364
202
0
05 Nov 2018
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge
  Graph Embedding
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding
Peifeng Wang
Jialong Han
Chenliang Li
Rong Pan
NAIGNN
171
174
0
04 Nov 2018
Towards Sparse Hierarchical Graph Classifiers
Towards Sparse Hierarchical Graph Classifiers
Cătălina Cangea
Petar Velickovic
Nikola Jovanović
Thomas Kipf
Pietro Lio
GNN
309
283
0
03 Nov 2018
Similarity Learning with Higher-Order Graph Convolutions for Brain
  Network Analysis
Similarity Learning with Higher-Order Graph Convolutions for Brain Network Analysis
Guixiang Ma
Nesreen Ahmed
Theodore L. Willke
D. Sengupta
Michael W. Cole
Nicholas B. Turk-Browne
Pratik Shah
MedIm
152
8
0
02 Nov 2018
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
327
36
0
01 Nov 2018
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