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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"

50 / 2,674 papers shown
Title
Graph Neural Lasso for Dynamic Network Regression
Graph Neural Lasso for Dynamic Network Regression
Yixin Chen
Lin Meng
Jiawei Zhang
AI4TS
20
5
0
25 Jul 2019
GEAR: Graph-based Evidence Aggregating and Reasoning for Fact
  Verification
GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification
Jie Zhou
Xu Han
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
21
197
0
22 Jul 2019
Image Classification with Hierarchical Multigraph Networks
Image Classification with Hierarchical Multigraph Networks
Boris Knyazev
Xiaoyu Lin
Mohamed R. Amer
Graham W. Taylor
GNN
BDL
25
35
0
21 Jul 2019
Construct Dynamic Graphs for Hand Gesture Recognition via
  Spatial-Temporal Attention
Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention
Yuxiao Chen
Long Zhao
Xi Peng
Jianbo Yuan
Dimitris N. Metaxas
16
86
0
20 Jul 2019
PH-GCN: Person Re-identification with Part-based Hierarchical Graph
  Convolutional Network
PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network
Bo Jiang
Xixi Wang
B. Luo
14
19
0
20 Jul 2019
EEG-Based Emotion Recognition Using Regularized Graph Neural Networks
EEG-Based Emotion Recognition Using Regularized Graph Neural Networks
Peixiang Zhong
Di Wang
C. Miao
39
513
0
18 Jul 2019
k-hop Graph Neural Networks
k-hop Graph Neural Networks
Giannis Nikolentzos
George Dasoulas
Michalis Vazirgiannis
21
104
0
13 Jul 2019
Graph Neural Based End-to-end Data Association Framework for Online
  Multiple-Object Tracking
Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking
Xiaolong Jiang
Peizhao Li
Yanjing Li
Xiantong Zhen
VOT
29
32
0
11 Jul 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method
GraphSAINT: Graph Sampling Based Inductive Learning Method
Hanqing Zeng
Hongkuan Zhou
Ajitesh Srivastava
R. Kannan
Viktor Prasanna
GNN
78
951
0
10 Jul 2019
Graph Representation Learning via Hard and Channel-Wise Attention
  Networks
Graph Representation Learning via Hard and Channel-Wise Attention Networks
Hongyang Gao
Shuiwang Ji
GNN
19
57
0
05 Jul 2019
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and
  Graph Attention Networks
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks
V. Kosaraju
Amir Sadeghian
Roberto Martín-Martín
Ian Reid
S. Hamid Rezatofighi
Silvio Savarese
22
591
0
04 Jul 2019
GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation
GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation
Marc Brockschmidt
20
133
0
28 Jun 2019
Generalization to Novel Objects using Prior Relational Knowledge
Generalization to Novel Objects using Prior Relational Knowledge
V. Vijay
Abhinav Ganesh
Hanlin Tang
Arjun K. Bansal
GNN
19
6
0
26 Jun 2019
Signed Graph Attention Networks
Signed Graph Attention Networks
Junjie Huang
Huawei Shen
Liang Hou
Xueqi Cheng
GNN
19
117
0
26 Jun 2019
Accelerating Primal Solution Findings for Mixed Integer Programs Based
  on Solution Prediction
Accelerating Primal Solution Findings for Mixed Integer Programs Based on Solution Prediction
Jianpeng Ding
Chao Zhang
Lei Shen
Shengyin Li
Bing Wang
Yinghui Xu
Le Song
30
7
0
23 Jun 2019
Popularity Prediction on Social Platforms with Coupled Graph Neural
  Networks
Popularity Prediction on Social Platforms with Coupled Graph Neural Networks
Qi Cao
Huawei Shen
Jinhua Gao
Bingzheng Wei
Xueqi Cheng
GNN
14
130
0
21 Jun 2019
Graph Star Net for Generalized Multi-Task Learning
Graph Star Net for Generalized Multi-Task Learning
H. Lu
Seth H. Huang
Tian Ye
Xiuyan Guo
GNN
33
46
0
21 Jun 2019
Utilizing Edge Features in Graph Neural Networks via Variational
  Information Maximization
Utilizing Edge Features in Graph Neural Networks via Variational Information Maximization
Pengfei Chen
Weiwen Liu
Chang-Yu Hsieh
Guangyong Chen
Shengyu Zhang
17
21
0
13 Jun 2019
Learning the Graphical Structure of Electronic Health Records with Graph
  Convolutional Transformer
Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer
Edward Choi
Zhen Xu
Yujia Li
Michael W. Dusenberry
Gerardo Flores
Yuan Xue
Andrew M. Dai
MedIm
19
238
0
11 Jun 2019
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph
  Classification
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification
Jun Wu
Jingrui He
Jiejun Xu
GNN
22
195
0
05 Jun 2019
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional
  Networks
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
Sitao Luan
Mingde Zhao
Xiao-Wen Chang
Doina Precup
GNN
34
155
0
05 Jun 2019
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
P. Elinas
Edwin V. Bonilla
Louis C. Tiao
BDL
GNN
23
10
0
05 Jun 2019
Lattice-Based Transformer Encoder for Neural Machine Translation
Lattice-Based Transformer Encoder for Neural Machine Translation
Fengshun Xiao
Jiangtong Li
Zhao Hai
Rui Wang
Kehai Chen
23
42
0
04 Jun 2019
Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph
  Kernels
Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels
S. Du
Kangcheng Hou
Barnabás Póczós
Ruslan Salakhutdinov
Ruosong Wang
Keyulu Xu
17
268
0
30 May 2019
Graph Normalizing Flows
Graph Normalizing Flows
Jenny Liu
Aviral Kumar
Jimmy Ba
J. Kiros
Kevin Swersky
BDL
GNN
AI4CE
24
155
0
30 May 2019
Neural Consciousness Flow
Neural Consciousness Flow
Xiaoran Xu
Wei Feng
Zhiqing Sun
Zhihong Deng
GNN
AI4CE
27
2
0
30 May 2019
On the equivalence between graph isomorphism testing and function
  approximation with GNNs
On the equivalence between graph isomorphism testing and function approximation with GNNs
Zhengdao Chen
Soledad Villar
Lei Chen
Joan Bruna
20
275
0
29 May 2019
LatentGNN: Learning Efficient Non-local Relations for Visual Recognition
LatentGNN: Learning Efficient Non-local Relations for Visual Recognition
Songyang Zhang
Shipeng Yan
Xuming He
GNN
31
81
0
28 May 2019
Incidence Networks for Geometric Deep Learning
Incidence Networks for Geometric Deep Learning
Marjan Albooyeh
Daniele Bertolini
Siamak Ravanbakhsh
GNN
26
26
0
27 May 2019
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for
  Recommender Systems
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems
Jiani Zhang
Xingjian Shi
Shenglin Zhao
Irwin King
29
225
0
27 May 2019
Provably Powerful Graph Networks
Provably Powerful Graph Networks
Haggai Maron
Heli Ben-Hamu
Hadar Serviansky
Y. Lipman
25
563
0
27 May 2019
MCNE: An End-to-End Framework for Learning Multiple Conditional Network
  Representations of Social Network
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network
Hao Wang
Tong Xu
Qi Liu
Defu Lian
Enhong Chen
Dongfang Du
Han Wu
Wen Su
10
114
0
27 May 2019
Optimizing Generalized PageRank Methods for Seed-Expansion Community
  Detection
Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection
Pan Li
Eli Chien
O. Milenkovic
16
66
0
26 May 2019
GAPNet: Graph Attention based Point Neural Network for Exploiting Local
  Feature of Point Cloud
GAPNet: Graph Attention based Point Neural Network for Exploiting Local Feature of Point Cloud
Can Chen
L. Z. Fragonara
Antonios Tsourdos
3DPC
13
86
0
21 May 2019
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph
  Convolutional Networks
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks
Wei-Lin Chiang
Xuanqing Liu
Si Si
Yang Li
Samy Bengio
Cho-Jui Hsieh
GNN
37
1,254
0
20 May 2019
KGAT: Knowledge Graph Attention Network for Recommendation
KGAT: Knowledge Graph Attention Network for Recommendation
Xiang Wang
Xiangnan He
Yixin Cao
Meng Liu
Tat-Seng Chua
OffRL
23
1,787
0
20 May 2019
DivGraphPointer: A Graph Pointer Network for Extracting Diverse
  Keyphrases
DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases
Zhiqing Sun
Jian Tang
Pan Du
Zhihong Deng
Jian-Yun Nie
14
53
0
19 May 2019
Representation Learning on Visual-Symbolic Graphs for Video
  Understanding
Representation Learning on Visual-Symbolic Graphs for Video Understanding
E. Mavroudi
Benjamín Béjar Haro
René Vidal
27
8
0
17 May 2019
Improving Question Answering over Incomplete KBs with Knowledge-Aware
  Reader
Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader
Wenhan Xiong
Mo Yu
Shiyu Chang
Xiaoxiao Guo
William Yang Wang
RALM
26
114
0
17 May 2019
GMNN: Graph Markov Neural Networks
GMNN: Graph Markov Neural Networks
Meng Qu
Yoshua Bengio
Jian Tang
BDL
GNN
22
288
0
15 May 2019
CoLight: Learning Network-level Cooperation for Traffic Signal Control
CoLight: Learning Network-level Cooperation for Traffic Signal Control
Hua Wei
Nan Xu
Huichu Zhang
Guanjie Zheng
Xinshi Zang
Chacha Chen
Weinan Zhang
Yanmin Zhu
Kai Xu
Z. Li
30
353
0
11 May 2019
Graph U-Nets
Graph U-Nets
Hongyang Gao
Shuiwang Ji
AI4CE
SSL
SSeg
GNN
27
1,062
0
11 May 2019
Language-Conditioned Graph Networks for Relational Reasoning
Language-Conditioned Graph Networks for Relational Reasoning
Ronghang Hu
Anna Rohrbach
Trevor Darrell
Kate Saenko
31
171
0
10 May 2019
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot
  Learning on Category Graph
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph
Lu Liu
Dinesh Manocha
Guodong Long
Jing Jiang
Lina Yao
Chengqi Zhang
21
71
0
10 May 2019
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape
  Representation Learning and Generation
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation
Giorgos Bouritsas
Sergiy Bokhnyak
Stylianos Ploumpis
M. Bronstein
S. Zafeiriou
MedIm
3DH
26
161
0
08 May 2019
Drug-Drug Adverse Effect Prediction with Graph Co-Attention
Drug-Drug Adverse Effect Prediction with Graph Co-Attention
Andreea Deac
Yu-Hsiang Huang
Petar Velickovic
Pietro Lió
Jian Tang
20
77
0
02 May 2019
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified
  Neighborhood Mixing
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing
Sami Abu-El-Haija
Bryan Perozzi
Amol Kapoor
N. Alipourfard
Kristina Lerman
Hrayr Harutyunyan
Greg Ver Steeg
Aram Galstyan
GNN
19
882
0
30 Apr 2019
Very Deep Self-Attention Networks for End-to-End Speech Recognition
Very Deep Self-Attention Networks for End-to-End Speech Recognition
Ngoc-Quan Pham
T. Nguyen
J. Niehues
Markus Müller
Sebastian Stüker
A. Waibel
23
161
0
30 Apr 2019
Graph Convolutional Networks with EigenPooling
Graph Convolutional Networks with EigenPooling
Yao Ma
Suhang Wang
Charu C. Aggarwal
Jiliang Tang
GNN
37
331
0
30 Apr 2019
Graph Matching Networks for Learning the Similarity of Graph Structured
  Objects
Graph Matching Networks for Learning the Similarity of Graph Structured Objects
Yujia Li
Chenjie Gu
T. Dullien
Oriol Vinyals
Pushmeet Kohli
66
510
0
29 Apr 2019
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