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Graph Attention Networks
v1v2v3 (latest)

Graph Attention Networks

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 / 6,893 papers shown
Title
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
163
200
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
86
157
0
05 Jun 2019
Scalable Generative Models for Graphs with Graph Attention Mechanism
Scalable Generative Models for Graphs with Graph Attention Mechanism
Wataru Kawai
Yusuke Mukuta
Tatsuya Harada
GNN
49
17
0
05 Jun 2019
Self-Attentional Models for Lattice Inputs
Self-Attentional Models for Lattice Inputs
Matthias Sperber
Graham Neubig
Ngoc-Quan Pham
A. Waibel
81
44
0
04 Jun 2019
Task-Guided Pair Embedding in Heterogeneous Network
Task-Guided Pair Embedding in Heterogeneous Network
Chanyoung Park
Donghyun Kim
Qi Zhu
Jiawei Han
Hwanjo Yu
77
20
0
04 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
77
42
0
04 Jun 2019
An Efficient Graph Convolutional Network Technique for the Travelling
  Salesman Problem
An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem
Chaitanya K. Joshi
T. Laurent
Xavier Bresson
GNN
104
377
0
04 Jun 2019
Learning Attention-based Embeddings for Relation Prediction in Knowledge
  Graphs
Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
Deepak Nathani
Jatin Chauhan
Charu Sharma
Manohar Kaul
100
486
0
04 Jun 2019
Incorporating Biological Knowledge with Factor Graph Neural Network for
  Interpretable Deep Learning
Incorporating Biological Knowledge with Factor Graph Neural Network for Interpretable Deep Learning
Tianle Ma
A. Zhang
FaML
40
13
0
03 Jun 2019
Pre-training of Graph Augmented Transformers for Medication
  Recommendation
Pre-training of Graph Augmented Transformers for Medication Recommendation
Junyuan Shang
Tengfei Ma
Cao Xiao
Jimeng Sun
94
291
0
02 Jun 2019
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
Zonghan Wu
Shirui Pan
Guodong Long
Jing Jiang
Chengqi Zhang
GNNAI4TS
94
2,197
0
31 May 2019
Pre-Training Graph Neural Networks for Generic Structural Feature
  Extraction
Pre-Training Graph Neural Networks for Generic Structural Feature Extraction
Ziniu Hu
Changjun Fan
Ting-Li Chen
Kai-Wei Chang
Yizhou Sun
63
44
0
31 May 2019
Explainability Techniques for Graph Convolutional Networks
Explainability Techniques for Graph Convolutional Networks
Federico Baldassarre
Hossein Azizpour
GNNFAtt
178
272
0
31 May 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
142
276
0
30 May 2019
Graph Normalizing Flows
Graph Normalizing Flows
Jenny Liu
Aviral Kumar
Jimmy Ba
J. Kiros
Kevin Swersky
BDLGNNAI4CE
82
165
0
30 May 2019
Neural Consciousness Flow
Neural Consciousness Flow
Xiaoran Xu
Wei Feng
Zhiqing Sun
Zhihong Deng
GNNAI4CE
77
2
0
30 May 2019
Path-Augmented Graph Transformer Network
Path-Augmented Graph Transformer Network
Benson Chen
Regina Barzilay
Tommi Jaakkola
ViTGNN
67
59
0
29 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
116
283
0
29 May 2019
Strategies for Pre-training Graph Neural Networks
Strategies for Pre-training Graph Neural Networks
Weihua Hu
Bowen Liu
Joseph Gomes
Marinka Zitnik
Percy Liang
Vijay S. Pande
J. Leskovec
SSLAI4CE
130
1,419
0
29 May 2019
EEG-based Emotional Video Classification via Learning Connectivity
  Structure
EEG-based Emotional Video Classification via Learning Connectivity Structure
Soobeom Jang
Seong-Eun Moon
Jong-Seok Lee
29
16
0
28 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
87
82
0
28 May 2019
FAN: Focused Attention Networks
FAN: Focused Attention Networks
Chu Wang
Babak Samari
Vladimir G. Kim
S. Chaudhuri
Kaleem Siddiqi
28
1
0
27 May 2019
Representation Learning for Dynamic Graphs: A Survey
Representation Learning for Dynamic Graphs: A Survey
Seyed Mehran Kazemi
Rishab Goel
Kshitij Jain
I. Kobyzev
Akshay Sethi
Peter Forsyth
Pascal Poupart
AI4TSAI4CEGNN
105
464
0
27 May 2019
Incidence Networks for Geometric Deep Learning
Incidence Networks for Geometric Deep Learning
Marjan Albooyeh
Daniele Bertolini
Siamak Ravanbakhsh
GNN
80
26
0
27 May 2019
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale
  Ride-Hailing Platforms
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms
Jiarui Jin
M. Zhou
Weinan Zhang
Minne Li
Zilong Guo
...
Xiaocheng Tang
Chenxi Wang
Jun Wang
Guobin Wu
Jieping Ye
54
101
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
63
227
0
27 May 2019
Provably Powerful Graph Networks
Provably Powerful Graph Networks
Haggai Maron
Heli Ben-Hamu
Hadar Serviansky
Y. Lipman
145
583
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
79
118
0
27 May 2019
Edge Contraction Pooling for Graph Neural Networks
Edge Contraction Pooling for Graph Neural Networks
Frederik Diehl
GNN
165
131
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
86
68
0
26 May 2019
A Flexible Generative Framework for Graph-based Semi-supervised Learning
A Flexible Generative Framework for Graph-based Semi-supervised Learning
Jiaqi Ma
Weijing Tang
Ji Zhu
Qiaozhu Mei
BDL
62
63
0
26 May 2019
Graph Attention Auto-Encoders
Graph Attention Auto-Encoders
Amin Salehi
H. Davulcu
GNN
72
122
0
26 May 2019
Demand Forecasting from Spatiotemporal Data with Graph Networks and
  Temporal-Guided Embedding
Demand Forecasting from Spatiotemporal Data with Graph Networks and Temporal-Guided Embedding
Doyup Lee
Suehun Jung
Yeongjae Cheon
Dongil Kim
Seungil You
AI4TS
51
6
0
26 May 2019
Beyond Visual Semantics: Exploring the Role of Scene Text in Image
  Understanding
Beyond Visual Semantics: Exploring the Role of Scene Text in Image Understanding
Arka Ujjal Dey
Suman K. Ghosh
Ernest Valveny
Gaurav Harit
51
23
0
25 May 2019
Learning to Identify High Betweenness Centrality Nodes from Scratch: A
  Novel Graph Neural Network Approach
Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach
Changjun Fan
Li Zeng
Yuhui Ding
Muhao Chen
Yizhou Sun
Zhong Liu
GNN
77
68
0
24 May 2019
Approximation Ratios of Graph Neural Networks for Combinatorial Problems
Approximation Ratios of Graph Neural Networks for Combinatorial Problems
Ryoma Sato
M. Yamada
H. Kashima
GNN
121
128
0
24 May 2019
Learning Cross-Domain Representation with Multi-Graph Neural Network
Learning Cross-Domain Representation with Multi-Graph Neural Network
Ouyang Yi
Bin Guo
Xing Tang
Xiuqiang He
Jian Xiong
Zhiwen Yu
AI4CE
63
18
0
24 May 2019
CDSA: Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time
  Series Imputation
CDSA: Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series Imputation
Jiawei Ma
Zheng Shou
Alireza Zareian
Hassan Mansour
A. Vetro
Shih-Fu Chang
AI4TS
80
63
0
23 May 2019
MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting
  Structured Entity Interactions
MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions
Nuo Xu
Peijie Wang
Long Chen
Jing Tao
Junzhou Zhao
GNN
90
94
0
23 May 2019
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters
Hoang NT
Takanori Maehara
GNN
139
434
0
23 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
36
87
0
21 May 2019
Mutual Information Maximization in Graph Neural Networks
Mutual Information Maximization in Graph Neural Networks
Xinhan Di
Pengqian Yu
Rui Bu
Mingchao Sun
73
21
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
158
1,289
0
20 May 2019
PaperRobot: Incremental Draft Generation of Scientific Ideas
PaperRobot: Incremental Draft Generation of Scientific Ideas
Qingyun Wang
Lifu Huang
Zhiying Jiang
Kevin Knight
Heng Ji
Joey Tianyi Zhou
Yi Luan
100
60
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
90
1,838
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
41
53
0
19 May 2019
Multi-hop Reading Comprehension across Multiple Documents by Reasoning
  over Heterogeneous Graphs
Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs
Ming Tu
Guangtao Wang
Jing-ling Huang
Yun Tang
Xiaodong He
Bowen Zhou
72
149
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
90
114
0
17 May 2019
Dynamically Fused Graph Network for Multi-hop Reasoning
Dynamically Fused Graph Network for Multi-hop Reasoning
Yunxuan Xiao
Yanru Qu
Lin Qiu
Hao Zhou
Lei Li
Weinan Zhang
Yong Yu
98
191
0
16 May 2019
Function Space Pooling For Graph Convolutional Networks
Function Space Pooling For Graph Convolutional Networks
P. Corcoran
GNN
177
3
0
15 May 2019
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