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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
Addressing the Sim2Real Gap in Robotic 3D Object Classification
Addressing the Sim2Real Gap in Robotic 3D Object Classification
Jean-Baptiste Weibel
T. Patten
Markus Vincze
3DPC
51
14
0
28 Oct 2019
Pre-train and Learn: Preserve Global Information for Graph Neural
  Networks
Pre-train and Learn: Preserve Global Information for Graph Neural Networks
Danhao Zhu
Xinyu Dai
Jiajun Chen
77
25
0
27 Oct 2019
Do Sentence Interactions Matter? Leveraging Sentence Level
  Representations for Fake News Classification
Do Sentence Interactions Matter? Leveraging Sentence Level Representations for Fake News Classification
Vaibhav Vaibhav
Raghuram Mandyam Annasamy
Eduard H. Hovy
GNN
106
67
0
27 Oct 2019
Data Augmentation for Skin Lesion using Self-Attention based Progressive
  Generative Adversarial Network
Data Augmentation for Skin Lesion using Self-Attention based Progressive Generative Adversarial Network
Ibrahim Saad Ali
Mamdouh Farouk Mohamed
Y. B. Mahdy
GANMedIm
49
121
0
25 Oct 2019
Improving Graph Attention Networks with Large Margin-based Constraints
Improving Graph Attention Networks with Large Margin-based Constraints
Guangtao Wang
Rex Ying
Jing-ling Huang
J. Leskovec
61
81
0
25 Oct 2019
Hierarchical Representation Learning in Graph Neural Networks with Node
  Decimation Pooling
Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling
F. Bianchi
Daniele Grattarola
L. Livi
Cesare Alippi
184
49
0
24 Oct 2019
DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters
DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters
Asiri Wijesinghe
Qing Wang
GNN
78
28
0
24 Oct 2019
Feature Selection and Extraction for Graph Neural Networks
Feature Selection and Extraction for Graph Neural Networks
D. Acharya
Huaming Zhang
46
28
0
23 Oct 2019
Neural Execution of Graph Algorithms
Neural Execution of Graph Algorithms
Petar Velickovic
Rex Ying
Matilde Padovano
R. Hadsell
Charles Blundell
GNN
94
172
0
23 Oct 2019
Recurrent Attention Walk for Semi-supervised Classification
Recurrent Attention Walk for Semi-supervised Classification
Uchenna Akujuobi
Qiannan Zhang
Han Yufei
Xiangliang Zhang
GNN
68
8
0
22 Oct 2019
Fine-grained Fact Verification with Kernel Graph Attention Network
Fine-grained Fact Verification with Kernel Graph Attention Network
Zhenghao Liu
Chenyan Xiong
Maosong Sun
Zhiyuan Liu
103
225
0
22 Oct 2019
Collaborative Graph Walk for Semi-supervised Multi-Label Node
  Classification
Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification
Uchenna Akujuobi
Yufei Han
Qiannan Zhang
Xiangliang Zhang
55
17
0
22 Oct 2019
Edge Dithering for Robust Adaptive Graph Convolutional Networks
Edge Dithering for Robust Adaptive Graph Convolutional Networks
V. Ioannidis
G. Giannakis
AAML
50
8
0
21 Oct 2019
Personalized Graph Neural Networks with Attention Mechanism for
  Session-Aware Recommendation
Personalized Graph Neural Networks with Attention Mechanism for Session-Aware Recommendation
Mengqi Zhang
Shu Wu
Meng Gao
Xin Jiang
Ke Xu
Liang Wang
83
43
0
20 Oct 2019
Hierarchical Attentive Knowledge Graph Embedding for Personalized
  Recommendation
Hierarchical Attentive Knowledge Graph Embedding for Personalized Recommendation
Xiao Sha
Zhu Sun
Jie Zhang
141
65
0
18 Oct 2019
Relational Graph Representation Learning for Open-Domain Question
  Answering
Relational Graph Representation Learning for Open-Domain Question Answering
Sal Vivona
Kaveh Hassani
GNNNAI
67
10
0
18 Oct 2019
Active Learning for Graph Neural Networks via Node Feature Propagation
Active Learning for Graph Neural Networks via Node Feature Propagation
Yuexin Wu
Yichong Xu
Aarti Singh
Yiming Yang
A. Dubrawski
GNNAI4CE
101
65
0
16 Oct 2019
Deep Reinforcement Learning meets Graph Neural Networks: exploring a
  routing optimization use case
Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case
Paul Almasan
J. Suárez-Varela
Krzysztof Rusek
Pere Barlet-Ros
A. Cabellos-Aparicio
GNNAI4CE
123
191
0
16 Oct 2019
On Learning Paradigms for the Travelling Salesman Problem
On Learning Paradigms for the Travelling Salesman Problem
Chaitanya K. Joshi
T. Laurent
Xavier Bresson
145
33
0
16 Oct 2019
Human Action Recognition with Multi-Laplacian Graph Convolutional
  Networks
Human Action Recognition with Multi-Laplacian Graph Convolutional Networks
A. Mazari
H. Sahbi
GNN
41
5
0
15 Oct 2019
Quantifying Classification Uncertainty using Regularized Evidential
  Neural Networks
Quantifying Classification Uncertainty using Regularized Evidential Neural Networks
Xujiang Zhao
Yuzhe Ou
Lance M. Kaplan
Feng Chen
Jin-Hee Cho
EDLBDLUQCV
55
16
0
15 Oct 2019
DeepGCNs: Making GCNs Go as Deep as CNNs
DeepGCNs: Making GCNs Go as Deep as CNNs
Ge Li
Matthias Muller
Guocheng Qian
Itzel C. Delgadillo
Abdulellah Abualshour
Ali K. Thabet
Guohao Li
3DPCGNN
98
176
0
15 Oct 2019
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR
  Prediction
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction
Zekun Li
Zeyu Cui
Shu Wu
Xiaoyu Zhang
Liang Wang
GNN
82
221
0
12 Oct 2019
Link Prediction via Graph Attention Network
Link Prediction via Graph Attention Network
Weiwei Gu
Fei Gao
Xiaodan Lou
Jiang Zhang
GNNHAI
47
14
0
10 Oct 2019
Graph Few-shot Learning via Knowledge Transfer
Graph Few-shot Learning via Knowledge Transfer
Huaxiu Yao
Chuxu Zhang
Ying Wei
Meng Jiang
Suhang Wang
Junzhou Huang
Nitesh Chawla
Z. Li
126
168
0
07 Oct 2019
Commonsense Knowledge Base Completion with Structural and Semantic
  Context
Commonsense Knowledge Base Completion with Structural and Semantic Context
Chaitanya Malaviya
Chandra Bhagavatula
Antoine Bosselut
Yejin Choi
107
140
0
07 Oct 2019
Irregular Convolutional Auto-Encoder on Point Clouds
Irregular Convolutional Auto-Encoder on Point Clouds
Yuhui Zhang
G. Gutmann
Konagaya Akihiko
3DPC
35
2
0
07 Oct 2019
Representation Learning of EHR Data via Graph-Based Medical Entity
  Embedding
Representation Learning of EHR Data via Graph-Based Medical Entity Embedding
Tong Wu
Yunlong Wang
Yue Wang
E. Zhao
Yilian Yuan
Zhi Yang
AI4TS
84
15
0
07 Oct 2019
Rethinking Kernel Methods for Node Representation Learning on Graphs
Rethinking Kernel Methods for Node Representation Learning on Graphs
Yu Tian
Long Zhao
Xi Peng
Dimitris N. Metaxas
64
24
0
06 Oct 2019
Text Level Graph Neural Network for Text Classification
Text Level Graph Neural Network for Text Classification
Lianzhe Huang
Dehong Ma
Sujian Li
Xiaodong Zhang
Houfeng WANG
GNN
114
263
0
06 Oct 2019
Learning Robust Representations with Graph Denoising Policy Network
Learning Robust Representations with Graph Denoising Policy Network
Lu Wang
Wenchao Yu
Wei Wang
Wei Cheng
Wei Zhang
H. Zha
Xiaofeng He
Haifeng Chen
OOD
52
27
0
04 Oct 2019
Graph Analysis and Graph Pooling in the Spatial Domain
Graph Analysis and Graph Pooling in the Spatial Domain
M. Rahmani
Maria Liakata
GNN
54
3
0
03 Oct 2019
Efficient Graph Generation with Graph Recurrent Attention Networks
Efficient Graph Generation with Graph Recurrent Attention Networks
Renjie Liao
Yujia Li
Yang Song
Shenlong Wang
C. Nash
William L. Hamilton
David Duvenaud
R. Urtasun
R. Zemel
GNN
158
340
0
02 Oct 2019
Predicting materials properties without crystal structure: Deep
  representation learning from stoichiometry
Predicting materials properties without crystal structure: Deep representation learning from stoichiometry
Rhys E. A. Goodall
A. Lee
81
262
0
01 Oct 2019
DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic
  Knowledge Graphs
DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs
Yi-Lin Tuan
Yun-Nung Chen
Hung-yi Lee
80
73
0
01 Oct 2019
Contextual Graph Attention for Answering Logical Queries over Incomplete
  Knowledge Graphs
Contextual Graph Attention for Answering Logical Queries over Incomplete Knowledge Graphs
Gengchen Mai
K. Janowicz
Bo Yan
Rui Zhu
Ling Cai
Ni Lao
66
15
0
30 Sep 2019
Residual Attention Graph Convolutional Network for Geometric 3D Scene
  Classification
Residual Attention Graph Convolutional Network for Geometric 3D Scene Classification
Albert Mosella-Montoro
Javier Ruiz-Hidalgo
3DPC
128
8
0
30 Sep 2019
Policy Message Passing: A New Algorithm for Probabilistic Graph
  Inference
Policy Message Passing: A New Algorithm for Probabilistic Graph Inference
Zhiwei Deng
Greg Mori
49
0
0
29 Sep 2019
How to Evaluate Machine Learning Approaches for Combinatorial
  Optimization: Application to the Travelling Salesman Problem
How to Evaluate Machine Learning Approaches for Combinatorial Optimization: Application to the Travelling Salesman Problem
Antoine François
Quentin Cappart
Louis-Martin Rousseau
62
13
0
28 Sep 2019
Multi-scale Attributed Node Embedding
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
286
867
0
28 Sep 2019
Point Attention Network for Semantic Segmentation of 3D Point Clouds
Point Attention Network for Semantic Segmentation of 3D Point Clouds
Mingtao Feng
Liang Zhang
Xuefei Lin
Syed Zulqarnain Gilani
Ajmal Mian
3DPC
136
152
0
27 Sep 2019
Multi-Agent Actor-Critic with Hierarchical Graph Attention Network
Multi-Agent Actor-Critic with Hierarchical Graph Attention Network
Heechang Ryu
Hayong Shin
Jinkyoo Park
60
118
0
27 Sep 2019
PairNorm: Tackling Oversmoothing in GNNs
PairNorm: Tackling Oversmoothing in GNNs
Lingxiao Zhao
Leman Akoglu
85
512
0
26 Sep 2019
CoPhy: Counterfactual Learning of Physical Dynamics
CoPhy: Counterfactual Learning of Physical Dynamics
Fabien Baradel
Natalia Neverova
J. Mille
Greg Mori
Christian Wolf
CMLAI4CE
122
97
0
26 Sep 2019
Hyperspectral Image Classification With Context-Aware Dynamic Graph
  Convolutional Network
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network
Sheng Wan
Chen Gong
P. Zhong
Shirui Pan
Guangyu Li
Jian Yang
89
147
0
26 Sep 2019
Universal Graph Transformer Self-Attention Networks
Universal Graph Transformer Self-Attention Networks
Dai Quoc Nguyen
T. Nguyen
Dinh Q. Phung
ViT
108
67
0
26 Sep 2019
GraphMix: Improved Training of GNNs for Semi-Supervised Learning
GraphMix: Improved Training of GNNs for Semi-Supervised Learning
Vikas Verma
Meng Qu
Kenji Kawaguchi
Alex Lamb
Yoshua Bengio
Arno Solin
Jian Tang
84
62
0
25 Sep 2019
A Generative Model for Molecular Distance Geometry
A Generative Model for Molecular Distance Geometry
G. Simm
José Miguel Hernández-Lobato
GAN
108
108
0
25 Sep 2019
Dynamically Pruned Message Passing Networks for Large-Scale Knowledge
  Graph Reasoning
Dynamically Pruned Message Passing Networks for Large-Scale Knowledge Graph Reasoning
Xiaoran Xu
Wei Feng
Yunsheng Jiang
Xiaohui Xie
Zhiqing Sun
Zhihong Deng
LRM
90
53
0
25 Sep 2019
Semi-supervised classification on graphs using explicit diffusion
  dynamics
Semi-supervised classification on graphs using explicit diffusion dynamics
Robert L. Peach
Alexis Arnaudon
Mauricio Barahona
GNNDiffM
50
15
0
24 Sep 2019
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