ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1710.10903
  4. Cited By
Graph Attention Networks

Graph Attention Networks

30 October 2017
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lió
Yoshua Bengio
    GNN
ArXivPDFHTML

Papers citing "Graph Attention Networks"

50 / 2,674 papers shown
Title
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
25
16
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
19
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
21
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
34
63
0
18 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
32
5
0
15 Oct 2019
DeepGCNs: Making GCNs Go as Deep as CNNs
DeepGCNs: Making GCNs Go as Deep as CNNs
Bernard Ghanem
Matthias Muller
Guocheng Qian
Itzel C. Delgadillo
Abdulellah Abualshour
Ali K. Thabet
Guohao Li
3DPC
GNN
37
168
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
14
213
0
12 Oct 2019
Link Prediction via Graph Attention Network
Link Prediction via Graph Attention Network
Weiwei Gu
Fei Gao
Xiaodan Lou
Jiang Zhang
GNN
HAI
17
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 V. Chawla
Z. Li
45
162
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
18
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
31
23
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
26
262
0
06 Oct 2019
Graph Analysis and Graph Pooling in the Spatial Domain
Graph Analysis and Graph Pooling in the Spatial Domain
M. Rahmani
M. Liakata
GNN
31
3
0
03 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
13
253
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 (Vivian) Chen
Hung-yi Lee
21
71
0
01 Oct 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
14
13
0
28 Sep 2019
Multi-scale Attributed Node Embedding
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
148
837
0
28 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
22
115
0
27 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
21
145
0
26 Sep 2019
Universal Graph Transformer Self-Attention Networks
Universal Graph Transformer Self-Attention Networks
D. Q. Nguyen
T. Nguyen
Dinh Q. Phung
ViT
31
63
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
33
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
24
107
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
GNN
DiffM
16
15
0
24 Sep 2019
Layerwise Relevance Visualization in Convolutional Text Graph
  Classifiers
Layerwise Relevance Visualization in Convolutional Text Graph Classifiers
Robert Schwarzenberg
Marc Hübner
David Harbecke
Christoph Alt
Leonhard Hennig
FAtt
GNN
10
69
0
24 Sep 2019
Knowledge-Enriched Transformer for Emotion Detection in Textual
  Conversations
Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations
Peixiang Zhong
Di Wang
C. Miao
24
269
0
24 Sep 2019
Hierarchical Point-Edge Interaction Network for Point Cloud Semantic
  Segmentation
Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation
Li Jiang
Hengshuang Zhao
Shu-Lin Liu
Xiaoyong Shen
Chi-Wing Fu
Jiaya Jia
3DPC
20
193
0
23 Sep 2019
Robot Navigation in Crowds by Graph Convolutional Networks with
  Attention Learned from Human Gaze
Robot Navigation in Crowds by Graph Convolutional Networks with Attention Learned from Human Gaze
Y. Chen
Congcong Liu
Ming-Yu Liu
Bertram E. Shi
GNN
HAI
19
117
0
23 Sep 2019
GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended
  Animation
GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation
Jiawei Zhang
Lin Meng
16
52
0
12 Sep 2019
Spatial Graph Convolutional Networks
Spatial Graph Convolutional Networks
Tomasz Danel
P. Spurek
Jacek Tabor
Marek Śmieja
Lukasz Struski
Agnieszka Słowik
Lukasz Maziarka
GNN
32
10
0
11 Sep 2019
Learning to Propagate for Graph Meta-Learning
Learning to Propagate for Graph Meta-Learning
Lu Liu
Dinesh Manocha
Guodong Long
Jing Jiang
Chengqi Zhang
26
96
0
11 Sep 2019
Jointly embedding the local and global relations of heterogeneous graph
  for rumor detection
Jointly embedding the local and global relations of heterogeneous graph for rumor detection
Chunyuan Yuan
Qianwen Ma
Wei Zhou
Jizhong Han
Songlin Hu
174
141
0
10 Sep 2019
Temporal Network Embedding with Micro- and Macro-dynamics
Temporal Network Embedding with Micro- and Macro-dynamics
Yuanfu Lu
Tianlin Li
C. Shi
Philip S. Yu
Yanfang Ye
AI4TS
AI4CE
13
117
0
10 Sep 2019
Devign: Effective Vulnerability Identification by Learning Comprehensive
  Program Semantics via Graph Neural Networks
Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks
Yaqin Zhou
Shangqing Liu
J. Siow
Xiaoning Du
Yang Liu
GNN
11
742
0
08 Sep 2019
Measuring and Relieving the Over-smoothing Problem for Graph Neural
  Networks from the Topological View
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View
Deli Chen
Yankai Lin
Wei Li
Peng Li
Jie Zhou
Xu Sun
30
1,078
0
07 Sep 2019
Auto-GNN: Neural Architecture Search of Graph Neural Networks
Auto-GNN: Neural Architecture Search of Graph Neural Networks
Kaixiong Zhou
Qingquan Song
Xiao Huang
Xia Hu
GNN
61
178
0
07 Sep 2019
NEAR: Neighborhood Edge AggregatoR for Graph Classification
NEAR: Neighborhood Edge AggregatoR for Graph Classification
Cheolhyeong Kim
Haeseong Moon
H. Hwang
GNN
17
5
0
06 Sep 2019
Adaptive Graph Representation Learning for Video Person
  Re-identification
Adaptive Graph Representation Learning for Video Person Re-identification
Yiming Wu
Omar Elfarouk Bourahla
Xi Li
Fei Wu
Q. Tian
Xue Zhou
34
117
0
05 Sep 2019
Graph Transfer Learning via Adversarial Domain Adaptation with Graph
  Convolution
Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution
Quanyu Dai
Xiao-Ming Wu
Jiaren Xiao
Xiao Shen
Dan Wang
OOD
26
84
0
04 Sep 2019
Temporal Reasoning Graph for Activity Recognition
Temporal Reasoning Graph for Activity Recognition
Jingran Zhang
Fumin Shen
Xing Xu
Heng Tao Shen
39
60
0
27 Aug 2019
On Proximity and Structural Role-based Embeddings in Networks:
  Misconceptions, Techniques, and Applications
On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications
Ryan A. Rossi
Di Jin
Sungchul Kim
Nesreen Ahmed
Danai Koutra
J. B. Lee
27
38
0
22 Aug 2019
Neural Dynamics on Complex Networks
Neural Dynamics on Complex Networks
Chengxi Zang
Fei-Yue Wang
AI4CE
32
68
0
18 Aug 2019
Message Passing Attention Networks for Document Understanding
Message Passing Attention Networks for Document Understanding
Giannis Nikolentzos
A. Tixier
Michalis Vazirgiannis
GNN
30
67
0
17 Aug 2019
Densely Connected Graph Convolutional Networks for Graph-to-Sequence
  Learning
Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning
Zhijiang Guo
Yan Zhang
Zhiyang Teng
Wei Lu
GNN
24
130
0
16 Aug 2019
SG-Net: Syntax-Guided Machine Reading Comprehension
SG-Net: Syntax-Guided Machine Reading Comprehension
Zhuosheng Zhang
Yuwei Wu
Junru Zhou
Sufeng Duan
Hai Zhao
Rui Wang
25
187
0
14 Aug 2019
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
Ke Sun
Zhanxing Zhu
Zhouchen Lin
GNN
33
80
0
14 Aug 2019
Reinforcement Learning Based Graph-to-Sequence Model for Natural
  Question Generation
Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation
Yu Chen
Lingfei Wu
Mohammed J. Zaki
GNN
17
153
0
14 Aug 2019
Complicated Table Structure Recognition
Complicated Table Structure Recognition
Zewen Chi
Heyan Huang
Heng-Da Xu
Houjin Yu
Wanxuan Yin
Xian-Ling Mao
LMTD
12
107
0
13 Aug 2019
HATS: A Hierarchical Graph Attention Network for Stock Movement
  Prediction
HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction
Raehyun Kim
Chan Ho So
Minbyul Jeong
Sanghoon Lee
Jinkyu Kim
Jaewoo Kang
AIFin
21
126
0
07 Aug 2019
StructureNet: Hierarchical Graph Networks for 3D Shape Generation
StructureNet: Hierarchical Graph Networks for 3D Shape Generation
Kaichun Mo
Paul Guerrero
L. Yi
Hao Su
Peter Wonka
Niloy Mitra
Leonidas J. Guibas
3DPC
30
133
0
01 Aug 2019
Expressive Graph Informer Networks
Expressive Graph Informer Networks
Jaak Simm
Adam Arany
E. Brouwer
Yves Moreau
GNN
25
2
0
25 Jul 2019
Previous
123...5051525354
Next