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
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 / 6,899 papers shown
Title
Learn to Design the Heuristics for Vehicle Routing Problem
Learn to Design the Heuristics for Vehicle Routing Problem
Lei Gao
Mingxiang Chen
Qichang Chen
Ganzhong Luo
Nuoyi Zhu
Zhixin Liu
58
52
0
20 Feb 2020
Residual Correlation in Graph Neural Network Regression
Residual Correlation in Graph Neural Network Regression
Junteng Jia
Austin R. Benson
127
25
0
19 Feb 2020
Molecule Attention Transformer
Molecule Attention Transformer
Lukasz Maziarka
Tomasz Danel
Slawomir Mucha
Krzysztof Rataj
Jacek Tabor
Stanislaw Jastrzebski
107
170
0
19 Feb 2020
Inductive Representation Learning on Temporal Graphs
Inductive Representation Learning on Temporal Graphs
Da Xu
Chuanwei Ruan
Evren Körpeoglu
Sushant Kumar
Kannan Achan
AI4CE
109
638
0
19 Feb 2020
Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs
Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs
Han Yang
Xiao Yan
XINYAN DAI
Yongqiang Chen
James Cheng
127
36
0
18 Feb 2020
Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN
Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN
Hang Xu
Linpu Fang
Xiaodan Liang
Wenxiong Kang
Zhenguo Li
ObjD
63
23
0
18 Feb 2020
Deep Fourier Kernel for Self-Attentive Point Processes
Deep Fourier Kernel for Self-Attentive Point Processes
Shixiang Zhu
Minghe Zhang
Ruyi Ding
Yao Xie
3DPC
41
3
0
17 Feb 2020
Ripple Walk Training: A Subgraph-based training framework for Large and
  Deep Graph Neural Network
Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network
Jiyang Bai
Yuxiang Ren
Jiawei Zhang
GNN
94
32
0
17 Feb 2020
Unifying Graph Convolutional Neural Networks and Label Propagation
Unifying Graph Convolutional Neural Networks and Label Propagation
Hongwei Wang
J. Leskovec
GNN
101
171
0
17 Feb 2020
Generalized Embedding Machines for Recommender Systems
Generalized Embedding Machines for Recommender Systems
Enneng Yang
Xin Xin
Li Shen
G. Guo
53
2
0
16 Feb 2020
Multi-Scale Representation Learning for Spatial Feature Distributions
  using Grid Cells
Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells
Gengchen Mai
K. Janowicz
Bo Yan
Rui Zhu
Ling Cai
Ni Lao
SSL
148
124
0
16 Feb 2020
Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein
  Graph Double-Attention Network
Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein Graph Double-Attention Network
Jiachen Li
Hengbo Ma
Zhihao Zhang
Masayoshi Tomizuka
91
54
0
14 Feb 2020
Generalization and Representational Limits of Graph Neural Networks
Generalization and Representational Limits of Graph Neural Networks
Vikas Garg
Stefanie Jegelka
Tommi Jaakkola
GNN
108
314
0
14 Feb 2020
Graph Deconvolutional Generation
Graph Deconvolutional Generation
Daniel Flam-Shepherd
Tony C Wu
Alán Aspuru-Guzik
BDL
152
31
0
14 Feb 2020
MODRL/D-AM: Multiobjective Deep Reinforcement Learning Algorithm Using
  Decomposition and Attention Model for Multiobjective Optimization
MODRL/D-AM: Multiobjective Deep Reinforcement Learning Algorithm Using Decomposition and Attention Model for Multiobjective Optimization
Hong Wu
Jiahai Wang
Zizhen Zhang
55
23
0
13 Feb 2020
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
346
1,131
0
13 Feb 2020
Deep Multi-Task Augmented Feature Learning via Hierarchical Graph Neural
  Network
Deep Multi-Task Augmented Feature Learning via Hierarchical Graph Neural Network
Pengxin Guo
Chang Deng
Linjie Xu
Xiaonan Huang
Yu Zhang
58
8
0
12 Feb 2020
Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph
  Learning Models
Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models
Xiao Zang
Yi Xie
Jie Chen
Bo Yuan
AAML
76
48
0
12 Feb 2020
Adversarial Robustness for Code
Adversarial Robustness for Code
Pavol Bielik
Martin Vechev
AAML
66
88
0
11 Feb 2020
Differentiable Graph Module (DGM) for Graph Convolutional Networks
Differentiable Graph Module (DGM) for Graph Convolutional Networks
Anees Kazi
Luca Cosmo
Seyed-Ahmad Ahmadi
Nassir Navab
M. Bronstein
GNNMedIm
91
133
0
11 Feb 2020
Can Graph Neural Networks Count Substructures?
Can Graph Neural Networks Count Substructures?
Zhengdao Chen
Lei Chen
Soledad Villar
Joan Bruna
GNN
147
330
0
10 Feb 2020
AnomalyDAE: Dual autoencoder for anomaly detection on attributed
  networks
AnomalyDAE: Dual autoencoder for anomaly detection on attributed networks
Haoyi Fan
Fengbin Zhang
Zuoyong Li
110
160
0
10 Feb 2020
Bilinear Graph Neural Network with Neighbor Interactions
Bilinear Graph Neural Network with Neighbor Interactions
Hongmin Zhu
Fuli Feng
Xiangnan He
Xiang Wang
Yan Li
Kai Zheng
Yongdong Zhang
27
3
0
10 Feb 2020
Graph Neural Distance Metric Learning with Graph-Bert
Graph Neural Distance Metric Learning with Graph-Bert
Jiawei Zhang
20
6
0
09 Feb 2020
Line Hypergraph Convolution Network: Applying Graph Convolution for
  Hypergraphs
Line Hypergraph Convolution Network: Applying Graph Convolution for Hypergraphs
S. Bandyopadhyay
Kishalay Das
M. Murty
GNN
120
32
0
09 Feb 2020
Bin2vec: Learning Representations of Binary Executable Programs for
  Security Tasks
Bin2vec: Learning Representations of Binary Executable Programs for Security Tasks
Shushan Arakelyan
Sima Arasteh
Christophe Hauser
Erik Kline
Aram Galstyan
78
20
0
09 Feb 2020
Segmented Graph-Bert for Graph Instance Modeling
Segmented Graph-Bert for Graph Instance Modeling
Jiawei Zhang
SSeg
60
6
0
09 Feb 2020
A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model
  for Vehicle Routing Problems
A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model for Vehicle Routing Problems
Bo Peng
Jiahai Wang
Zizhen Zhang
61
76
0
09 Feb 2020
Hierarchical Generation of Molecular Graphs using Structural Motifs
Hierarchical Generation of Molecular Graphs using Structural Motifs
Wengong Jin
Regina Barzilay
Tommi Jaakkola
108
289
0
08 Feb 2020
Random Features Strengthen Graph Neural Networks
Random Features Strengthen Graph Neural Networks
Ryoma Sato
M. Yamada
H. Kashima
GNNAAML
81
240
0
08 Feb 2020
Attentive Group Equivariant Convolutional Networks
Attentive Group Equivariant Convolutional Networks
David W. Romero
Erik J. Bekkers
Jakub M. Tomczak
Mark Hoogendoorn
109
91
0
07 Feb 2020
LightGCN: Simplifying and Powering Graph Convolution Network for
  Recommendation
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
Xiangnan He
Kuan Deng
Xiang Wang
Yan Li
Yongdong Zhang
Meng Wang
GNN
211
3,722
0
06 Feb 2020
Supervised Learning on Relational Databases with Graph Neural Networks
Supervised Learning on Relational Databases with Graph Neural Networks
Milan Cvitkovic
73
44
0
06 Feb 2020
Fake News Detection on News-Oriented Heterogeneous Information Networks
  through Hierarchical Graph Attention
Fake News Detection on News-Oriented Heterogeneous Information Networks through Hierarchical Graph Attention
Yuxiang Ren
Jiawei Zhang
GNN
72
19
0
05 Feb 2020
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph
  Embedding
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding
Xinyu Fu
Jiani Zhang
Ziqiao Meng
Irwin King
129
887
0
05 Feb 2020
Graph Representation Learning via Graphical Mutual Information
  Maximization
Graph Representation Learning via Graphical Mutual Information Maximization
Zhen Peng
Wenbing Huang
Minnan Luo
Q. Zheng
Yu Rong
Tingyang Xu
Junzhou Huang
SSL
146
583
0
04 Feb 2020
Gated Graph Recurrent Neural Networks
Gated Graph Recurrent Neural Networks
Luana Ruiz
Fernando Gama
Alejandro Ribeiro
GNN
116
146
0
03 Feb 2020
A Novel Graph based Trajectory Predictor with Pseudo Oracle
A Novel Graph based Trajectory Predictor with Pseudo Oracle
Biao Yang
Guocheng Yan
Pin Wang
Ching-yao Chan
Xiaofeng Liu
Yang Chen
80
45
0
02 Feb 2020
Graph Convolution Machine for Context-aware Recommender System
Graph Convolution Machine for Context-aware Recommender System
Jiancan Wu
Xiangnan He
Xiang Wang
Qifan Wang
Weijia Chen
Jianxun Lian
Xing Xie
GNN
70
71
0
30 Jan 2020
Structure-Feature based Graph Self-adaptive Pooling
Structure-Feature based Graph Self-adaptive Pooling
Liang Zhang
Xudong Wang
Hongsheng Li
Guangming Zhu
Peiyi Shen
P. Li
Xiaoyuan Lu
Syed Afaq Ali Shah
Bennamoun
63
64
0
30 Jan 2020
Which way? Direction-Aware Attributed Graph Embedding
Which way? Direction-Aware Attributed Graph Embedding
Zekarias T. Kefato
Nasrullah Sheikh
A. Montresor
3DV
18
3
0
30 Jan 2020
MEMO: A Deep Network for Flexible Combination of Episodic Memories
MEMO: A Deep Network for Flexible Combination of Episodic Memories
Andrea Banino
Adria Puigdomenech Badia
Raphael Köster
Martin Chadwick
V. Zambaldi
Demis Hassabis
Caswell Barry
M. Botvinick
D. Kumaran
Charles Blundell
KELM
84
35
0
29 Jan 2020
Graph Neighborhood Attentive Pooling
Graph Neighborhood Attentive Pooling
Zekarias T. Kefato
Sarunas Girdzijauskas
GNN
46
6
0
28 Jan 2020
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph
  Convolutional Network Approach
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
Lei Chen
Le Wu
Richang Hong
Kun Zhang
Meng Wang
GNN
96
504
0
28 Jan 2020
Efficient and Stable Graph Scattering Transforms via Pruning
Efficient and Stable Graph Scattering Transforms via Pruning
V. Ioannidis
Siheng Chen
G. Giannakis
71
11
0
27 Jan 2020
Deep Graph Matching Consensus
Deep Graph Matching Consensus
Matthias Fey
J. E. Lenssen
Christopher Morris
Jonathan Masci
Nils M. Kriege
78
212
0
27 Jan 2020
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced
  Graph Neural Network
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network
Jiaming Shen
Zhihong Shen
Chenyan Xiong
Chi Wang
Kuansan Wang
Jiawei Han
83
78
0
26 Jan 2020
Graph Constrained Reinforcement Learning for Natural Language Action
  Spaces
Graph Constrained Reinforcement Learning for Natural Language Action Spaces
Prithviraj Ammanabrolu
Matthew J. Hausknecht
AI4CELLMAG
89
129
0
23 Jan 2020
Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment
Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment
Kun Xu
Linfeng Song
Yansong Feng
Yan Song
Dong Yu
74
56
0
23 Jan 2020
EdgeNets:Edge Varying Graph Neural Networks
EdgeNets:Edge Varying Graph Neural Networks
Elvin Isufi
Fernando Gama
Alejandro Ribeiro
GNN
97
82
0
21 Jan 2020
Previous
123...127128129...136137138
Next