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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 / 6,901 papers shown
Title
Will More Expressive Graph Neural Networks do Better on Generative
  Tasks?
Will More Expressive Graph Neural Networks do Better on Generative Tasks?
Xian-Quan Zou
Xiangyu Zhao
Pietro Lio
Yiren Zhao
43
3
0
23 Aug 2023
Multi-Instance Adversarial Attack on GNN-Based Malicious Domain
  Detection
Multi-Instance Adversarial Attack on GNN-Based Malicious Domain Detection
Mahmoud Nazzal
Issa M. Khalil
Abdallah Khreishah
Nhathai Phan
Yao Ma
AAML
86
2
0
22 Aug 2023
Class Label-aware Graph Anomaly Detection
Class Label-aware Graph Anomaly Detection
Junghoon Kim
Yeonjun In
Kanghoon Yoon
Junmo Lee
Chanyoung Park
50
10
0
22 Aug 2023
Enhancing Graph Transformers with Hierarchical Distance Structural
  Encoding
Enhancing Graph Transformers with Hierarchical Distance Structural Encoding
Yuan Luo
Hongkang Li
Lei Shi
Xiao-Ming Wu
78
8
0
22 Aug 2023
Topological Graph Signal Compression
Topological Graph Signal Compression
Guillermo Bernárdez
Lev Telyatnikov
Eduard Alarcón
A. Cabellos-Aparicio
Pere Barlet-Ros
Pietro Lio
AI4CE
62
0
0
21 Aug 2023
ST-RAP: A Spatio-Temporal Framework for Real Estate Appraisal
ST-RAP: A Spatio-Temporal Framework for Real Estate Appraisal
Hojoon Lee
Hawon Jeong
ByungKun Lee
Kyungyup Lee
Jaegul Choo
AI4TS
53
7
0
21 Aug 2023
Local Spherical Harmonics Improve Skeleton-Based Hand Action Recognition
Local Spherical Harmonics Improve Skeleton-Based Hand Action Recognition
Katharina Prasse
Steffen Jung
Yuxuan Zhou
Margret Keuper
64
1
0
21 Aug 2023
Label-based Graph Augmentation with Metapath for Graph Anomaly Detection
Label-based Graph Augmentation with Metapath for Graph Anomaly Detection
Hwan Kim
Junghoon Kim
Byung Suk Lee
Sungsu Lim
53
0
0
21 Aug 2023
Approximately Equivariant Graph Networks
Approximately Equivariant Graph Networks
Ningyuan Huang
Ron Levie
Soledad Villar
111
19
0
21 Aug 2023
Preserving Specificity in Federated Graph Learning for fMRI-based
  Neurological Disorder Identification
Preserving Specificity in Federated Graph Learning for fMRI-based Neurological Disorder Identification
Junhao Zhang
Qianqian Wang
Xiaochuan Wang
Lishan Qiao
Mingxia Liu
72
16
0
20 Aug 2023
Geometric instability of graph neural networks on large graphs
Geometric instability of graph neural networks on large graphs
Emily L Morris
Haotian Shen
Weiling Du
Muhammad Hamza Sajjad
Borun Shi
GNN
103
0
0
19 Aug 2023
GNNPipe: Scaling Deep GNN Training with Pipelined Model Parallelism
GNNPipe: Scaling Deep GNN Training with Pipelined Model Parallelism
Jingji Chen
Zhuoming Chen
Xuehai Qian
GNNAI4CE
89
3
0
19 Aug 2023
The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive
  field
The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field
Kun Wang
Guohao Li
Shilong Wang
Guibin Zhang
Kaidi Wang
Yang You
Xiaojiang Peng
Yuxuan Liang
Yang Wang
73
9
0
19 Aug 2023
Explicit Time Embedding Based Cascade Attention Network for Information
  Popularity Prediction
Explicit Time Embedding Based Cascade Attention Network for Information Popularity Prediction
Xigang Sun
Jingya Zhou
Ling Liu
Wenqi Wei
GNNAI4TS
85
22
0
19 Aug 2023
LEGO: Learning and Graph-Optimized Modular Tracker for Online
  Multi-Object Tracking with Point Clouds
LEGO: Learning and Graph-Optimized Modular Tracker for Online Multi-Object Tracking with Point Clouds
Zhenrong Zhang
Tao Huang
Yuxuan Xia
Wei Chen
Qinghua Han
Hongbin Liu
VOT3DPC
99
11
0
19 Aug 2023
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent
  Space Reconstruction
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction
Yucheng Shi
Yushun Dong
Qiaoyu Tan
Jundong Li
Ninghao Liu
140
27
0
18 Aug 2023
Transitivity-Preserving Graph Representation Learning for Bridging Local
  Connectivity and Role-based Similarity
Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based Similarity
Van Thuy Hoang
O-Joun Lee
65
12
0
18 Aug 2023
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer
Wendong Bi
Xueqi Cheng
Bingbing Xu
Xiaoqian Sun
Li Xu
Huawei Shen
80
10
0
18 Aug 2023
RBA-GCN: Relational Bilevel Aggregation Graph Convolutional Network for
  Emotion Recognition
RBA-GCN: Relational Bilevel Aggregation Graph Convolutional Network for Emotion Recognition
Lin Yuan
Guoheng Huang
Fenghuan Li
Xiaochen Yuan
Chi-Man Pun
Guo Zhong
45
14
0
18 Aug 2023
Vision Relation Transformer for Unbiased Scene Graph Generation
Vision Relation Transformer for Unbiased Scene Graph Generation
Gopika Sudhakaran
Devendra Singh Dhami
Kristian Kersting
Stefan Roth
ViT
117
18
0
18 Aug 2023
Open-vocabulary Video Question Answering: A New Benchmark for Evaluating
  the Generalizability of Video Question Answering Models
Open-vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models
Dohwan Ko
Ji Soo Lee
M. Choi
Jaewon Chu
Jihwan Park
Hyunwoo J. Kim
55
6
0
18 Aug 2023
FRGNN: Mitigating the Impact of Distribution Shift on Graph Neural
  Networks via Test-Time Feature Reconstruction
FRGNN: Mitigating the Impact of Distribution Shift on Graph Neural Networks via Test-Time Feature Reconstruction
Ruitian Ding
Jielong Yang
Feng Ji
Xionghu Zhong
Linbo Xie
117
1
0
18 Aug 2023
Half-Hop: A graph upsampling approach for slowing down message passing
Half-Hop: A graph upsampling approach for slowing down message passing
Mehdi Azabou
Venkataraman Ganesh
S. Thakoor
Chi-Heng Lin
Lakshmi Sathidevi
Ran Liu
Michal Valko
Petar Velickovic
Eva L. Dyer
97
23
0
17 Aug 2023
Graph Neural Network Backend for Speaker Recognition
Graph Neural Network Backend for Speaker Recognition
Liang He
Rui Li
Mengqi Niu
59
0
0
17 Aug 2023
Independent Distribution Regularization for Private Graph Embedding
Independent Distribution Regularization for Private Graph Embedding
Qie Hu
Yangqiu Song
145
5
0
16 Aug 2023
Graph Out-of-Distribution Generalization with Controllable Data
  Augmentation
Graph Out-of-Distribution Generalization with Controllable Data Augmentation
Bin Lu
Xiaoying Gan
Ze Zhao
Shiyu Liang
Luoyi Fu
Xinbing Wang
Cheng Zhou
111
8
0
16 Aug 2023
Graph Relation Aware Continual Learning
Graph Relation Aware Continual Learning
Q. Shen
Weijieying Ren
Wei Qin
CLLBDL
55
2
0
16 Aug 2023
Prediction and Interpretation of Vehicle Trajectories in the Graph
  Spectral Domain
Prediction and Interpretation of Vehicle Trajectories in the Graph Spectral Domain
Marion Neumeier
Sebastian Dorn
M. Botsch
Wolfgang Utschick
56
1
0
16 Aug 2023
The Expressive Power of Graph Neural Networks: A Survey
The Expressive Power of Graph Neural Networks: A Survey
Bingxue Zhang
Changjun Fan
Shixuan Liu
Kuihua Huang
Xiang Zhao
Jin-Yu Huang
Zhong Liu
231
26
0
16 Aug 2023
Accelerating Generic Graph Neural Networks via Architecture, Compiler,
  Partition Method Co-Design
Accelerating Generic Graph Neural Networks via Architecture, Compiler, Partition Method Co-Design
Shuwen Lu
Zhihui Zhang
Cong Guo
Jingwen Leng
Yangjie Zhou
Minyi Guo
GNN
44
1
0
16 Aug 2023
S-Mixup: Structural Mixup for Graph Neural Networks
S-Mixup: Structural Mixup for Graph Neural Networks
Jung-Hyun Kim
Sukwon Yun
Chanyoung Park
42
2
0
16 Aug 2023
Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via
  Dynamic Graph Neural Networks
Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via Dynamic Graph Neural Networks
Xiaolin Zheng
Zhongyu Wang
Chaochao Chen
Feng Zhu
Jiashu Qian
51
0
0
15 Aug 2023
Towards Temporal Edge Regression: A Case Study on Agriculture Trade
  Between Nations
Towards Temporal Edge Regression: A Case Study on Agriculture Trade Between Nations
Lekang Jiang
Caiqi Zhang
Farimah Poursafaei
Shenyang Huang
90
2
0
15 Aug 2023
Simple and Efficient Partial Graph Adversarial Attack: A New Perspective
Simple and Efficient Partial Graph Adversarial Attack: A New Perspective
Guanghui Zhu
Meng Chen
Chun Yuan
Jiaming Ji
AAML
69
7
0
15 Aug 2023
Enhancing Visually-Rich Document Understanding via Layout Structure
  Modeling
Enhancing Visually-Rich Document Understanding via Layout Structure Modeling
Qiwei Li
Z. Li
Xiantao Cai
Bo Du
Hai Zhao
64
8
0
15 Aug 2023
Graph-Segmenter: Graph Transformer with Boundary-aware Attention for
  Semantic Segmentation
Graph-Segmenter: Graph Transformer with Boundary-aware Attention for Semantic Segmentation
Zizhang Wu
Yuanzhu Gan
Tianhao Xu
Fan Wang
ViT
62
8
0
15 Aug 2023
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot
  Node Classification
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification
Likang Wu
Junji Jiang
Hongke Zhao
Hao Wang
Defu Lian
Mengdi Zhang
Enhong Chen
43
4
0
15 Aug 2023
DREAMWALKER: Mental Planning for Continuous Vision-Language Navigation
DREAMWALKER: Mental Planning for Continuous Vision-Language Navigation
Hanqing Wang
Wei Liang
Luc Van Gool
Wenguan Wang
LM&Ro
85
32
0
14 Aug 2023
MM-GEF: Multi-modal representation meet collaborative filtering
MM-GEF: Multi-modal representation meet collaborative filtering
Hao Wu
Alejandro Ariza-Casabona
Bartlomiej Twardowski
Tri Kurniawan Wijaya
49
2
0
14 Aug 2023
Conformal Predictions Enhanced Expert-guided Meshing with Graph Neural
  Networks
Conformal Predictions Enhanced Expert-guided Meshing with Graph Neural Networks
Amin Heyrani Nobari
J. Rey
S. Kodali
Matthew Jones
Faez Ahmed
AI4CE
49
1
0
14 Aug 2023
Language is All a Graph Needs
Language is All a Graph Needs
Ruosong Ye
Caiqi Zhang
Runhui Wang
Shuyuan Xu
Yongfeng Zhang
AI4CE
168
170
0
14 Aug 2023
Can Knowledge Graphs Simplify Text?
Can Knowledge Graphs Simplify Text?
Anthony Colas
Haodi Ma
Xuanli He
Yang Bai
D. Wang
79
4
0
14 Aug 2023
Search to Fine-tune Pre-trained Graph Neural Networks for Graph-level
  Tasks
Search to Fine-tune Pre-trained Graph Neural Networks for Graph-level Tasks
Zhili Wang
Shimin Di
Lei Chen
Xiaofang Zhou
118
10
0
14 Aug 2023
Shape-Graph Matching Network (SGM-net): Registration for Statistical
  Shape Analysis
Shape-Graph Matching Network (SGM-net): Registration for Statistical Shape Analysis
Shenyuan Liang
Maurício Pamplona Segundo
Sathyanarayanan N. Aakur
Sudeep Sarkar
A. Srivastava
3DPC
85
2
0
14 Aug 2023
Effect of Choosing Loss Function when Using T-batching for
  Representation Learning on Dynamic Networks
Effect of Choosing Loss Function when Using T-batching for Representation Learning on Dynamic Networks
Erfan Loghmani
MohammadAmin Fazli
41
4
0
13 Aug 2023
Weisfeiler and Lehman Go Paths: Learning Topological Features via Path
  Complexes
Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes
Quang Truong
Peter Chin
GNN
94
9
0
13 Aug 2023
Reinforcement Graph Clustering with Unknown Cluster Number
Reinforcement Graph Clustering with Unknown Cluster Number
Yue Liu
K. Liang
Jun Xia
Xihong Yang
Sihang Zhou
Meng Liu
Xinwang Liu
Stan Z. Li
GNN
99
28
0
13 Aug 2023
SAILOR: Structural Augmentation Based Tail Node Representation Learning
SAILOR: Structural Augmentation Based Tail Node Representation Learning
Jie Liao
Jintang Li
Liang Chen
Bing Wu
Yatao Bian
Zibin Zheng
65
4
0
13 Aug 2023
Learning on Graphs with Out-of-Distribution Nodes
Learning on Graphs with Out-of-Distribution Nodes
Yunho Song
Donglin Wang
OODD
74
43
0
13 Aug 2023
Video Captioning with Aggregated Features Based on Dual Graphs and Gated
  Fusion
Video Captioning with Aggregated Features Based on Dual Graphs and Gated Fusion
Yutao Jin
Bin Liu
Jing Wang
82
1
0
13 Aug 2023
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