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Graph Attention Networks

Graph Attention Networks

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

Papers citing "Graph Attention Networks"

50 / 3,085 papers shown
Title
Label Deconvolution for Node Representation Learning on Large-scale
  Attributed Graphs against Learning Bias
Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias
Zhihao Shi
Jie Wang
Fanghua Lu
Hanzhu Chen
Defu Lian
Zheng Wang
Jieping Ye
Feng Wu
AI4CE
32
6
0
26 Sep 2023
A Comparative Study of Population-Graph Construction Methods and Graph
  Neural Networks for Brain Age Regression
A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression
Kyriaki-Margarita Bintsi
Tamara T. Mueller
Sophie Starck
V. Baltatzis
A. Hammers
Daniel Rueckert
22
2
0
26 Sep 2023
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning
Jing Zhu
Xiang Song
V. Ioannidis
Danai Koutra
Christos Faloutsos
62
13
0
25 Sep 2023
From Cluster Assumption to Graph Convolution: Graph-based
  Semi-Supervised Learning Revisited
From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited
Zheng Wang
H. Ding
L. Pan
Jianhua Li
Zhiguo Gong
Philip S. Yu
GNN
31
5
0
24 Sep 2023
E(2)-Equivariant Graph Planning for Navigation
E(2)-Equivariant Graph Planning for Navigation
Linfeng Zhao
Hongyu Li
T. Padır
Huaizu Jiang
Lawson L. S. Wong
25
6
0
22 Sep 2023
Prototype-Enhanced Hypergraph Learning for Heterogeneous Information
  Networks
Prototype-Enhanced Hypergraph Learning for Heterogeneous Information Networks
Shuai Wang
Jiayi Shen
Athanasios Efthymiou
S. Rudinac
Monika Kackovic
N. Wijnberg
M. Worring
21
0
0
22 Sep 2023
Unsupervised Deep Cross-Language Entity Alignment
Unsupervised Deep Cross-Language Entity Alignment
Chuanyu Jiang
Yiming Qian
Lijun Chen
Yang Gu
Xia Xie
44
5
0
19 Sep 2023
Unsupervised Learning via Network-Aware Embeddings
Unsupervised Learning via Network-Aware Embeddings
Anne Sophie Riis Damstrup
Sofie Tosti Madsen
Michele Coscia
SSL
43
0
0
19 Sep 2023
CaT: Balanced Continual Graph Learning with Graph Condensation
CaT: Balanced Continual Graph Learning with Graph Condensation
Yilun Liu
Ruihong Qiu
Zi Huang
DD
44
37
0
18 Sep 2023
Semi-supervised Domain Adaptation on Graphs with Contrastive Learning
  and Minimax Entropy
Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy
Jiaren Xiao
Quanyu Dai
X. Shen
Xiaochen Xie
Jing Dai
James Lam
Ka-Wai Kwok
33
6
0
14 Sep 2023
Attention-based Dynamic Graph Convolutional Recurrent Neural Network for
  Traffic Flow Prediction in Highway Transportation
Attention-based Dynamic Graph Convolutional Recurrent Neural Network for Traffic Flow Prediction in Highway Transportation
Tianpu Zhang
Weilong Ding
Mengda Xing
GNN
AI4TS
27
0
0
13 Sep 2023
Blink: Link Local Differential Privacy in Graph Neural Networks via
  Bayesian Estimation
Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation
Xiaochen Zhu
Vincent Y. F. Tan
Xiaokui Xiao
32
9
0
06 Sep 2023
Unifying over-smoothing and over-squashing in graph neural networks: A
  physics informed approach and beyond
Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond
Zhiqi Shao
Dai Shi
Andi Han
Yi Guo
Qianchuan Zhao
Junbin Gao
38
12
0
06 Sep 2023
Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural
  Networks
Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks
Andreas Roth
Thomas Liebig
56
13
0
31 Aug 2023
Companion Animal Disease Diagnostics based on Literal-aware Medical
  Knowledge Graph Representation Learning
Companion Animal Disease Diagnostics based on Literal-aware Medical Knowledge Graph Representation Learning
Van Thuy Hoang
Sang Thanh Nguyen
Sangmyeong Lee
Jooho Lee
Luong Vuong Nguyen
O-Joun Lee
28
8
0
31 Aug 2023
Domain-adaptive Message Passing Graph Neural Network
Domain-adaptive Message Passing Graph Neural Network
X. Shen
Shirui Pan
K. Choi
Xiaoping Zhou
38
16
0
31 Aug 2023
Contrastive Representation Learning Based on Multiple Node-centered
  Subgraphs
Contrastive Representation Learning Based on Multiple Node-centered Subgraphs
Dong Li
Wenjun Wang
Minglai Shao
Chen Zhao
SSL
30
2
0
31 Aug 2023
CktGNN: Circuit Graph Neural Network for Electronic Design Automation
CktGNN: Circuit Graph Neural Network for Electronic Design Automation
Zehao Dong
Weidong Cao
Muhan Zhang
Dacheng Tao
Yixin Chen
Xuan Zhang
GNN
34
31
0
31 Aug 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and
  Applications
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications
Yi Zhang
Yuying Zhao
Zhaoqing Li
Xueqi Cheng
Yu-Chiang Frank Wang
Olivera Kotevska
Philip S. Yu
Tyler Derr
31
10
0
31 Aug 2023
MSGNN: Multi-scale Spatio-temporal Graph Neural Network for Epidemic
  Forecasting
MSGNN: Multi-scale Spatio-temporal Graph Neural Network for Epidemic Forecasting
Mingjie Qiu
Zhiyi Tan
Bingkun Bao
43
6
0
30 Aug 2023
Efficient and Explainable Graph Neural Architecture Search via
  Monte-Carlo Tree Search
Efficient and Explainable Graph Neural Architecture Search via Monte-Carlo Tree Search
Yuya Sasaki
42
0
0
30 Aug 2023
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks
Haoran Liu
Bokun Wang
Jianling Wang
Xiangjue Dong
Tianbao Yang
James Caverlee
AAML
44
3
0
29 Aug 2023
Graph-based Asynchronous Event Processing for Rapid Object Recognition
Graph-based Asynchronous Event Processing for Rapid Object Recognition
Yijin Li
Han Zhou
Bangbang Yang
Yexin Zhang
Zhaopeng Cui
Hujun Bao
Guofeng Zhang
43
95
0
28 Aug 2023
Detecting Inactive Cyberwarriors from Online Forums
Detecting Inactive Cyberwarriors from Online Forums
Ruei-Yuan Wang
Hung-Hsuan Chen
36
3
0
28 Aug 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and
  Future Directions
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions
Zemin Liu
Yuan N. Li
Nan-Fang Chen
Qian Wang
Bryan Hooi
Bin He
FaML
21
13
0
26 Aug 2023
A Survey of Graph Unlearning
A Survey of Graph Unlearning
Anwar Said
Tyler Derr
Mudassir Shabbir
W. Abbas
X. Koutsoukos
MU
33
7
0
23 Aug 2023
Class Label-aware Graph Anomaly Detection
Class Label-aware Graph Anomaly Detection
Junghoon Kim
Yeonjun In
Kanghoon Yoon
Junmo Lee
Chanyoung Park
25
9
0
22 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
Keli Zhang
Yang Wang
42
8
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
GNN
AI4TS
29
21
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
Jianan Liu
Yuxuan Xia
Tao Huang
Qinghua Han
Hongbin Liu
VOT
3DPC
41
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
53
25
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
22
11
0
18 Aug 2023
Graph Neural Network Backend for Speaker Recognition
Graph Neural Network Backend for Speaker Recognition
Liang He
Rui Li
Mengqi Niu
32
0
0
17 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
40
20
0
16 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
40
28
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
22
1
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
18
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
19
39
0
13 Aug 2023
EquiDiff: A Conditional Equivariant Diffusion Model For Trajectory
  Prediction
EquiDiff: A Conditional Equivariant Diffusion Model For Trajectory Prediction
Kehua Chen
Xianda Chen
Zihan Yu
Meixin Zhu
Hai Yang
DiffM
57
20
0
12 Aug 2023
ERNetCL: A novel emotion recognition network in textual conversation
  based on curriculum learning strategy
ERNetCL: A novel emotion recognition network in textual conversation based on curriculum learning strategy
Jiang Li
Xiaoping Wang
Yingjian Liu
Zhigang Zeng
40
6
0
12 Aug 2023
Beyond Semantics: Learning a Behavior Augmented Relevance Model with
  Self-supervised Learning
Beyond Semantics: Learning a Behavior Augmented Relevance Model with Self-supervised Learning
Ze-jie Chen
Wei Chen
Jia Xu
Zhongyi Liu
Wei Zhang
RALM
23
4
0
10 Aug 2023
Constructing Holistic Spatio-Temporal Scene Graph for Video Semantic
  Role Labeling
Constructing Holistic Spatio-Temporal Scene Graph for Video Semantic Role Labeling
Yu Zhao
Hao Fei
Yixin Cao
Bobo Li
Meishan Zhang
Jianguo Wei
Hao Fei
Tat-Seng Chua
26
13
0
09 Aug 2023
Methods for Acquiring and Incorporating Knowledge into Stock Price
  Prediction: A Survey
Methods for Acquiring and Incorporating Knowledge into Stock Price Prediction: A Survey
Liping Wang
Jiawei Li
Lifan Zhao
Zhizhuo Kou
Xiaohan Wang
Xinyi Zhu
Hao Wang
Yanyan Shen
Lei Chen
AIFin
31
9
0
09 Aug 2023
Class-level Structural Relation Modelling and Smoothing for Visual
  Representation Learning
Class-level Structural Relation Modelling and Smoothing for Visual Representation Learning
Zitan Chen
Zhuang Qi
Xiao Cao
Xiangxian Li
Xiangxu Meng
Lei Meng
20
8
0
08 Aug 2023
SEM-GAT: Explainable Semantic Pose Estimation using Learned Graph
  Attention
SEM-GAT: Explainable Semantic Pose Estimation using Learned Graph Attention
Efimia Panagiotaki
D. Martini
Georgi Pramatarov
Matthew Gadd
Lars Kunze
3DPC
22
5
0
07 Aug 2023
SemOpenAlex: The Scientific Landscape in 26 Billion RDF Triples
SemOpenAlex: The Scientific Landscape in 26 Billion RDF Triples
Michael Färber
David Lamprecht
J. Krause
Lin Aung
P. Haase
32
11
0
07 Aug 2023
Local Structure-aware Graph Contrastive Representation Learning
Local Structure-aware Graph Contrastive Representation Learning
Kai Yang
Yuan Liu
Zijuan Zhao
P. Ding
Wen-feng Zhao
33
3
0
07 Aug 2023
SwinGar: Spectrum-Inspired Neural Dynamic Deformation for Free-Swinging
  Garments
SwinGar: Spectrum-Inspired Neural Dynamic Deformation for Free-Swinging Garments
Tianxing Li
Rui Shi
Qing Zhu
T. Kanai
29
1
0
05 Aug 2023
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph
  Classification
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification
Zhengyan Mao
Wei Ju
Yifang Qin
Xiao Luo
Ming Zhang
39
16
0
04 Aug 2023
Can Attention Be Used to Explain EHR-Based Mortality Prediction Tasks: A
  Case Study on Hemorrhagic Stroke
Can Attention Be Used to Explain EHR-Based Mortality Prediction Tasks: A Case Study on Hemorrhagic Stroke
Qizhang Feng
Jiayi Yuan
F. B. Emdad
Karim Hanna
Xia Hu
Zhe He
24
4
0
04 Aug 2023
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