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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
TacticAI: an AI assistant for football tactics
TacticAI: an AI assistant for football tactics
Zhe Wang
Petar Velickovic
Daniel Hennes
Nenad Tomašev
Laurel Prince
...
Pol Moreno
N. Heess
Michael Bowling
Demis Hassabis
K. Tuyls
134
45
0
16 Oct 2023
MechGPT, a language-based strategy for mechanics and materials modeling
  that connects knowledge across scales, disciplines and modalities
MechGPT, a language-based strategy for mechanics and materials modeling that connects knowledge across scales, disciplines and modalities
Markus J. Buehler
KELM
90
61
0
16 Oct 2023
Equivariant Matrix Function Neural Networks
Equivariant Matrix Function Neural Networks
Ilyes Batatia
Lars L. Schaaf
Huajie Chen
Gábor Csányi
Christoph Ortner
Felix A. Faber
85
6
0
16 Oct 2023
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection
Zhihao Ding
Jieming Shi
Shiqi Shen
Xuequn Shang
Jiannong Cao
Zhipeng Wang
Zhi Gong
OODDOOD
101
4
0
16 Oct 2023
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and
  Beyond
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond
Andi Han
Dai Shi
Lequan Lin
Junbin Gao
AI4CEGNN
103
24
0
16 Oct 2023
Node classification in networks via simplicial interactions
Node classification in networks via simplicial interactions
Eunho Koo
Tongseok Lim
82
0
0
16 Oct 2023
Shape-aware Graph Spectral Learning
Shape-aware Graph Spectral Learning
Junjie Xu
Enyan Dai
Dongsheng Luo
Xiang Zhang
Suhang Wang
94
3
0
16 Oct 2023
Riemannian Residual Neural Networks
Riemannian Residual Neural Networks
Isay Katsman
Eric Chen
Sidhanth Holalkere
Anna Asch
Aaron Lou
Ser-Nam Lim
Christopher De Sa
79
13
0
16 Oct 2023
A Survey of Graph and Attention Based Hyperspectral Image Classification
  Methods for Remote Sensing Data
A Survey of Graph and Attention Based Hyperspectral Image Classification Methods for Remote Sensing Data
Aryan Vats
Manan Suri
32
2
0
16 Oct 2023
On Statistical Learning of Branch and Bound for Vehicle Routing
  Optimization
On Statistical Learning of Branch and Bound for Vehicle Routing Optimization
Andrew Naguib
Waleed A. Yousef
Issa Traoré
Mohammed Mamun
68
0
0
15 Oct 2023
MAGIC: Detecting Advanced Persistent Threats via Masked Graph
  Representation Learning
MAGIC: Detecting Advanced Persistent Threats via Masked Graph Representation Learning
Zian Jia
Yun Xiong
Yuhong Nan
Yao Zhang
Jinjing Zhao
Mi Wen
71
23
0
15 Oct 2023
Model Inversion Attacks on Homogeneous and Heterogeneous Graph Neural
  Networks
Model Inversion Attacks on Homogeneous and Heterogeneous Graph Neural Networks
Renyang Liu
Wei Zhou
Jinhong Zhang
Xiaoyuan Liu
Peiyuan Si
Haoran Li
AAML
58
0
0
15 Oct 2023
Dynamic Link Prediction for New Nodes in Temporal Graph Networks
Dynamic Link Prediction for New Nodes in Temporal Graph Networks
Xiaobo Zhu
Yan Wu
Qin-Hu Zhang
Zhanheng Chen
Ying He
AI4CE
75
2
0
15 Oct 2023
Rethinking Relation Classification with Graph Meaning Representations
Rethinking Relation Classification with Graph Meaning Representations
Li Zhou
Wenyu Chen
DingYi Zeng
Hong Qu
Daniel Hershcovich
AI4CE
51
0
0
15 Oct 2023
SGA: A Graph Augmentation Method for Signed Graph Neural Networks
SGA: A Graph Augmentation Method for Signed Graph Neural Networks
Zeyu Zhang
Shuyan Wan
Sijie Wang
Xianda Zheng
Xinrui Zhang
Kaiqi Zhao
Jiamou Liu
Dong Hao
54
1
0
15 Oct 2023
Topology-guided Hypergraph Transformer Network: Unveiling Structural
  Insights for Improved Representation
Topology-guided Hypergraph Transformer Network: Unveiling Structural Insights for Improved Representation
Khaled Mohammed Saifuddin
M. E. Aktas
Esra Akbas
54
1
0
14 Oct 2023
Context-aware Session-based Recommendation with Graph Neural Networks
Context-aware Session-based Recommendation with Graph Neural Networks
Zhihui Zhang
Jianxiang Yu
Xiang Li
78
1
0
14 Oct 2023
Causality and Independence Enhancement for Biased Node Classification
Causality and Independence Enhancement for Biased Node Classification
Guoxin Chen
Yongqing Wang
Fangda Guo
Qinglang Guo
Jiangli Shao
Huawei Shen
Xueqi Cheng
CMLAI4CEOOD
83
14
0
14 Oct 2023
Graph Neural Network approaches for single-cell data: A recent overview
Graph Neural Network approaches for single-cell data: A recent overview
Konstantinos Lazaros
Dimitrios E Koumadorakis
Vlamos
Aristidis G. Vrahatis
AI4CE
63
10
0
14 Oct 2023
Mirage: Model-Agnostic Graph Distillation for Graph Classification
Mirage: Model-Agnostic Graph Distillation for Graph Classification
Mridul Gupta
S. Manchanda
H. Kodamana
Sayan Ranu
DD
89
16
0
14 Oct 2023
Graph Distillation with Eigenbasis Matching
Graph Distillation with Eigenbasis Matching
Yang Liu
Deyu Bo
Chuan Shi
DD
138
10
0
13 Oct 2023
Does Graph Distillation See Like Vision Dataset Counterpart?
Does Graph Distillation See Like Vision Dataset Counterpart?
Beining Yang
Kai Wang
Qingyun Sun
Cheng Ji
Xingcheng Fu
Hao Tang
Yang You
Jianxin Li
DD
71
45
0
13 Oct 2023
Exploring Sparse Spatial Relation in Graph Inference for Text-Based VQA
Exploring Sparse Spatial Relation in Graph Inference for Text-Based VQA
Sheng Zhou
Dan Guo
Jia Li
Xun Yang
Ming Wang
88
14
0
13 Oct 2023
CROWN: A Novel Approach to Comprehending Users' Preferences for Accurate Personalized News Recommendation
CROWN: A Novel Approach to Comprehending Users' Preferences for Accurate Personalized News Recommendation
Yunyong Ko
Seongeun Ryu
Sang-Wook Kim
AI4TS
110
0
0
13 Oct 2023
Heterophily-Based Graph Neural Network for Imbalanced Classification
Heterophily-Based Graph Neural Network for Imbalanced Classification
Zirui Liang
Yuntao Li
Tianjin Huang
A. Saxena
Yulong Pei
Mykola Pechenizkiy
100
0
0
12 Oct 2023
LLM-augmented Preference Learning from Natural Language
LLM-augmented Preference Learning from Natural Language
Inwon Kang
Sikai Ruan
Tyler Ho
Jui-Chien Lin
Farhad Mohsin
Oshani Seneviratne
Lirong Xia
60
3
0
12 Oct 2023
Towards Robust Multi-Modal Reasoning via Model Selection
Towards Robust Multi-Modal Reasoning via Model Selection
Xiangyan Liu
Rongxue Li
Wei Ji
Tao Lin
LLMAGLRM
90
6
0
12 Oct 2023
Infinite Width Graph Neural Networks for Node Regression/ Classification
Infinite Width Graph Neural Networks for Node Regression/ Classification
Yunus Cobanoglu
AI4CE
65
1
0
12 Oct 2023
Multi-Scale Spatial-Temporal Recurrent Networks for Traffic Flow
  Prediction
Multi-Scale Spatial-Temporal Recurrent Networks for Traffic Flow Prediction
Haiyang Liu
Chunjiang Zhu
Detian Zhang
Qing Li
AI4TSGNN
102
0
0
12 Oct 2023
GRASP: Accelerating Shortest Path Attacks via Graph Attention
GRASP: Accelerating Shortest Path Attacks via Graph Attention
Zohair Shafi
Benjamin A. Miller
Ayan Chatterjee
Tina Eliassi-Rad
R. Caceres
36
1
0
12 Oct 2023
Graph-SCP: Accelerating Set Cover Problems with Graph Neural Networks
Graph-SCP: Accelerating Set Cover Problems with Graph Neural Networks
Zohair Shafi
Benjamin A. Miller
Tina Eliassi-Rad
R. Caceres
62
1
0
12 Oct 2023
Global Minima, Recoverability Thresholds, and Higher-Order Structure in
  GNNS
Global Minima, Recoverability Thresholds, and Higher-Order Structure in GNNS
Drake Brown
Trevor Garrity
Kaden Parker
Jason Oliphant
Stone Carson
Cole Hanson
Zachary Boyd
52
0
0
11 Oct 2023
Differentiable Euler Characteristic Transforms for Shape Classification
Differentiable Euler Characteristic Transforms for Shape Classification
Ernst Röell
Bastian Rieck
99
7
0
11 Oct 2023
Relational Prior Knowledge Graphs for Detection and Instance
  Segmentation
Relational Prior Knowledge Graphs for Detection and Instance Segmentation
Osman Ülger
Yu Wang
Ysbrand Galama
Sezer Karaoglu
Theo Gevers
Martin R. Oswald
122
1
0
11 Oct 2023
ADMEOOD: Out-of-Distribution Benchmark for Drug Property Prediction
ADMEOOD: Out-of-Distribution Benchmark for Drug Property Prediction
Shuoying Wei
Xinlong Wen
Lida Zhu
Songquan Li
Rongbo Zhu
OOD
118
1
0
11 Oct 2023
Are GATs Out of Balance?
Are GATs Out of Balance?
Nimrah Mustafa
Aleksandar Bojchevski
R. Burkholz
130
5
0
11 Oct 2023
GraphCloak: Safeguarding Task-specific Knowledge within Graph-structured
  Data from Unauthorized Exploitation
GraphCloak: Safeguarding Task-specific Knowledge within Graph-structured Data from Unauthorized Exploitation
Yixin Liu
Chenrui Fan
Xun Chen
Pan Zhou
Lichao Sun
100
4
0
11 Oct 2023
Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design
Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design
Lev Telyatnikov
Maria Sofia Bucarelli
Guillermo Bernardez
Olga Zaghen
Simone Scardapane
Pietro Lio
112
11
0
11 Oct 2023
Taking the human out of decomposition-based optimization via artificial
  intelligence: Part I. Learning when to decompose
Taking the human out of decomposition-based optimization via artificial intelligence: Part I. Learning when to decompose
Ilias Mitrai
P. Daoutidis
56
4
0
10 Oct 2023
Flood and Echo Net: Algorithmically Aligned GNNs that Generalize
Flood and Echo Net: Algorithmically Aligned GNNs that Generalize
Joël Mathys
Florian Grötschla
K. Nadimpalli
Roger Wattenhofer
FedML
84
0
0
10 Oct 2023
FABind: Fast and Accurate Protein-Ligand Binding
FABind: Fast and Accurate Protein-Ligand Binding
Qizhi Pei
Kaiyuan Gao
Lijun Wu
Jinhua Zhu
Yingce Xia
Shufang Xie
Tao Qin
Kun He
Tie-Yan Liu
Rui Yan
142
21
0
10 Oct 2023
Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph
  Embeddings Augmentation
Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings Augmentation
Anwar Said
Mudassir Shabbir
Hanyu Wang
W. Abbas
X. Koutsoukos
68
3
0
10 Oct 2023
On the importance of catalyst-adsorbate 3D interactions for relaxed
  energy predictions
On the importance of catalyst-adsorbate 3D interactions for relaxed energy predictions
Alvaro Carbonero
Alexandre Duval
Victor Schmidt
Santiago Miret
Alex Hernandez-Garcia
Yoshua Bengio
David Rolnick
66
0
0
10 Oct 2023
An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for
  Traveling Salesman Problems
An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for Traveling Salesman Problems
Shiqing Liu
Xueming Yan
Yaochu Jin
106
8
0
10 Oct 2023
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach
Kai Zhao
Qiyu Kang
Yang Song
Rui She
Sijie Wang
Wee Peng Tay
AAML
97
25
0
10 Oct 2023
Controllable Chest X-Ray Report Generation from Longitudinal
  Representations
Controllable Chest X-Ray Report Generation from Longitudinal Representations
Francesco Dalla Serra
Chaoyang Wang
Fani Deligianni
Jeffrey Stephen Dalton
Alison Q. OÑeil
MedIm
111
16
0
09 Oct 2023
GraphLLM: Boosting Graph Reasoning Ability of Large Language Model
GraphLLM: Boosting Graph Reasoning Ability of Large Language Model
Ziwei Chai
Tianjie Zhang
Liang Wu
Kaiqiao Han
Xiaohai Hu
Xuanwen Huang
Yang Yang
AI4MHLRM
60
68
0
09 Oct 2023
Nonlinear Correct and Smooth for Semi-Supervised Learning
Nonlinear Correct and Smooth for Semi-Supervised Learning
Yuanhang Shao
Xiuwen Liu
62
1
0
09 Oct 2023
DRIN: Dynamic Relation Interactive Network for Multimodal Entity Linking
DRIN: Dynamic Relation Interactive Network for Multimodal Entity Linking
Shangyu Xing
Fei Zhao
Zhen Wu
Chunhui Li
Jianbing Zhang
Xinyu Dai
57
9
0
09 Oct 2023
Tailoring Self-Attention for Graph via Rooted Subtrees
Tailoring Self-Attention for Graph via Rooted Subtrees
Siyuan Huang
Yunchong Song
Jiayue Zhou
Zhouhan Lin
81
8
0
08 Oct 2023
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