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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
Rethinking Propagation for Unsupervised Graph Domain Adaptation
Rethinking Propagation for Unsupervised Graph Domain Adaptation
Meihan Liu
Zeyu Fang
Zhen Zhang
Ming Gu
Sheng Zhou
Xin Eric Wang
Jiajun Bu
AI4CE
95
16
0
08 Feb 2024
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph
  Representation Learning
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning
Gangda Deng
Hongkuan Zhou
Hanqing Zeng
Yinglong Xia
Christopher Leung
Jianbo Li
Rajgopal Kannan
Viktor Prasanna
82
1
0
08 Feb 2024
Learning on Multimodal Graphs: A Survey
Learning on Multimodal Graphs: A Survey
Ciyuan Peng
Jiayuan He
Xiwei Xu
89
10
0
07 Feb 2024
QGFN: Controllable Greediness with Action Values
QGFN: Controllable Greediness with Action Values
Elaine Lau
Stephen Zhewen Lu
Ling Pan
Doina Precup
Emmanuel Bengio
169
14
0
07 Feb 2024
Navigating Complexity: Toward Lossless Graph Condensation via Expanding
  Window Matching
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching
Yuchen Zhang
Tianle Zhang
Kai Wang
Ziyao Guo
Yuxuan Liang
Xavier Bresson
Wei Jin
Yang You
128
26
0
07 Feb 2024
Adaptive Hypergraph Network for Trust Prediction
Adaptive Hypergraph Network for Trust Prediction
Rongwei Xu
Guanfeng Liu
Yan Wang
Xuyun Zhang
Kai Zheng
Xiaofang Zhou
56
1
0
07 Feb 2024
Two Trades is not Baffled: Condensing Graph via Crafting Rational
  Gradient Matching
Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching
Tianle Zhang
Yuchen Zhang
Kun Wang
Kai Wang
Beining Yang
Kaipeng Zhang
Wenqi Shao
Ping Liu
Qiufeng Wang
Yang You
DD
157
14
0
07 Feb 2024
Incorporating Retrieval-based Causal Learning with Information
  Bottlenecks for Interpretable Graph Neural Networks
Incorporating Retrieval-based Causal Learning with Information Bottlenecks for Interpretable Graph Neural Networks
Jiahua Rao
Jiancong Xie
Hanjing Lin
Shuangjia Zheng
Zhen Wang
Yuedong Yang
75
1
0
07 Feb 2024
The Future of Cognitive Strategy-enhanced Persuasive Dialogue Agents:
  New Perspectives and Trends
The Future of Cognitive Strategy-enhanced Persuasive Dialogue Agents: New Perspectives and Trends
Mengqi Chen
Bin Guo
Hao Wang
Haoyu Li
Qian Zhao
Jingqi Liu
Yasan Ding
Yan Pan
Zhiwen Yu
LLMAG
82
2
0
07 Feb 2024
Triplet Interaction Improves Graph Transformers: Accurate Molecular
  Graph Learning with Triplet Graph Transformers
Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers
Md Shamim Hussain
Mohammed J Zaki
D. Subramanian
ViT
122
8
0
07 Feb 2024
Investigating Generalization Behaviours of Generative Flow Networks
Investigating Generalization Behaviours of Generative Flow Networks
Lazar Atanackovic
Emmanuel Bengio
AI4CE
91
4
0
07 Feb 2024
FairWire: Fair Graph Generation
FairWire: Fair Graph Generation
O. Deniz Kose
Yanning Shen
112
3
0
06 Feb 2024
Human Observation-Inspired Trajectory Prediction for Autonomous Driving
  in Mixed-Autonomy Traffic Environments
Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments
Haicheng Liao
Shangqian Liu
Yongkang Li
Zhenning Li
Chengyue Wang
Yunjian Li
Shengbo Eben Li
Chengzhong Xu
106
18
0
06 Feb 2024
LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100×100\times100× Faster Inference
Yifan Feng
Yihe Luo
Shihui Ying
Yue Gao
BDL
101
2
0
06 Feb 2024
On provable privacy vulnerabilities of graph representations
On provable privacy vulnerabilities of graph representations
Ruofan Wu
Guanhua Fang
Qiying Pan
Mingyang Zhang
Tengfei Liu
Weiqiang Wang
AAML
64
0
0
06 Feb 2024
CADReN: Contextual Anchor-Driven Relational Network for Controllable
  Cross-Graphs Node Importance Estimation
CADReN: Contextual Anchor-Driven Relational Network for Controllable Cross-Graphs Node Importance Estimation
Zijie Zhong
Yunhui Zhang
Ziyi Chang
Zengchang Qin
GNN
61
0
0
06 Feb 2024
Masked Graph Autoencoder with Non-discrete Bandwidths
Masked Graph Autoencoder with Non-discrete Bandwidths
Zi-qiang Zhao
Yuhua Li
Yixiong Zou
Jiliang Tang
Ruixuan Li
86
12
0
06 Feb 2024
Deep Outdated Fact Detection in Knowledge Graphs
Deep Outdated Fact Detection in Knowledge Graphs
Huiling Tu
Shuo Yu
Vidya Saikrishna
Xiwei Xu
Karin Verspoor
100
10
0
06 Feb 2024
Similarity-based Neighbor Selection for Graph LLMs
Similarity-based Neighbor Selection for Graph LLMs
Rui Li
Jiwei Li
Jiawei Han
Guoyin Wang
60
5
0
06 Feb 2024
Attention-based Shape and Gait Representations Learning for Video-based
  Cloth-Changing Person Re-Identification
Attention-based Shape and Gait Representations Learning for Video-based Cloth-Changing Person Re-Identification
Vuong D. Nguyen
Samiha Mirza
Pranav Mantini
Shishir K. Shah
CVBM
77
11
0
06 Feb 2024
Single-GPU GNN Systems: Traps and Pitfalls
Single-GPU GNN Systems: Traps and Pitfalls
Yidong Gong
A. Tarafder
Saima Afrin
Pradeep Kumar
GNN
100
3
0
05 Feb 2024
Physics-Encoded Graph Neural Networks for Deformation Prediction under
  Contact
Physics-Encoded Graph Neural Networks for Deformation Prediction under Contact
Mahdi Saleh
Michael Sommersperger
Nassir Navab
F. Tombari
AI4CE
67
4
0
05 Feb 2024
Empowering Time Series Analysis with Large Language Models: A Survey
Empowering Time Series Analysis with Large Language Models: A Survey
Yushan Jiang
Zijie Pan
Xikun Zhang
Sahil Garg
Anderson Schneider
Yuriy Nevmyvaka
Dongjin Song
AI4TSAIFin
178
56
0
05 Feb 2024
Understanding and Guiding Weakly Supervised Entity Alignment with
  Potential Isomorphism Propagation
Understanding and Guiding Weakly Supervised Entity Alignment with Potential Isomorphism Propagation
Yuanyi Wang
Wei Tang
Haifeng Sun
Zirui Zhuang
Xiaoyuan Fu
Jingyu Wang
Qi Qi
Jianxin Liao
83
1
0
05 Feb 2024
Dependency Aware Incident Linking in Large Cloud Systems
Dependency Aware Incident Linking in Large Cloud Systems
Supriyo Ghosh
Karish Grover
Jimmy Wong
Chetan Bansal
Rakesh Namineni
Mohit Verma
Saravan Rajmohan
47
2
0
05 Feb 2024
Putting Context in Context: the Impact of Discussion Structure on Text
  Classification
Putting Context in Context: the Impact of Discussion Structure on Text Classification
Nicolo Penzo
Antonio Longa
Bruno Lepri
Sara Tonelli
Marco Guerini
75
1
0
05 Feb 2024
Graph Neural Machine: A New Model for Learning with Tabular Data
Graph Neural Machine: A New Model for Learning with Tabular Data
Giannis Nikolentzos
Siyun Wang
J. Lutzeyer
Michalis Vazirgiannis
68
0
0
05 Feb 2024
PowerGraph: A power grid benchmark dataset for graph neural networks
PowerGraph: A power grid benchmark dataset for graph neural networks
Anna Varbella
Kenza Amara
B. Gjorgiev
Mennatallah El-Assady
G. Sansavini
46
9
0
05 Feb 2024
EXGC: Bridging Efficiency and Explainability in Graph Condensation
EXGC: Bridging Efficiency and Explainability in Graph Condensation
Sihang Li
Xinglin Li
Yongduo Sui
Yuan Gao
Guibin Zhang
Kun Wang
Xiang Wang
Xiangnan He
DD
119
21
0
05 Feb 2024
DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation
DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation
Yuan Gao
Haokun Chen
Xiang Wang
Zhicai Wang
Xue Wang
Jinyang Gao
Bolin Ding
74
6
0
05 Feb 2024
Correlational Lagrangian Schrödinger Bridge: Learning Dynamics with
  Population-Level Regularization
Correlational Lagrangian Schrödinger Bridge: Learning Dynamics with Population-Level Regularization
Yuning You
Ruida Zhou
Yang Shen
62
2
0
04 Feb 2024
SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for
  Autonomous Driving
SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous Driving
Lunkai Zhang
Peiliang Li
Sikang Liu
Shaojie Shen
72
23
0
04 Feb 2024
A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer
A Graph is Worth KKK Words: Euclideanizing Graph using Pure Transformer
Zhangyang Gao
Daize Dong
Cheng Tan
Jun Xia
Bozhen Hu
Stan Z. Li
103
8
0
04 Feb 2024
Overcoming Order in Autoregressive Graph Generation
Overcoming Order in Autoregressive Graph Generation
Edo Cohen-Karlik
Eyal Rozenberg
Daniel Freedman
75
1
0
04 Feb 2024
Advancing Graph Representation Learning with Large Language Models: A
  Comprehensive Survey of Techniques
Advancing Graph Representation Learning with Large Language Models: A Comprehensive Survey of Techniques
Qiheng Mao
Zemin Liu
Chenghao Liu
Zhuo Li
Jianling Sun
69
10
0
04 Feb 2024
Multi-modal Causal Structure Learning and Root Cause Analysis
Multi-modal Causal Structure Learning and Root Cause Analysis
Lecheng Zheng
Zhengzhang Chen
Jingrui He
Haifeng Chen
52
5
0
04 Feb 2024
Active Learning for Graphs with Noisy Structures
Active Learning for Graphs with Noisy Structures
Hongliang Chi
Cong Qi
Suhang Wang
Yao Ma
83
3
0
04 Feb 2024
SemPool: Simple, robust, and interpretable KG pooling for enhancing
  language models
SemPool: Simple, robust, and interpretable KG pooling for enhancing language models
Costas Mavromatis
Petros Karypis
George Karypis
KELMRALM
91
3
0
03 Feb 2024
Position: Graph Foundation Models are Already Here
Position: Graph Foundation Models are Already Here
Haitao Mao
Zhikai Chen
Wenzhuo Tang
Jianan Zhao
Yao Ma
Tong Zhao
Neil Shah
Mikhail Galkin
Jiliang Tang
AI4CE
141
44
0
03 Feb 2024
GITA: Graph to Visual and Textual Integration for Vision-Language Graph
  Reasoning
GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning
Yanbin Wei
Shuai Fu
Weisen Jiang
Zejian Zhang
Zhixiong Zeng
Qi Wu
James T. Kwok
Yu Zhang
82
16
0
03 Feb 2024
Generating In-Distribution Proxy Graphs for Explaining Graph Neural
  Networks
Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks
Zhuomin Chen
Jiaxing Zhang
Jingchao Ni
Xiaoting Li
Yuchen Bian
Md. Mezbahul Islam
A. Mondal
Hua Wei
Dongsheng Luo
92
3
0
03 Feb 2024
Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks
Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks
D. M. Nguyen
Nina Lukashina
Tai Nguyen
An T. Le
TrungTin Nguyen
Nhat Ho
Jan Peters
Daniel Sonntag
Viktor Zaverkin
Mathias Niepert
76
5
0
03 Feb 2024
Hypergraph-Transformer (HGT) for Interactive Event Prediction in Laparoscopic and Robotic Surgery
Hypergraph-Transformer (HGT) for Interactive Event Prediction in Laparoscopic and Robotic Surgery
Lianhao Yin
Yutong Ban
J. Eckhoff
O. Meireles
Daniela Rus
Guy Rosman
119
3
0
03 Feb 2024
Todyformer: Towards Holistic Dynamic Graph Transformers with
  Structure-Aware Tokenization
Todyformer: Towards Holistic Dynamic Graph Transformers with Structure-Aware Tokenization
Mahdi Biparva
Raika Karimi
Faezeh Faez
Yingxue Zhang
58
3
0
02 Feb 2024
Precedence-Constrained Winter Value for Effective Graph Data Valuation
Precedence-Constrained Winter Value for Effective Graph Data Valuation
Hongliang Chi
Wei Jin
Charu C. Aggarwal
Yao Ma
57
3
0
02 Feb 2024
TEDDY: Trimming Edges with Degree-based Discrimination strategY
TEDDY: Trimming Edges with Degree-based Discrimination strategY
Hyunjin Seo
Jihun Yun
Eunho Yang
86
1
0
02 Feb 2024
Two Heads Are Better Than One: Boosting Graph Sparse Training via
  Semantic and Topological Awareness
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
Guibin Zhang
Xinfeng Li
Kun Wang
Sihang Li
Yongduo Sui
Kai Wang
Yuxuan Liang
Dawei Cheng
Shirui Pan
Tianlong Chen
66
11
0
02 Feb 2024
Simulation of Graph Algorithms with Looped Transformers
Simulation of Graph Algorithms with Looped Transformers
George Giapitzakis
Kimon Fountoulakis
100
16
0
02 Feb 2024
DoseGNN: Improving the Performance of Deep Learning Models in Adaptive
  Dose-Volume Histogram Prediction through Graph Neural Networks
DoseGNN: Improving the Performance of Deep Learning Models in Adaptive Dose-Volume Histogram Prediction through Graph Neural Networks
Zehao Dong
Yixin Chen
Tianyu Zhao
OOD
65
2
0
02 Feb 2024
Spectrally Transformed Kernel Regression
Spectrally Transformed Kernel Regression
Runtian Zhai
Rattana Pukdee
Roger Jin
Maria-Florina Balcan
Pradeep Ravikumar
BDL
74
2
0
01 Feb 2024
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