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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 / 6,898 papers shown
Title
Recent Advances in Malware Detection: Graph Learning and Explainability
Recent Advances in Malware Detection: Graph Learning and Explainability
Hossein Shokouhinejad
Roozbeh Razavi-Far
Hesamodin Mohammadian
Mahdi Rabbani
Samuel Ansong
Griffin Higgins
Ali Ghorbani
AAML
137
2
0
14 Feb 2025
Simple Path Structural Encoding for Graph Transformers
Simple Path Structural Encoding for Graph Transformers
Louis Airale
Antonio Longa
Mattia Rigon
Andrea Passerini
Roberto Passerone
195
0
0
13 Feb 2025
Enhancing the Utility of Higher-Order Information in Relational Learning
Enhancing the Utility of Higher-Order Information in Relational Learning
Raphael Pellegrin
Lukas Fesser
Melanie Weber
169
0
0
13 Feb 2025
Machine learning for modelling unstructured grid data in computational physics: a review
Machine learning for modelling unstructured grid data in computational physics: a review
Sibo Cheng
Marc Bocquet
Weiping Ding
Tobias S. Finn
Rui Fu
...
Yong Zeng
Mingrui Zhang
Hao Zhou
Kewei Zhu
Rossella Arcucci
PINNAI4CE
161
3
0
13 Feb 2025
Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence
Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence
Yuankai Luo
Lei Shi
Xiao-Ming Wu
AI4CE
234
0
0
13 Feb 2025
Biologically Plausible Brain Graph Transformer
Biologically Plausible Brain Graph Transformer
Ciyuan Peng
Yuelong Huang
Qichao Dong
Shuo Yu
Xiwei Xu
Chengqi Zhang
Yaochu Jin
121
1
0
13 Feb 2025
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection
Karish Grover
Geoffrey J. Gordon
Christos Faloutsos
127
0
0
12 Feb 2025
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation
Xiangjin Xie
Yiran Chen
Ruipeng Wang
Kai Ouyang
Zihan Zhang
...
Buyue Qian
Hansen Zheng
Bo Hu
Chengxiang Zhuo
Zang Li
121
3
0
12 Feb 2025
Enhanced Load Forecasting with GAT-LSTM: Leveraging Grid and Temporal Features
Enhanced Load Forecasting with GAT-LSTM: Leveraging Grid and Temporal Features
Ugochukwu Orji
Çiçek Güven
Dan Stowell
AI4TS
64
0
0
12 Feb 2025
LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search
LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search
Yang Gao
Hong Yang
Y. Chen
Junxian Wu
Peng Zhang
Haishuai Wang
84
1
0
12 Feb 2025
Rethinking Tokenized Graph Transformers for Node Classification
Rethinking Tokenized Graph Transformers for Node Classification
Jinsong Chen
Chenyang Li
Gaichao Li
John E. Hopcroft
Kun He
142
1
0
12 Feb 2025
Deep Semantic Graph Learning via LLM based Node Enhancement
Deep Semantic Graph Learning via LLM based Node Enhancement
Chuanqi Shi
Yiyi Tao
Hang Zhang
Lun Wang
Shaoshuai Du
Yixian Shen
Yanxin Shen
133
3
0
11 Feb 2025
DeepMill: Neural Accessibility Learning for Subtractive Manufacturing
Fanchao Zhong
Yang Wang
Peng Wang
Lin Lu
Haisen Zhao
HAI
97
0
0
10 Feb 2025
RelGNN: Composite Message Passing for Relational Deep Learning
RelGNN: Composite Message Passing for Relational Deep Learning
Tianlang Chen
Charilaos I. Kanatsoulis
Jure Leskovec
GNNAI4CE
83
4
0
10 Feb 2025
What makes a good feedforward computational graph?
What makes a good feedforward computational graph?
Alex Vitvitskyi
J. G. Araújo
Marc Lackenby
Petar Velickovic
129
3
0
10 Feb 2025
Prompt-Driven Continual Graph Learning
Prompt-Driven Continual Graph Learning
Qi Wang
Tianfei Zhou
Ye Yuan
Rui Mao
CLL
142
0
0
10 Feb 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
Danny Wang
Ruihong Qiu
Guangdong Bai
Zi Huang
403
4
0
09 Feb 2025
Norm Augmented Graph AutoEncoders for Link Prediction
Yunhui Liu
Huaisong Zhang
Xinyi Gao
Liuye Guo
Zhen Tao
Tieke He
58
0
0
09 Feb 2025
Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities
Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities
Ding Hu
Pengxiang Hua
Zhen Huang
250
0
0
09 Feb 2025
LRA-GNN: Latent Relation-Aware Graph Neural Network with Initial and Dynamic Residual for Facial Age Estimation
Yiping Zhang
Yuntao Shou
Wei Ai
Tao Meng
Keqin Li
CVBM
120
1
0
08 Feb 2025
Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning
Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning
Chengkai Han
Jingyuan Wang
Y. Wang
Xie Yu
Hao Lin
Chao Li
Junjie Wu
AI4TS
100
1
0
08 Feb 2025
FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation
FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation
Shilong Zhang
Wenbo Li
Shoufa Chen
Chongjian Ge
Peize Sun
Yunke Zhang
Yi Jiang
Zehuan Yuan
Binyue Peng
Ping Luo
DiffMVGen
228
6
0
07 Feb 2025
Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks
Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks
Niccolò Grillo
Andrea Toccaceli
Joël Mathys
Benjamin Estermann
Stefania Fresca
Roger Wattenhofer
AI4CELRM
288
0
0
06 Feb 2025
Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models
Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models
Rui Cai
Chao Wang
Qianyi Cai
Dazhong Shen
Hui Xiong
RALM
132
0
0
06 Feb 2025
FactorGCL: A Hypergraph-Based Factor Model with Temporal Residual Contrastive Learning for Stock Returns Prediction
FactorGCL: A Hypergraph-Based Factor Model with Temporal Residual Contrastive Learning for Stock Returns Prediction
Yitong Duan
Weiran Wang
Jian Li
87
0
0
05 Feb 2025
Prediction of the Most Fire-Sensitive Point in Building Structures with Differentiable Agents for Thermal Simulators
Prediction of the Most Fire-Sensitive Point in Building Structures with Differentiable Agents for Thermal Simulators
Yuan Xinjie
Khalid M. Mosalam
AI4CE
96
0
0
05 Feb 2025
Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation
Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation
Zhen Zhang
Bingsheng He
271
2
0
05 Feb 2025
EdgeGFL: Rethinking Edge Information in Graph Feature Preference Learning
EdgeGFL: Rethinking Edge Information in Graph Feature Preference Learning
Shengda Zhuo
Jiwang Fang
Hongguang Lin
Yin Tang
Min Chen
Changdong Wang
Shuqiang Huang
76
0
0
04 Feb 2025
Query-Based and Unnoticeable Graph Injection Attack from Neighborhood Perspective
Query-Based and Unnoticeable Graph Injection Attack from Neighborhood Perspective
Chang Liu
Hai Huang
Yujie Xing
Xingquan Zuo
AAML
84
0
0
04 Feb 2025
Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction
Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction
Ruochen Li
Tanqiu Qiao
Stamos Katsigiannis
Zhanxing Zhu
Hubert P. H. Shum
AI4TS
121
4
0
04 Feb 2025
Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment
Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment
Shuo Wang
Bokui Wang
Zhixiang Shen
Boyan Deng
Zhao Kang
211
2
0
04 Feb 2025
No Metric to Rule Them All: Toward Principled Evaluations of Graph-Learning Datasets
No Metric to Rule Them All: Toward Principled Evaluations of Graph-Learning Datasets
Corinna Coupette
Jeremy Wayland
Emily Simons
Bastian Rieck
172
3
0
04 Feb 2025
Towards graph neural networks for provably solving convex optimization problems
Towards graph neural networks for provably solving convex optimization problems
Chendi Qian
Christopher Morris
92
1
0
04 Feb 2025
Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks
Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks
HongXin Xie
Jiande Sun
Yi Shao
Shuai Li
Sujuan Hou
YuLong Sun
Jinqiao Wang
78
1
0
03 Feb 2025
GNN-DT: Graph Neural Network Enhanced Decision Transformer for Efficient Optimization in Dynamic Environments
GNN-DT: Graph Neural Network Enhanced Decision Transformer for Efficient Optimization in Dynamic Environments
Stavros Orfanoudakis
Nanda Kishor Panda
Peter Palensky
Pedro P. Vergara
AI4CE
156
0
0
03 Feb 2025
Enhancing Environmental Robustness in Few-shot Learning via Conditional Representation Learning
Enhancing Environmental Robustness in Few-shot Learning via Conditional Representation Learning
Qianyu Guo
Jingrong Wu
Tianxing Wu
Hongru Wang
Weifeng Ge
Wenqiang Zhang
53
0
0
03 Feb 2025
UPL: Uncertainty-aware Pseudo-labeling for Imbalance Transductive Node Classification
UPL: Uncertainty-aware Pseudo-labeling for Imbalance Transductive Node Classification
Mohammad T. Teimuri
Zahra Dehghanian
Gholamali Aminian
Hamid R. Rabiee
106
0
0
02 Feb 2025
BrainOOD: Out-of-distribution Generalizable Brain Network Analysis
BrainOOD: Out-of-distribution Generalizable Brain Network Analysis
Jiaxing Xu
Yongqiang Chen
Xia Dong
Mengcheng Lan
Tiancheng Huang
Qingtian Bian
James Cheng
Yiping Ke
OOD
119
2
0
02 Feb 2025
AGNNCert: Defending Graph Neural Networks against Arbitrary Perturbations with Deterministic Certification
AGNNCert: Defending Graph Neural Networks against Arbitrary Perturbations with Deterministic Certification
Jiate Li
Binghui Wang
AAML
121
2
0
02 Feb 2025
Leveraging Joint Predictive Embedding and Bayesian Inference in Graph Self Supervised Learning
Leveraging Joint Predictive Embedding and Bayesian Inference in Graph Self Supervised Learning
Srinitish Srinivasan
Omkumar CU
SSLBDL
155
0
0
02 Feb 2025
DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale
DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale
Ziyang Zheng
Shan Huang
Jianyuan Zhong
Zhengyuan Shi
Guohao Dai
Ningyi Xu
Qiang Xu
GNN
149
4
0
02 Feb 2025
GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture
GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture
Md Atik Ahamed
Andrew Cheng
Qiang Ye
Q. Cheng
GNN
104
0
0
01 Feb 2025
Multi-Order Hyperbolic Graph Convolution and Aggregated Attention for Social Event Detection
Multi-Order Hyperbolic Graph Convolution and Aggregated Attention for Social Event Detection
Yao Liu
Zhilan Liu
Tien Ping Tan
Yuxin Li
129
0
0
01 Feb 2025
Spectro-Riemannian Graph Neural Networks
Spectro-Riemannian Graph Neural Networks
Karish Grover
Haiyang Yu
Xiang Song
Qi Zhu
Han Xie
V. Ioannidis
Christos Faloutsos
150
1
0
01 Feb 2025
Generic Multimodal Spatially Graph Network for Spatially Embedded Network Representation Learning
Generic Multimodal Spatially Graph Network for Spatially Embedded Network Representation Learning
Xudong Fan
Jürgen Hackl
115
0
0
01 Feb 2025
LiDAR Loop Closure Detection using Semantic Graphs with Graph Attention Networks
LiDAR Loop Closure Detection using Semantic Graphs with Graph Attention Networks
Liudi Yang
Ruben Mascaro
Ignacio Alzugaray
Sai Manoj Prakhya
Marco Karrer
Ziyuan Liu
M. Chli
3DPC
149
1
0
31 Jan 2025
Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks
Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks
Lars C.P.M. Quaedvlieg
105
0
0
31 Jan 2025
Gradual Domain Adaptation for Graph Learning
Gradual Domain Adaptation for Graph Learning
Pui Ieng Lei
Ximing Chen
Yijun Sheng
Yanyan Liu
J. Guo
Zhiguo Gong
OOD
125
0
0
29 Jan 2025
Rethinking Functional Brain Connectome Analysis: Do Graph Deep Learning Models Help?
Rethinking Functional Brain Connectome Analysis: Do Graph Deep Learning Models Help?
Keqi Han
Yao Su
Lifang He
Liang Zhan
Sergey Plis
Vince D. Calhoun
Carl Yang
AI4CE
112
1
0
28 Jan 2025
Chinese Stock Prediction Based on a Multi-Modal Transformer Framework: Macro-Micro Information Fusion
Chinese Stock Prediction Based on a Multi-Modal Transformer Framework: Macro-Micro Information Fusion
Lumen AI
Tengzhou No. 1 Middle School
Shihao Ji
Zihui Song
Fucheng Zhong
Jisen Jia
Zhaobo Wu
Zheyi Cao
Xu Tianhao
82
0
0
28 Jan 2025
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