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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 / 6,899 papers shown
Title
ProG: A Graph Prompt Learning Benchmark
ProG: A Graph Prompt Learning Benchmark
Chenyi Zi
Haihong Zhao
Xiangguo Sun
Yiqing Lin
Hong Cheng
Jia Li
134
13
0
08 Jun 2024
Online Frequency Scheduling by Learning Parallel Actions
Online Frequency Scheduling by Learning Parallel Actions
Anastasios Giovanidis
Mathieu Leconte
Sabrine Aroua
T. Kvernvik
David Sandberg
90
1
0
07 Jun 2024
Learning Divergence Fields for Shift-Robust Graph Representations
Learning Divergence Fields for Shift-Robust Graph Representations
Qitian Wu
Fan Nie
Chenxiao Yang
Junchi Yan
OOD
93
1
0
07 Jun 2024
SpanGNN: Towards Memory-Efficient Graph Neural Networks via Spanning
  Subgraph Training
SpanGNN: Towards Memory-Efficient Graph Neural Networks via Spanning Subgraph Training
Xizhi Gu
Hongzheng Li
Shihong Gao
Xinyan Zhang
Lei Chen
Yingxia Shao
GNN
51
0
0
07 Jun 2024
Graph Mining under Data scarcity
Graph Mining under Data scarcity
Appan Rakaraddi
Lam Siew-Kei
Mahardhika Pratama
Marcus Vinícius de Carvalho
BDL
82
0
0
07 Jun 2024
PANDORA: Deep graph learning based COVID-19 infection risk level
  forecasting
PANDORA: Deep graph learning based COVID-19 infection risk level forecasting
Shuo Yu
Xiwei Xu
Yueru Wang
Shihao Li
F. Febrinanto
Madhu Chetty
51
2
0
07 Jun 2024
FLUID-LLM: Learning Computational Fluid Dynamics with
  Spatiotemporal-aware Large Language Models
FLUID-LLM: Learning Computational Fluid Dynamics with Spatiotemporal-aware Large Language Models
Max Zhu
A. Bazaga
Pietro Liò
AI4CE
85
3
0
06 Jun 2024
Road Network Representation Learning with the Third Law of Geography
Road Network Representation Learning with the Third Law of Geography
Haicang Zhou
Weiming Huang
Yile Chen
Tiantian He
Gao Cong
Yew-Soon Ong
57
4
0
06 Jun 2024
Flexible ViG: Learning the Self-Saliency for Flexible Object Recognition
Flexible ViG: Learning the Self-Saliency for Flexible Object Recognition
Yongqi Ding
Kunshan Yang
Xianlong Tian
Kunbin He
Lin Zuo
Mengmeng Jing
73
1
0
06 Jun 2024
Stock Movement Prediction with Multimodal Stable Fusion via Gated
  Cross-Attention Mechanism
Stock Movement Prediction with Multimodal Stable Fusion via Gated Cross-Attention Mechanism
Chang Zong
Jian Shao
Weiming Lu
Yueting Zhuang
89
3
0
06 Jun 2024
PANDA: Expanded Width-Aware Message Passing Beyond Rewiring
PANDA: Expanded Width-Aware Message Passing Beyond Rewiring
Jeongwhan Choi
Sumin Park
Hyowon Wi
Sung-Bae Cho
Noseong Park
GNN
106
2
0
06 Jun 2024
Decision-focused Graph Neural Networks for Combinatorial Optimization
Decision-focused Graph Neural Networks for Combinatorial Optimization
Yang Liu
Chuan Zhou
Peng Zhang
Xiaojun Jia
Zhao Li
Hongyang Chen
GNNAI4CE
67
1
0
05 Jun 2024
Combining Graph Neural Network and Mamba to Capture Local and Global
  Tissue Spatial Relationships in Whole Slide Images
Combining Graph Neural Network and Mamba to Capture Local and Global Tissue Spatial Relationships in Whole Slide Images
Ruiwen Ding
Kha-Dinh Luong
Erika Rodriguez
Ana Cristina Araujo Lemos da Silva
William Hsu
Mamba
64
3
0
05 Jun 2024
Node-wise Filtering in Graph Neural Networks: A Mixture of Experts
  Approach
Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach
Haoyu Han
Juanhui Li
Wei Huang
Xianfeng Tang
Hanqing Lu
Chen Luo
Hui Liu
Jiliang Tang
125
8
0
05 Jun 2024
Mind's Eye: Image Recognition by EEG via Multimodal Similarity-Keeping
  Contrastive Learning
Mind's Eye: Image Recognition by EEG via Multimodal Similarity-Keeping Contrastive Learning
Chi-Sheng Chen
Chun-Shu Wei
76
10
0
05 Jun 2024
Learning Long Range Dependencies on Graphs via Random Walks
Learning Long Range Dependencies on Graphs via Random Walks
Dexiong Chen
Till Hendrik Schulz
Karsten Borgwardt
86
6
0
05 Jun 2024
Topological Neural Networks go Persistent, Equivariant, and Continuous
Topological Neural Networks go Persistent, Equivariant, and Continuous
Yogesh Verma
Amauri H Souza
Vikas Garg
AI4CE
78
6
0
05 Jun 2024
Continual Traffic Forecasting via Mixture of Experts
Continual Traffic Forecasting via Mixture of Experts
Sanghyun Lee
Chanyoung Park
CLL
88
4
0
05 Jun 2024
Enhancing the Resilience of Graph Neural Networks to Topological
  Perturbations in Sparse Graphs
Enhancing the Resilience of Graph Neural Networks to Topological Perturbations in Sparse Graphs
Shuqi He
Jun Zhuang
Ding Wang
Luyao Peng
Jun Song
AAML
81
1
0
05 Jun 2024
Efficient User Sequence Learning for Online Services via Compressed
  Graph Neural Networks
Efficient User Sequence Learning for Online Services via Compressed Graph Neural Networks
Yucheng Wu
Liyue Chen
Yu Cheng
Shuai Chen
Jinyu Xu
Leye Wang
GNN
108
0
0
05 Jun 2024
GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via
  Feature Alignment
GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via Feature Alignment
Zhenyu Hou
Haozhan Li
Yukuo Cen
Jie Tang
Yuxiao Dong
90
8
0
05 Jun 2024
Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs
Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs
Michael Scholkemper
Xinyi Wu
Ali Jadbabaie
Michael T. Schaub
221
9
0
05 Jun 2024
Singing Voice Graph Modeling for SingFake Detection
Singing Voice Graph Modeling for SingFake Detection
Xuanjun Chen
Haibin Wu
Jyh-Shing Roger Jang
Hung-yi Lee
47
11
0
05 Jun 2024
Hyperbolic Benchmarking Unveils Network Topology-Feature Relationship in
  GNN Performance
Hyperbolic Benchmarking Unveils Network Topology-Feature Relationship in GNN Performance
Roya Aliakbarisani
Robert Jankowski
M. Á. Serrano
Marián Boguná
80
0
0
04 Jun 2024
Temporal Graph Learning Recurrent Neural Network for Traffic Forecasting
Temporal Graph Learning Recurrent Neural Network for Traffic Forecasting
Sanghyun Lee
Chanyoung Park
AI4TS
81
0
0
04 Jun 2024
Temporal Graph Rewiring with Expander Graphs
Temporal Graph Rewiring with Expander Graphs
Katarina Petrović
Shenyang Huang
Farimah Poursafaei
Petar Velickovic
AI4CE
110
4
0
04 Jun 2024
AMOSL: Adaptive Modality-wise Structure Learning in Multi-view Graph
  Neural Networks For Enhanced Unified Representation
AMOSL: Adaptive Modality-wise Structure Learning in Multi-view Graph Neural Networks For Enhanced Unified Representation
Peiyu Liang
Hongchang Gao
Xubin He
65
0
0
04 Jun 2024
Using Explainable AI for EEG-based Reduced Montage Neonatal Seizure
  Detection
Using Explainable AI for EEG-based Reduced Montage Neonatal Seizure Detection
Dinuka Sandun Udayantha
Kavindu Weerasinghe
Nima Wickramasinghe
Akila Abeyratne
Kithmin Wickremasinghe
J. Wanigasinghe
Anjula De Silva
Chamira U. S. Edussooriya
69
2
0
04 Jun 2024
Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly
  with Large Language Models
Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models
Ruichao Yang
Wei Gao
Jing Ma
Hongzhan Lin
Bo Wang
54
1
0
04 Jun 2024
Graph Adversarial Diffusion Convolution
Graph Adversarial Diffusion Convolution
Songtao Liu
Jinghui Chen
Tianfan Fu
Lu Lin
Marinka Zitnik
Dinghao Wu
DiffM
97
1
0
04 Jun 2024
Multimodal Reasoning with Multimodal Knowledge Graph
Multimodal Reasoning with Multimodal Knowledge Graph
Junlin Lee
Yequan Wang
Jing Li
Min Zhang
98
23
0
04 Jun 2024
What Improves the Generalization of Graph Transformers? A Theoretical
  Dive into the Self-attention and Positional Encoding
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding
Hongkang Li
Meng Wang
Tengfei Ma
Sijia Liu
Zaixi Zhang
Pin-Yu Chen
MLTAI4CE
129
11
0
04 Jun 2024
The Intelligible and Effective Graph Neural Additive Networks
The Intelligible and Effective Graph Neural Additive Networks
Maya Bechler-Speicher
Amir Globerson
Ran Gilad-Bachrach
84
7
0
03 Jun 2024
Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDE
Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDE
Jiaxu Liu
Xinping Yi
Sihao Wu
Xiangyu Yin
Tianle Zhang
Xiaowei Huang
Shi Jin
88
1
0
03 Jun 2024
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters
Ya-Wei Eileen Lin
Ronen Talmon
Ron Levie
87
0
0
03 Jun 2024
MultiMax: Sparse and Multi-Modal Attention Learning
MultiMax: Sparse and Multi-Modal Attention Learning
Yuxuan Zhou
Mario Fritz
Margret Keuper
125
1
0
03 Jun 2024
Logical Reasoning with Relation Network for Inductive Knowledge Graph
  Completion
Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion
Qinggang Zhang
Keyu Duan
Junnan Dong
Pai Zheng
Xiao Huang
105
3
0
03 Jun 2024
Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph
Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph
Weihuang Zheng
Jiashuo Liu
Jiaxing Li
Jiayun Wu
Peng Cui
Youyong Kong
OOD
78
1
0
03 Jun 2024
LLM and GNN are Complementary: Distilling LLM for Multimodal Graph
  Learning
LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning
Junjie Xu
Zongyu Wu
Min Lin
Xiang Zhang
Suhang Wang
108
18
0
03 Jun 2024
State Space Models on Temporal Graphs: A First-Principles Study
State Space Models on Temporal Graphs: A First-Principles Study
Jintang Li
Ruofan Wu
Xinzhou Jin
Boqun Ma
Liang Chen
Zibin Zheng
116
6
0
03 Jun 2024
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement
Wenjing Chang
Kay Liu
Philip S. Yu
Jianjun Yu
136
2
0
03 Jun 2024
IENE: Identifying and Extrapolating the Node Environment for
  Out-of-Distribution Generalization on Graphs
IENE: Identifying and Extrapolating the Node Environment for Out-of-Distribution Generalization on Graphs
Haoran Yang
Xiaobing Pei
Kai Yuan
113
0
0
02 Jun 2024
GLADformer: A Mixed Perspective for Graph-level Anomaly Detection
GLADformer: A Mixed Perspective for Graph-level Anomaly Detection
Fan Xu
Nan Wang
Hao Wu
Xuezhi Wen
Dalin Zhang
Siyang Lu
Binyong Li
Wei Gong
Hai Wan
Xibin Zhao
111
1
0
02 Jun 2024
Graph Neural Network Training Systems: A Performance Comparison of
  Full-Graph and Mini-Batch
Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch
Saurabh Bajaj
Hui Guan
Marco Serafini
GNN
94
3
0
01 Jun 2024
GATE: How to Keep Out Intrusive Neighbors
GATE: How to Keep Out Intrusive Neighbors
Nimrah Mustafa
R. Burkholz
121
1
0
01 Jun 2024
Posterior Label Smoothing for Node Classification
Posterior Label Smoothing for Node Classification
Jaeseung Heo
M. Park
Dongwoo Kim
UQCV
82
0
0
01 Jun 2024
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
Ocheme Anthony Ekle
William Eberle
AI4TS
100
11
0
31 May 2024
Graph External Attention Enhanced Transformer
Graph External Attention Enhanced Transformer
Jianqing Liang
Min Chen
Jiye Liang
85
2
0
31 May 2024
Towards Spoken Language Understanding via Multi-level Multi-grained
  Contrastive Learning
Towards Spoken Language Understanding via Multi-level Multi-grained Contrastive Learning
Xuxin Cheng
Wanshi Xu
Zhihong Zhu
Hongxiang Li
Yuexian Zou
108
13
0
31 May 2024
Learning on Large Graphs using Intersecting Communities
Learning on Large Graphs using Intersecting Communities
Ben Finkelshtein
.Ismail .Ilkan Ceylan
Michael M. Bronstein
Ron Levie
GNN
79
6
0
31 May 2024
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