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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
Steerable Transformers for Volumetric Data
Steerable Transformers for Volumetric Data
Soumyabrata Kundu
Risi Kondor
LLMSVViT
114
1
0
24 May 2024
Message-Passing Monte Carlo: Generating low-discrepancy point sets via
  Graph Neural Networks
Message-Passing Monte Carlo: Generating low-discrepancy point sets via Graph Neural Networks
T. Konstantin Rusch
Nathan Kirk
M. Bronstein
Christiane Lemieux
Daniela Rus
101
7
0
23 May 2024
Explainable Few-shot Knowledge Tracing
Explainable Few-shot Knowledge Tracing
Haoxuan Li
Jifan Yu
Y. Ouyang
Zhuang Liu
Wenge Rong
Juan-Zi Li
Zhang Xiong
69
3
0
23 May 2024
Reliable Trajectory Prediction and Uncertainty Quantification with
  Conditioned Diffusion Models
Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models
Marion Neumeier
Sebastian Dorn
M. Botsch
Wolfgang Utschick
DiffM
127
5
0
23 May 2024
Explaining Graph Neural Networks via Structure-aware Interaction Index
Explaining Graph Neural Networks via Structure-aware Interaction Index
Ngoc H. Bui
Hieu Trung Nguyen
Viet Anh Nguyen
Rex Ying
FAtt
76
4
0
23 May 2024
AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation
AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation
Weigang Lu
Ziyu Guan
Wei Zhao
Yaming Yang
73
4
0
23 May 2024
Similarity-Navigated Conformal Prediction for Graph Neural Networks
Similarity-Navigated Conformal Prediction for Graph Neural Networks
Jianqing Song
Jianguo Huang
Wenyu Jiang
Baoming Zhang
Shuangjie Li
Chongjun Wang
108
3
0
23 May 2024
Graphcode: Learning from multiparameter persistent homology using graph
  neural networks
Graphcode: Learning from multiparameter persistent homology using graph neural networks
Michael Kerber
Florian Russold
AI4TSAI4CE
53
7
0
23 May 2024
Co-Representation Neural Hypergraph Diffusion for Edge-Dependent Node
  Classification
Co-Representation Neural Hypergraph Diffusion for Edge-Dependent Node Classification
Yijia Zheng
Marcel Worring
DiffM
74
3
0
23 May 2024
GCondenser: Benchmarking Graph Condensation
GCondenser: Benchmarking Graph Condensation
Yilun Liu
Ruihong Qiu
Zi Huang
DD
87
8
0
23 May 2024
GLaD: Synergizing Molecular Graphs and Language Descriptors for Enhanced
  Power Conversion Efficiency Prediction in Organic Photovoltaic Devices
GLaD: Synergizing Molecular Graphs and Language Descriptors for Enhanced Power Conversion Efficiency Prediction in Organic Photovoltaic Devices
Thao Nguyen
Tiara Torres-Flores
Changhyun Hwang
Carl Edwards
Ying Diao
Heng Ji
63
0
0
23 May 2024
Investigation of Customized Medical Decision Algorithms Utilizing Graph
  Neural Networks
Investigation of Customized Medical Decision Algorithms Utilizing Graph Neural Networks
Yafeng Yan
Shuyao He
Zhou Yu
Jiajie Yuan
Ziang Liu
Yan Chen
79
11
0
23 May 2024
Attending to Topological Spaces: The Cellular Transformer
Attending to Topological Spaces: The Cellular Transformer
Rubén Ballester
Pablo Hernández-García
Mathilde Papillon
Claudio Battiloro
Nina Miolane
Tolga Birdal
Carles Casacuberta
Sergio Escalera
Mustafa Hajij
102
5
0
23 May 2024
A Survey on Vision-Language-Action Models for Embodied AI
A Survey on Vision-Language-Action Models for Embodied AI
Yueen Ma
Zixing Song
Yuzheng Zhuang
Jianye Hao
Irwin King
LM&Ro
333
54
0
23 May 2024
Deep Learning Methods for Adjusting Global MFD Speed Estimations to Local Link Configurations
Deep Learning Methods for Adjusting Global MFD Speed Estimations to Local Link Configurations
Zhixiong Jin
Dimitrios Tsitsokas
Nikolas Geroliminis
Ludovic Leclercq
77
0
0
23 May 2024
HeteGraph-Mamba: Heterogeneous Graph Learning via Selective State Space
  Model
HeteGraph-Mamba: Heterogeneous Graph Learning via Selective State Space Model
Zhenyu Pan
Yoonsung Jeong
Xiaoda Liu
Han Liu
81
1
0
22 May 2024
LOGIN: A Large Language Model Consulted Graph Neural Network Training
  Framework
LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework
Yiran Qiao
Xiang Ao
Yang Liu
Jiarong Xu
Xiaoqian Sun
Qing He
98
4
0
22 May 2024
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition
Xin Gao
Tong Chen
Wentao Zhang
Junliang Yu
Guanhua Ye
Quoc Viet Hung Nguyen
145
8
0
22 May 2024
Bond Graphs for multi-physics informed Neural Networks for multi-variate
  time series
Bond Graphs for multi-physics informed Neural Networks for multi-variate time series
Alexis-Raja Brachet
Pierre-Yves Richard
Céline Hudelot
AI4CE
84
0
0
22 May 2024
Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks
Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks
Shuai Wang
David W. Zhang
Jia-Hong Huang
Stevan Rudinac
Monika Kackovic
Nachoem Wijnberg
Marcel Worring
60
1
0
22 May 2024
RemoCap: Disentangled Representation Learning for Motion Capture
RemoCap: Disentangled Representation Learning for Motion Capture
Hongsheng Wang
Lizao Zhang
Zhangnan Zhong
Shuolin Xu
Xinrui Zhou
Shengyu Zhang
Huahao Xu
Leilei Gan
Feng Lin
109
0
0
21 May 2024
Unleash Graph Neural Networks from Heavy Tuning
Unleash Graph Neural Networks from Heavy Tuning
Lequan Lin
Dai Shi
Andi Han
Zhiyong Wang
Junbin Gao
AI4CE
86
2
0
21 May 2024
GASE: Graph Attention Sampling with Edges Fusion for Solving Vehicle
  Routing Problems
GASE: Graph Attention Sampling with Edges Fusion for Solving Vehicle Routing Problems
Zhenwei Wang
Ruibin Bai
Fazlullah Khan
Ender Özcan
Tiehua Zhang
GNN
99
2
0
21 May 2024
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks:
  Heterophily, Over-smoothing, and Over-squashing
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing
Keke Huang
Yu Guang Wang
Ming Li
Pietro Lio
125
30
0
21 May 2024
Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks
Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks
Marcin Podhajski
Jan Dubiñski
Franziska Boenisch
Adam Dziedzic
Agnieszka Pregowska
Tomasz Michalak
88
2
0
20 May 2024
Towards Graph Contrastive Learning: A Survey and Beyond
Towards Graph Contrastive Learning: A Survey and Beyond
Wei Ju
Yifan Wang
Yifang Qin
Zhengyan Mao
Zhiping Xiao
...
Dongjie Wang
Qingqing Long
Siyu Yi
Xiao Luo
Ming Zhang
159
20
0
20 May 2024
LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph
  Clustering
LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering
Li Sun
Zhenhao Huang
Hao Peng
Yujie Wang
Chunyang Liu
Philip S. Yu
GNN
86
11
0
20 May 2024
Conditional Shift-Robust Conformal Prediction for Graph Neural Network
Conditional Shift-Robust Conformal Prediction for Graph Neural Network
Akansha Agrawal
UQCV
255
1
0
20 May 2024
DSAM: A Deep Learning Framework for Analyzing Temporal and Spatial
  Dynamics in Brain Networks
DSAM: A Deep Learning Framework for Analyzing Temporal and Spatial Dynamics in Brain Networks
Bishal Thapaliya
Robyn L. Miller
Jiayu Chen
Yu-Ping Wang
Esra Akbas
...
Bhaskar Ray
Pranav Suresh
Santosh Ghimire
Vince D. Calhoun
Jingyu Liu
53
10
0
19 May 2024
SeBot: Structural Entropy Guided Multi-View Contrastive Learning for
  Social Bot Detection
SeBot: Structural Entropy Guided Multi-View Contrastive Learning for Social Bot Detection
Yingguang Yang
Qi Wu
Buyun He
Hao Peng
Renyu Yang
Zhifeng Hao
Yong Liao
AAML
103
9
0
18 May 2024
Towards Knowledge-Infused Automated Disease Diagnosis Assistant
Towards Knowledge-Infused Automated Disease Diagnosis Assistant
Mohit Tomar
Abhisek Tiwari
Sriparna Saha
MedIm
56
3
0
18 May 2024
Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective
Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective
Zhiwei Zhang
Min Lin
Enyan Dai
Suhang Wang
AAML
64
16
0
17 May 2024
Harnessing Collective Structure Knowledge in Data Augmentation for Graph
  Neural Networks
Harnessing Collective Structure Knowledge in Data Augmentation for Graph Neural Networks
Rongrong Ma
Guansong Pang
Ling-Hao Chen
AI4CE
93
0
0
17 May 2024
Multi-Evidence based Fact Verification via A Confidential Graph Neural
  Network
Multi-Evidence based Fact Verification via A Confidential Graph Neural Network
Yuqing Lan
Zhenghao Liu
Yu Gu
Xiaoyuan Yi
Xiaohua Li
Liner Yang
Ge Yu
84
1
0
17 May 2024
Historically Relevant Event Structuring for Temporal Knowledge Graph Reasoning
Historically Relevant Event Structuring for Temporal Knowledge Graph Reasoning
Jinchuan Zhang
Bei Hui
Chong Mu
Ming Sun
Quanjiang Guo
Ling Tian
129
1
0
17 May 2024
ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph
  Neural Networks
ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks
Zhehan Zhao
Lu Bai
Lixin Cui
Ming Li
Yue Wang
Lixiang Xu
Edwin R. Hancock
95
3
0
16 May 2024
Hierarchical Attention Graph for Scientific Document Summarization in
  Global and Local Level
Hierarchical Attention Graph for Scientific Document Summarization in Global and Local Level
Chenlong Zhao
Xiwen Zhou
Xiaopeng Xie
Yong Zhang
74
5
0
16 May 2024
Towards Consistent and Explainable Motion Prediction using Heterogeneous
  Graph Attention
Towards Consistent and Explainable Motion Prediction using Heterogeneous Graph Attention
Tobias Demmler
Andreas Tamke
Thao Dang
Karsten Haug
Lars Mikelsons
58
3
0
16 May 2024
DemOpts: Fairness corrections in COVID-19 case prediction models
DemOpts: Fairness corrections in COVID-19 case prediction models
N. Awasthi
S. Abrar
Daniel Smolyak
Vanessa Frias-Martinez
58
0
0
15 May 2024
Learning Generalized Medical Image Representations through Image-Graph
  Contrastive Pretraining
Learning Generalized Medical Image Representations through Image-Graph Contrastive Pretraining
Sameer Tajdin Khanna
Daniel J. Michael
Marinka Zitnik
Pranav Rajpurkar
SSLMedIm
59
1
0
15 May 2024
Positional Knowledge is All You Need: Position-induced Transformer (PiT)
  for Operator Learning
Positional Knowledge is All You Need: Position-induced Transformer (PiT) for Operator Learning
Junfeng Chen
Kailiang Wu
70
4
0
15 May 2024
drGAT: Attention-Guided Gene Assessment of Drug Response Utilizing a
  Drug-Cell-Gene Heterogeneous Network
drGAT: Attention-Guided Gene Assessment of Drug Response Utilizing a Drug-Cell-Gene Heterogeneous Network
Yoshitaka Inoue
Hunmin Lee
Tianfan Fu
Augustin Luna
107
7
0
14 May 2024
Growing Artificial Neural Networks for Control: the Role of Neuronal
  Diversity
Growing Artificial Neural Networks for Control: the Role of Neuronal Diversity
Eleni Nisioti
Erwan Plantec
Milton L. Montero
J. Pedersen
Sebastian Risi
62
3
0
14 May 2024
When factorization meets argumentation: towards argumentative
  explanations
When factorization meets argumentation: towards argumentative explanations
Jinfeng Zhong
E. Negre
FAtt
53
0
0
13 May 2024
DynLLM: When Large Language Models Meet Dynamic Graph Recommendation
DynLLM: When Large Language Models Meet Dynamic Graph Recommendation
Ziwei Zhao
Fake Lin
Xi Zhu
Zhi Zheng
Tong Xu
Shitian Shen
Xueying Li
Zikai Yin
Enhong Chen
54
8
0
13 May 2024
OXYGENERATOR: Reconstructing Global Ocean Deoxygenation Over a Century
  with Deep Learning
OXYGENERATOR: Reconstructing Global Ocean Deoxygenation Over a Century with Deep Learning
Bin Lu
Ze Zhao
Luyu Han
Xiaoying Gan
Yuntao Zhou
Lei Zhou
Luoyi Fu
Xinbing Wang
Cheng Zhou
Jing Zhang
AI4ClAI4CE
80
3
0
12 May 2024
Fair Graph Representation Learning via Sensitive Attribute
  Disentanglement
Fair Graph Representation Learning via Sensitive Attribute Disentanglement
Yuchang Zhu
Jintang Li
Zibin Zheng
Liang Chen
57
3
0
11 May 2024
Design Requirements for Human-Centered Graph Neural Network Explanations
Design Requirements for Human-Centered Graph Neural Network Explanations
Pantea Habibi
Peyman Baghershahi
Sourav Medya
Debaleena Chattopadhyay
71
1
0
11 May 2024
CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous
  Information Network
CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous Information Network
Chenglin Li
Yuanzhen Xie
Chenyun Yu
Lei Cheng
Bo Hu
Zang Li
Di Niu
55
0
0
11 May 2024
G-FARS: Gradient-Field-based Auto-Regressive Sampling for 3D Part
  Grouping
G-FARS: Gradient-Field-based Auto-Regressive Sampling for 3D Part Grouping
Junfeng Cheng
Tania Stathaki
44
1
0
10 May 2024
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