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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
Spatial-temporal Graph Based Multi-channel Speaker Verification With
  Ad-hoc Microphone Arrays
Spatial-temporal Graph Based Multi-channel Speaker Verification With Ad-hoc Microphone Arrays
Yijiang Chen
Chen Liang
Xiao-Lei Zhang
49
1
0
03 Jul 2023
ENGAGE: Explanation Guided Data Augmentation for Graph Representation
  Learning
ENGAGE: Explanation Guided Data Augmentation for Graph Representation Learning
Yucheng Shi
Kaixiong Zhou
Ninghao Liu
101
12
0
03 Jul 2023
Temporal Graph Benchmark for Machine Learning on Temporal Graphs
Temporal Graph Benchmark for Machine Learning on Temporal Graphs
Shenyang Huang
Farimah Poursafaei
Jacob Danovitch
Matthias Fey
Weihua Hu
Emanuele Rossi
J. Leskovec
Michael M. Bronstein
Guillaume Rabusseau
Reihaneh Rabbany
103
97
0
03 Jul 2023
A Survey on Graph Classification and Link Prediction based on GNN
A Survey on Graph Classification and Link Prediction based on GNN
Xingyu Liu
Juan Chen
Q. Wen
GNN
101
13
0
03 Jul 2023
Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal
  Brain Functional Connectome Embedding
Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal Brain Functional Connectome Embedding
Zijian Dong
Yilei Wu
Yu Xiao
J. Chong
Yueming Jin
J. Zhou
MedIm
57
6
0
03 Jul 2023
GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for
  DAG Task Scheduling over Dynamic Vehicular Clouds
GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for DAG Task Scheduling over Dynamic Vehicular Clouds
Zhang Liu
Lianfeng Huang
Zhibin Gao
Manman Luo
Seyyedali Hosseinalipour
H. Dai
GNN
64
20
0
03 Jul 2023
Graph-level Anomaly Detection via Hierarchical Memory Networks
Graph-level Anomaly Detection via Hierarchical Memory Networks
Chaoxi Niu
Guansong Pang
Ling-Hao Chen
107
17
0
03 Jul 2023
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series
  Anomaly Detection
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection
Yuhang Chen
Chen Zhang
Minghua Ma
Yudong Liu
Ruomeng Ding
Yue Liu
Shilin He
Saravan Rajmohan
Qingwei Lin
Dongmei Zhang
DiffM
95
52
0
03 Jul 2023
Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal
  Modeling
Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling
Ziyue Li
Yuchen Fang
You Li
Kan Ren
Yansen Wang
Xufang Luo
Juanyong Duan
Congrui Huang
Dongsheng Li
Lili Qiu
58
7
0
02 Jul 2023
Shared Growth of Graph Neural Networks via Prompted Free-direction
  Knowledge Distillation
Shared Growth of Graph Neural Networks via Prompted Free-direction Knowledge Distillation
Kaituo Feng
Yikun Miao
Changsheng Li
Ye Yuan
Guoren Wang
121
0
0
02 Jul 2023
SUGAR: Spherical Ultrafast Graph Attention Framework for Cortical
  Surface Registration
SUGAR: Spherical Ultrafast Graph Attention Framework for Cortical Surface Registration
Jianxun Ren
Ning An
Youjia Zhang
Danyang Wang
Zhenyu Sun
...
Qingyu Hu
P. Zhang
D. Hu
Danhong Wang
Hesheng Liu
69
4
0
02 Jul 2023
STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural
  Networks for Traffic Prediction
STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction
Xunlian Luo
Chunjiang Zhu
Detian Zhang
Qing Li
GNNAI4TS
109
7
0
02 Jul 2023
Human-to-Human Interaction Detection
Human-to-Human Interaction Detection
Zhenhua Wang
Kaining Ying
Jiajun Meng
J. Ning
81
2
0
02 Jul 2023
Spatial-Temporal Graph Enhanced DETR Towards Multi-Frame 3D Object
  Detection
Spatial-Temporal Graph Enhanced DETR Towards Multi-Frame 3D Object Detection
Yifan Zhang
Zhiyu Zhu
Junhui Hou
Dapeng Wu
121
8
0
01 Jul 2023
Single Sequence Prediction over Reasoning Graphs for Multi-hop QA
Single Sequence Prediction over Reasoning Graphs for Multi-hop QA
Gowtham Ramesh
Makesh Narsimhan Sreedhar
Junjie Hu
107
7
0
01 Jul 2023
InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph
  Neural Network over Huge Graphs
InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge Graphs
Dalong Zhang
Xianzheng Song
Zhiyang Hu
Yang Li
Miao Tao
Binbin Hu
Lin Wang
Qing Cui
Jun Zhou
GNN
57
4
0
01 Jul 2023
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous
  Graph Diffusion Functionals
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals
Tingting Dan
Jiaqi Ding
Ziquan Wei
S. Kovalsky
Minjeong Kim
Won Hwa Kim
Guorong Wu
DiffM
54
6
0
01 Jul 2023
Generalization Limits of Graph Neural Networks in Identity Effects
  Learning
Generalization Limits of Graph Neural Networks in Identity Effects Learning
Giuseppe Alessio D’Inverno
Simone Brugiapaglia
Mirco Ravanelli
73
3
0
30 Jun 2023
Why Deep Models Often cannot Beat Non-deep Counterparts on Molecular
  Property Prediction?
Why Deep Models Often cannot Beat Non-deep Counterparts on Molecular Property Prediction?
Jun Xia
Lecheng Zhang
Xiao Zhu
Stan Z. Li
108
4
0
30 Jun 2023
MeLM, a generative pretrained language modeling framework that solves
  forward and inverse mechanics problems
MeLM, a generative pretrained language modeling framework that solves forward and inverse mechanics problems
Markus J. Buehler
AI4CE
110
43
0
30 Jun 2023
Graphtester: Exploring Theoretical Boundaries of GNNs on Graph Datasets
Graphtester: Exploring Theoretical Boundaries of GNNs on Graph Datasets
Eren Akbiyik
Florian Grötschla
Béni Egressy
Roger Wattenhofer
41
2
0
30 Jun 2023
Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters
Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters
Ahmed Begga
Francisco Escolano
M. Lozano
Edwin R. Hancock
86
2
0
29 Jun 2023
Accelerating Sampling and Aggregation Operations in GNN Frameworks with
  GPU Initiated Direct Storage Accesses
Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses
Jeongmin Brian Park
Vikram Sharma Mailthody
Zaid Qureshi
Wen-mei W. Hwu
GNN
81
14
0
28 Jun 2023
Enhancing Dialogue Generation via Dynamic Graph Knowledge Aggregation
Enhancing Dialogue Generation via Dynamic Graph Knowledge Aggregation
Chen Tang
Hongbo Zhang
Tyler Loakman
Chenghua Lin
Frank Guerin
88
24
0
28 Jun 2023
Learning Dynamic Graphs from All Contextual Information for Accurate
  Point-of-Interest Visit Forecasting
Learning Dynamic Graphs from All Contextual Information for Accurate Point-of-Interest Visit Forecasting
Arash Hajisafi
Haowen Lin
Sina shaham
Haoji Hu
Maria Despoina Siampou
Yao-Yi Chiang
Cyrus Shahabi
AI4TS
61
6
0
28 Jun 2023
Individual and Structural Graph Information Bottlenecks for
  Out-of-Distribution Generalization
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization
Ling Yang
Jiayi Zheng
Heyuan Wang
Zhongyi Liu
Zhilin Huang
Shenda Hong
Wentao Zhang
Tengjiao Wang
100
16
0
28 Jun 2023
Sequential Attention Source Identification Based on Feature
  Representation
Sequential Attention Source Identification Based on Feature Representation
Dongpeng Hou
Zhen Wang
Chao Gao
Xuelong Li
47
14
0
28 Jun 2023
Asynchronous Algorithmic Alignment with Cocycles
Asynchronous Algorithmic Alignment with Cocycles
Andrew Dudzik
Tamara von Glehn
Razvan Pascanu
Petar Velivcković
103
12
0
27 Jun 2023
Higher-order Graph Attention Network for Stock Selection with Joint
  Analysis
Higher-order Graph Attention Network for Stock Selection with Joint Analysis
Yang Qiao
Yiping Xia
Xiang Li
Zheng Li
Yan Ge
AIFin
25
2
0
27 Jun 2023
Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and
  New Directions
Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions
Lukas Gosch
Simon Geisler
Daniel Sturm
Bertrand Charpentier
Daniel Zügner
Stephan Günnemann
AAMLGNN
92
32
0
27 Jun 2023
Unsupervised Episode Generation for Graph Meta-learning
Unsupervised Episode Generation for Graph Meta-learning
Jihyeong Jung
Sang-gyu Seo
Sungwon Kim
Chanyoung Park
BDL
82
0
0
27 Jun 2023
SENSEi: Input-Sensitive Compilation for Accelerating GNNs
SENSEi: Input-Sensitive Compilation for Accelerating GNNs
Damitha Sandeepa Lenadora
Vimarsh Sathia
Gerasimos Gerogiannis
Serif Yesil
Josep Torrellas
Charith Mendis
GNN
66
1
0
27 Jun 2023
Contrastive Meta-Learning for Few-shot Node Classification
Contrastive Meta-Learning for Few-shot Node Classification
Song Wang
Zhen Tan
Huan Liu
Jundong Li
67
17
0
27 Jun 2023
ChiPFormer: Transferable Chip Placement via Offline Decision Transformer
ChiPFormer: Transferable Chip Placement via Offline Decision Transformer
Yao Lai
Jinxin Liu
Zhentao Tang
Bin Wang
Jianye Hao
Ping Luo
OffRL
98
43
0
26 Jun 2023
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item
  Recommendation
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation
Dongyuan Li
Liangwei Yang
Chen Wang
Zhiwei Liu
Hao Peng
Chenyu You
Philip S. Yu
59
21
0
26 Jun 2023
Interpretable Sparsification of Brain Graphs: Better Practices and
  Effective Designs for Graph Neural Networks
Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks
Gao Li
M. Duda
Xinming Zhang
Danai Koutra
Yujun Yan
84
9
0
26 Jun 2023
GPatcher: A Simple and Adaptive MLP Model for Alleviating Graph
  Heterophily
GPatcher: A Simple and Adaptive MLP Model for Alleviating Graph Heterophily
Shuaicheng Zhang
Haohui Wang
Si Zhang
Dawei Zhou
70
2
0
25 Jun 2023
Mining Stable Preferences: Adaptive Modality Decorrelation for
  Multimedia Recommendation
Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation
Jinghao Zhang
Qiang Liu
Shu Wu
Liang Wang
62
10
0
25 Jun 2023
Community-Aware Transformer for Autism Prediction in fMRI Connectome
Community-Aware Transformer for Autism Prediction in fMRI Connectome
Anushree Bannadabhavi
Soojin Lee
Wenlong Deng
Xiaoxiao Li
40
23
0
24 Jun 2023
Leveraging Brain Modularity Prior for Interpretable Representation
  Learning of fMRI
Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI
Qianqian Wang
Wei Wang
Yuqi Fang
P. Yap
Hongtu Zhu
Hong-jun Li
Lishan Qiao
Mingxia Liu
71
7
0
24 Jun 2023
Modeling Graphs Beyond Hyperbolic: Graph Neural Networks in Symmetric
  Positive Definite Matrices
Modeling Graphs Beyond Hyperbolic: Graph Neural Networks in Symmetric Positive Definite Matrices
Weichen Zhao
Federico López
J. M. Riestenberg
Michael Strube
Diaaeldin Taha
Steve J. Trettel
82
7
0
24 Jun 2023
Weakly Supervised Multi-Label Classification of Full-Text Scientific
  Papers
Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers
Yu Zhang
Bowen Jin
Xiusi Chen
Yan-Jun Shen
Yunyi Zhang
Yu Meng
Jiawei Han
76
13
0
24 Jun 2023
A clustering and graph deep learning-based framework for COVID-19 drug
  repurposing
A clustering and graph deep learning-based framework for COVID-19 drug repurposing
Chaarvi Bansal
Rohitash Chandra
Vinti Agarwal
P. R. Deepa
OOD
53
0
0
24 Jun 2023
Multi-task multi-station earthquake monitoring: An all-in-one seismic
  Phase picking, Location, and Association Network (PLAN)
Multi-task multi-station earthquake monitoring: An all-in-one seismic Phase picking, Location, and Association Network (PLAN)
Xu Si
Xinming Wu
Zefeng Li
Sheng Wang
Jun Zhu
58
2
0
24 Jun 2023
Quantifying the Optimization and Generalization Advantages of Graph Neural Networks Over Multilayer Perceptrons
Quantifying the Optimization and Generalization Advantages of Graph Neural Networks Over Multilayer Perceptrons
Wei Huang
Yuanbin Cao
Hong Wang
Xin Cao
Taiji Suzuki
MLT
95
8
0
24 Jun 2023
BatchGNN: Efficient CPU-Based Distributed GNN Training on Very Large
  Graphs
BatchGNN: Efficient CPU-Based Distributed GNN Training on Very Large Graphs
Loc Hoang
Rita Brugarolas Brufau
Ke Ding
Bo Wu
GNN
61
2
0
23 Jun 2023
Cross-Language Speech Emotion Recognition Using Multimodal Dual
  Attention Transformers
Cross-Language Speech Emotion Recognition Using Multimodal Dual Attention Transformers
Syed Muhammad talha Zaidi
S. Latif
Junaid Qadir
67
8
0
23 Jun 2023
Task-Driven Graph Attention for Hierarchical Relational Object
  Navigation
Task-Driven Graph Attention for Hierarchical Relational Object Navigation
Michael Lingelbach
Chengshu Li
Minjune Hwang
Andrey Kurenkov
Alan Lou
Roberto Martín-Martín
Ruohan Zhang
Li Fei-Fei
Jiajun Wu
81
5
0
23 Jun 2023
Efficient Model Selection for Predictive Pattern Mining Model by Safe
  Pattern Pruning
Efficient Model Selection for Predictive Pattern Mining Model by Safe Pattern Pruning
Takumi Yoshida
Hiroyuki Hanada
K. Nakagawa
Kouichi Taji
Koji Tsuda
I. Takeuchi
TPM
79
3
0
23 Jun 2023
Torsion Graph Neural Networks
Torsion Graph Neural Networks
Cong Shen
Xiang Liu
Jiawei Luo
Kelin Xia
71
0
0
23 Jun 2023
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