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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
One for All: Towards Training One Graph Model for All Classification
  Tasks
One for All: Towards Training One Graph Model for All Classification Tasks
Hao Liu
Jiarui Feng
Lecheng Kong
Ningyue Liang
Dacheng Tao
Yixin Chen
Muhan Zhang
AI4CE
105
132
0
29 Sep 2023
Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks
Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks
Yanqiao Zhu
Jeehyun Hwang
Keir Adams
Zhen Liu
B. Nan
...
Olaf Wiest
Olexandr Isayev
Connor W. Coley
Yizhou Sun
Wei Wang
80
7
0
29 Sep 2023
AI ensemble for signal detection of higher order gravitational wave
  modes of quasi-circular, spinning, non-precessing binary black hole mergers
AI ensemble for signal detection of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergers
Minyang Tian
Eliu A. Huerta
Huihuo Zheng
53
0
0
29 Sep 2023
DREAM: Decentralized Reinforcement Learning for Exploration and
  Efficient Energy Management in Multi-Robot Systems
DREAM: Decentralized Reinforcement Learning for Exploration and Efficient Energy Management in Multi-Robot Systems
Dipam Patel
Phu-Cuong Pham
Kshitij Tiwari
Judy Hoffman
52
2
0
29 Sep 2023
Networked Inequality: Preferential Attachment Bias in Graph Neural
  Network Link Prediction
Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction
Zhengyuan Yang
Levent Sagun
Yizhou Sun
143
3
0
29 Sep 2023
A Survey on Deep Learning Techniques for Action Anticipation
A Survey on Deep Learning Techniques for Action Anticipation
Zeyun Zhong
Manuel Martin
Michael Voit
Juergen Gall
Jürgen Beyerer
116
8
0
29 Sep 2023
MuSe-GNN: Learning Unified Gene Representation From Multimodal
  Biological Graph Data
MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data
Tianyu Liu
Yuge Wang
Rex Ying
Hongyu Zhao
119
15
0
29 Sep 2023
Meta-Path Learning for Multi-relational Graph Neural Networks
Meta-Path Learning for Multi-relational Graph Neural Networks
Francesco Ferrini
Antonio Longa
Takahiro Miki
Manfred Jaeger
135
6
0
29 Sep 2023
Too Big, so Fail? -- Enabling Neural Construction Methods to Solve
  Large-Scale Routing Problems
Too Big, so Fail? -- Enabling Neural Construction Methods to Solve Large-Scale Routing Problems
Hao Li
Lars Schmidt-Thieme
81
3
0
29 Sep 2023
Asynchronous Graph Generator
Asynchronous Graph Generator
Christopher P. Ley
Felipe Tobar
AI4TS
179
0
0
29 Sep 2023
Reusability report: Prostate cancer stratification with diverse
  biologically-informed neural architectures
Reusability report: Prostate cancer stratification with diverse biologically-informed neural architectures
Christian Pedersen
Tiberiu Teşileanu
Tinghui Wu
Siavash Golkar
M. Cranmer
Zijun Zhang
Shirley Ho
21
0
0
28 Sep 2023
Exploiting Edge Features in Graphs with Fused Network Gromov-Wasserstein
  Distance
Exploiting Edge Features in Graphs with Fused Network Gromov-Wasserstein Distance
Junjie Yang
Matthieu Labeau
Steeven Villa
OT
65
1
0
28 Sep 2023
Can LLMs Effectively Leverage Graph Structural Information through
  Prompts, and Why?
Can LLMs Effectively Leverage Graph Structural Information through Prompts, and Why?
Jin Huang
Xingjian Zhang
Qiaozhu Mei
Jiaqi Ma
87
15
0
28 Sep 2023
Unsupervised Pretraining for Fact Verification by Language Model
  Distillation
Unsupervised Pretraining for Fact Verification by Language Model Distillation
A. Bazaga
Pietro Lio
Bo Dai
HILM
100
2
0
28 Sep 2023
AtomSurf : Surface Representation for Learning on Protein Structures
AtomSurf : Surface Representation for Learning on Protein Structures
Vincent Mallet
Souhaib Attaiki
M. Ovsjanikov
93
3
0
28 Sep 2023
Prompt-and-Align: Prompt-Based Social Alignment for Few-Shot Fake News
  Detection
Prompt-and-Align: Prompt-Based Social Alignment for Few-Shot Fake News Detection
Jiaying Wu
Xinyu Chen
Haobin Yang
Qi Zhao
Yuhui Shi
AAML
85
12
0
28 Sep 2023
EWasteNet: A Two-Stream Data Efficient Image Transformer Approach for
  E-Waste Classification
EWasteNet: A Two-Stream Data Efficient Image Transformer Approach for E-Waste Classification
Niful Islam
Humaira Noor
Md. Saddam Hossain Mukta
Nur Shazwani Binti Kamarudin
Mohaimenul Azam Khan Raiaan
Sami Azam
62
9
0
28 Sep 2023
A Comprehensive Survey of Document-level Relation Extraction (2016-2023)
A Comprehensive Survey of Document-level Relation Extraction (2016-2023)
Lea Demelius
Hanh Thi Hong Tran
Roman Kern
Georgeta Bordea
Andreas Trügler
Antoine Doucet
62
3
0
28 Sep 2023
GInX-Eval: Towards In-Distribution Evaluation of Graph Neural Network
  Explanations
GInX-Eval: Towards In-Distribution Evaluation of Graph Neural Network Explanations
Kenza Amara
Mennatallah El-Assady
Rex Ying
58
6
0
28 Sep 2023
Distill to Delete: Unlearning in Graph Networks with Knowledge
  Distillation
Distill to Delete: Unlearning in Graph Networks with Knowledge Distillation
Yash Sinha
Murari Mandal
Mohan S. Kankanhalli
MU
95
11
0
28 Sep 2023
GNNHLS: Evaluating Graph Neural Network Inference via High-Level
  Synthesis
GNNHLS: Evaluating Graph Neural Network Inference via High-Level Synthesis
Chen Zhao
Zehao Dong
Yixin Chen
Xuan Zhang
Roger D. Chamberlain
GNN
80
2
0
27 Sep 2023
Graph-level Representation Learning with Joint-Embedding Predictive Architectures
Graph-level Representation Learning with Joint-Embedding Predictive Architectures
Geri Skenderi
Hang Li
Jiliang Tang
Marco Cristani
AI4TSGNN
142
5
0
27 Sep 2023
Clinical Trial Recommendations Using Semantics-Based Inductive Inference
  and Knowledge Graph Embeddings
Clinical Trial Recommendations Using Semantics-Based Inductive Inference and Knowledge Graph Embeddings
M. Devarakonda
Smita Mohanty
Raja Rao Sunkishala
Nag Mallampalli
Xiong Liu
54
5
0
27 Sep 2023
Neuromorphic Imaging and Classification with Graph Learning
Neuromorphic Imaging and Classification with Graph Learning
Pei Zhang
Chutian Wang
Edmund Y. Lam
GNN
46
9
0
27 Sep 2023
Graph Neural Prompting with Large Language Models
Graph Neural Prompting with Large Language Models
Yijun Tian
Huan Song
Zichen Wang
Haozhu Wang
Ziqing Hu
Fang Wang
Nitesh Chawla
Panpan Xu
AI4CE
107
49
0
27 Sep 2023
STAG: Enabling Low Latency and Low Staleness of GNN-based Services with
  Dynamic Graphs
STAG: Enabling Low Latency and Low Staleness of GNN-based Services with Dynamic Graphs
Jiawen Wang
Quan Chen
Deze Zeng
Zhuo Song
Chen Chen
Minyi Guo
GNN
91
3
0
27 Sep 2023
Adversarial Object Rearrangement in Constrained Environments with
  Heterogeneous Graph Neural Networks
Adversarial Object Rearrangement in Constrained Environments with Heterogeneous Graph Neural Networks
Xibai Lou
Houjian Yu
Ross Worobel
Yang Yang
Changhyun Choi
62
3
0
27 Sep 2023
Graph Neural Network Based Method for Path Planning Problem
Graph Neural Network Based Method for Path Planning Problem
Xing-xing Diao
Wenzheng Chi
Jiankun Wang
53
2
0
26 Sep 2023
A Comparative Study of Population-Graph Construction Methods and Graph
  Neural Networks for Brain Age Regression
A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression
Kyriaki-Margarita Bintsi
Tamara T. Mueller
Sophie Starck
V. Baltatzis
A. Hammers
Daniel Rueckert
44
2
0
26 Sep 2023
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels
Jingyang Yuan
Xiao Luo
Yifang Qin
Zhengyan Mao
Wei Ju
Ming Zhang
AAML
97
18
0
26 Sep 2023
Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias
Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias
Zhihao Shi
Jie Wang
Fanghua Lu
Hanzhu Chen
Defu Lian
Zheng Wang
Jieping Ye
Feng Wu
AI4CE
89
6
0
26 Sep 2023
Provable Training for Graph Contrastive Learning
Provable Training for Graph Contrastive Learning
Yue Yu
Tianlin Li
Mengmei Zhang
Nian Liu
Chuan Shi
98
10
0
25 Sep 2023
SAMN: A Sample Attention Memory Network Combining SVM and NN in One
  Architecture
SAMN: A Sample Attention Memory Network Combining SVM and NN in One Architecture
Qiaoling Yang
Linkai Luo
Haotong Zhang
Hong Peng
Ziyang Chen
24
0
0
25 Sep 2023
Estimating Treatment Effects Under Heterogeneous Interference
Estimating Treatment Effects Under Heterogeneous Interference
Xiaofeng Lin
Guoxi Zhang
Xiaotian Lu
Han Bao
Koh Takeuchi
Hisashi Kashima
CML
67
5
0
25 Sep 2023
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning
Jing Zhu
Xiang Song
V. Ioannidis
Danai Koutra
Christos Faloutsos
176
15
0
25 Sep 2023
From Cluster Assumption to Graph Convolution: Graph-based
  Semi-Supervised Learning Revisited
From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited
Zheng Wang
H. Ding
Leyi Pan
Jianhua Li
Zhiguo Gong
Philip S. Yu
GNN
97
6
0
24 Sep 2023
Enhancing Student Performance Prediction on Learnersourced Questions
  with SGNN-LLM Synergy
Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy
Lin Ni
Sijie Wang
Zeyu Zhang
Xiaoxuan Li
Xianda Zheng
Paul Denny
Jing Liu
AI4Ed
69
13
0
23 Sep 2023
A Model-Agnostic Graph Neural Network for Integrating Local and Global
  Information
A Model-Agnostic Graph Neural Network for Integrating Local and Global Information
Wenzhuo Zhou
Annie Qu
Keiland W Cooper
Norbert Fortin
Babak Shahbaba
115
1
0
23 Sep 2023
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and
  Treatment
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment
Yutong Xia
Yuxuan Liang
Haomin Wen
Xu Liu
Kun Wang
Zhengyang Zhou
Roger Zimmermann
AI4TS
115
50
0
23 Sep 2023
E(2)-Equivariant Graph Planning for Navigation
E(2)-Equivariant Graph Planning for Navigation
Linfeng Zhao
Hongyu Li
T. Padır
Huaizu Jiang
Lawson L. S. Wong
100
6
0
22 Sep 2023
Higher-order Graph Convolutional Network with Flower-Petals Laplacians
  on Simplicial Complexes
Higher-order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes
Yiming Huang
Yujie Zeng
Qiang Wu
Linyuan Lu
74
19
0
22 Sep 2023
Prototype-Enhanced Hypergraph Learning for Heterogeneous Information
  Networks
Prototype-Enhanced Hypergraph Learning for Heterogeneous Information Networks
Shuai Wang
Jiayi Shen
Athanasios Efthymiou
Stevan Rudinac
Monika Kackovic
Nachoem Wijnberg
Marcel Worring
63
0
0
22 Sep 2023
Recurrent Temporal Revision Graph Networks
Recurrent Temporal Revision Graph Networks
Yizhou Chen
Anxiang Zeng
Guangda Huzhang
Qingtao Yu
Kerui Zhang
Yuan Cao
Kangle Wu
Han Yu
Zhiming Zhou
78
3
0
22 Sep 2023
Lovelock: Towards Smart NIC-hosted Clusters
Lovelock: Towards Smart NIC-hosted Clusters
Seo Jin Park
Ramesh Govindan
Kai Shen
David E. Culler
Fatma Özcan
Geon-Woo Kim
Henry M. Levy
GNN
40
5
0
22 Sep 2023
ARRQP: Anomaly Resilient Real-time QoS Prediction Framework with Graph
  Convolution
ARRQP: Anomaly Resilient Real-time QoS Prediction Framework with Graph Convolution
Suraj Kumar
S. Chattopadhyay
29
0
0
22 Sep 2023
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting
Yusheng Zhao
Xiao Luo
Wei Ju
C. L. Philip Chen
Xiansheng Hua
Ming Zhang
AI4TS
98
28
0
21 Sep 2023
A Comprehensive Review of Community Detection in Graphs
A Comprehensive Review of Community Detection in Graphs
Jiakang Li
Songlai Ning
Zhihao Shuai
Yuan Tan
Yifan Jia
...
Yongxin Ni
Haifeng Qiu
Jiayu Yang
Y. Lu
Yonggang Lu
GNN
87
26
0
21 Sep 2023
Extracting Physical Causality from Measurements to Detect and Localize
  False Data Injection Attacks
Extracting Physical Causality from Measurements to Detect and Localize False Data Injection Attacks
Shengyang Wu
Jingyu Wang
Dongyuan Shi
16
0
0
21 Sep 2023
Article Classification with Graph Neural Networks and Multigraphs
Article Classification with Graph Neural Networks and Multigraphs
Khang Ly
Yury Kashnitsky
Savvas Chamezopoulos
Valeria Krzhizhanovskaya
62
0
0
20 Sep 2023
Retrieve-Rewrite-Answer: A KG-to-Text Enhanced LLMs Framework for
  Knowledge Graph Question Answering
Retrieve-Rewrite-Answer: A KG-to-Text Enhanced LLMs Framework for Knowledge Graph Question Answering
Yike Wu
Nan Hu
Sheng Bi
Guilin Qi
Jie Ren
Anhuan Xie
Wei Song
RALM
92
67
0
20 Sep 2023
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