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Graph Attention Networks

Graph Attention Networks

30 October 2017
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
    GNN
ArXivPDFHTML

Papers citing "Graph Attention Networks"

50 / 3,125 papers shown
Title
KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph
  Neural Networks
KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks
Zhizhi Yu
Di Jin
Cuiying Huo
Zhiqiang Wang
Xiulong Liu
Heng Qi
Jia Wu
Lingfei Wu
38
9
0
22 Feb 2023
HINormer: Representation Learning On Heterogeneous Information Networks
  with Graph Transformer
HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer
Qiheng Mao
Zemin Liu
Chenghao Liu
Jianling Sun
53
56
0
22 Feb 2023
Drugs Resistance Analysis from Scarce Health Records via Multi-task
  Graph Representation
Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation
Honglin Shu
Pei Gao
Lingwei Zhu
Zheng Chen
24
2
0
22 Feb 2023
Higher-order Sparse Convolutions in Graph Neural Networks
Higher-order Sparse Convolutions in Graph Neural Networks
Jhony H. Giraldo
S. Javed
Arif Mahmood
Fragkiskos D. Malliaros
T. Bouwmans
GNN
49
2
0
21 Feb 2023
KG-ECO: Knowledge Graph Enhanced Entity Correction for Query Rewriting
KG-ECO: Knowledge Graph Enhanced Entity Correction for Query Rewriting
Jason (Jinglun) Cai
Mingda Li
Ziyan Jiang
Eunah Cho
Zheng Chen
Yang Liu
Xing Fan
Chenlei Guo
46
7
0
21 Feb 2023
Label Information Enhanced Fraud Detection against Low Homophily in
  Graphs
Label Information Enhanced Fraud Detection against Low Homophily in Graphs
Yuchen Wang
Jinghui Zhang
Zhengjie Huang
Weibin Li
Shi Feng
...
Dianhai Yu
Fang Dong
Jiahui Jin
Beilun Wang
Junzhou Luo
27
38
0
21 Feb 2023
Learnable Topological Features for Phylogenetic Inference via Graph
  Neural Networks
Learnable Topological Features for Phylogenetic Inference via Graph Neural Networks
Cheng Zhang
23
14
0
17 Feb 2023
G-Signatures: Global Graph Propagation With Randomized Signatures
G-Signatures: Global Graph Propagation With Randomized Signatures
Bernhard Schafl
Lukas Gruber
Johannes Brandstetter
Sepp Hochreiter
29
2
0
17 Feb 2023
Modeling Polypharmacy and Predicting Drug-Drug Interactions using Deep
  Generative Models on Multimodal Graphs
Modeling Polypharmacy and Predicting Drug-Drug Interactions using Deep Generative Models on Multimodal Graphs
Nhat-Khang Ngô
Truong-Son Hy
Risi Kondor
GNN
BDL
18
1
0
17 Feb 2023
Search to Capture Long-range Dependency with Stacking GNNs for Graph
  Classification
Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification
Lanning Wei
Zhiqiang He
Huan Zhao
Quanming Yao
33
16
0
17 Feb 2023
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey
  from Precision to Interpretability
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability
Zhiqiang Zhong
A. Barkova
Davide Mottin
29
8
0
16 Feb 2023
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
Zhiqing Sun
Yiming Yang
DiffM
42
122
0
16 Feb 2023
Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility
Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility
Malintha Fernando
Ransalu Senanayake
Heeyoul Choi
Martin Swany
39
4
0
14 Feb 2023
Neurosymbolic AI for Reasoning over Knowledge Graphs: A Survey
Neurosymbolic AI for Reasoning over Knowledge Graphs: A Survey
L. Delong
Ramon Fernández Mir
Jacques D. Fleuriot
NAI
42
12
0
14 Feb 2023
Over-Sampling Strategy in Feature Space for Graphs based
  Class-imbalanced Bot Detection
Over-Sampling Strategy in Feature Space for Graphs based Class-imbalanced Bot Detection
S. Shi
Kai Qiao
Jie Yang
Baojie Song
Jian Chen
Binghai Yan
29
14
0
14 Feb 2023
NNKGC: Improving Knowledge Graph Completion with Node Neighborhoods
NNKGC: Improving Knowledge Graph Completion with Node Neighborhoods
Zihui Li
Boming Yang
20
4
0
13 Feb 2023
Expediting Distributed DNN Training with Device Topology-Aware Graph
  Deployment
Expediting Distributed DNN Training with Device Topology-Aware Graph Deployment
Shiwei Zhang
Xiaodong Yi
Lansong Diao
Chuan Wu
Siyu Wang
W. Lin
GNN
24
5
0
13 Feb 2023
A Comprehensive Survey on Graph Summarization with Graph Neural Networks
A Comprehensive Survey on Graph Summarization with Graph Neural Networks
Nasrin Shabani
Jia Wu
Amin Beheshti
Quan.Z Sheng
Jin Foo
Venus Haghighi
Ambreen Hanif
Maryam Shahabikargar
GNN
AI4TS
45
12
0
13 Feb 2023
TIGER: Temporal Interaction Graph Embedding with Restarts
TIGER: Temporal Interaction Graph Embedding with Restarts
Yao Zhang
Yun Xiong
Yongxiang Liao
Yiheng Sun
Yucheng Jin
Xuehao Zheng
Yangyong Zhu
22
24
0
13 Feb 2023
Investigating the Effect of Relative Positional Embeddings on
  AMR-to-Text Generation with Structural Adapters
Investigating the Effect of Relative Positional Embeddings on AMR-to-Text Generation with Structural Adapters
Sébastien Montella
Alexis Nasr
Johannes Heinecke
Frédéric Béchet
L. Rojas-Barahona
37
2
0
12 Feb 2023
USER: Unsupervised Structural Entropy-based Robust Graph Neural Network
USER: Unsupervised Structural Entropy-based Robust Graph Neural Network
Yifei Wang
Yupan Wang
Zeyu Zhang
Song Yang
Kaiqi Zhao
Jiamou Liu
OOD
27
4
0
12 Feb 2023
A Survey on Spectral Graph Neural Networks
A Survey on Spectral Graph Neural Networks
Deyu Bo
Xiao Wang
Yang Liu
Yuan Fang
Yawen Li
Chuan Shi
40
27
0
11 Feb 2023
CILP: Co-simulation based Imitation Learner for Dynamic Resource
  Provisioning in Cloud Computing Environments
CILP: Co-simulation based Imitation Learner for Dynamic Resource Provisioning in Cloud Computing Environments
Shreshth Tuli
G. Casale
N. Jennings
37
8
0
11 Feb 2023
Unnoticeable Backdoor Attacks on Graph Neural Networks
Unnoticeable Backdoor Attacks on Graph Neural Networks
Enyan Dai
Minhua Lin
Xiang Zhang
Suhang Wang
AAML
29
47
0
11 Feb 2023
Language Decision Transformers with Exponential Tilt for Interactive
  Text Environments
Language Decision Transformers with Exponential Tilt for Interactive Text Environments
Nicolas Angelard-Gontier
Pau Rodríguez López
I. Laradji
David Vazquez
C. Pal
OffRL
39
1
0
10 Feb 2023
Semi-decentralized Federated Ego Graph Learning for Recommendation
Semi-decentralized Federated Ego Graph Learning for Recommendation
Liang Qu
Ningzhi Tang
Ruiqi Zheng
Quoc Viet Hung Nguyen
Zi Huang
Yuhui Shi
Hongzhi Yin
FedML
77
51
0
10 Feb 2023
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on
  Graph Diffusion
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion
Haotian Ju
Dongyue Li
Aneesh Sharma
Hongyang R. Zhang
31
40
0
09 Feb 2023
SimCGNN: Simple Contrastive Graph Neural Network for Session-based
  Recommendation
SimCGNN: Simple Contrastive Graph Neural Network for Session-based Recommendation
Yuan Cao
Xudong Zhang
Fan Zhang
Feifei Kou
Josiah Poon
Xiongnan Jin
Yongheng Wang
Jinpeng Chen
10
2
0
08 Feb 2023
An entity-guided text summarization framework with relational
  heterogeneous graph neural network
An entity-guided text summarization framework with relational heterogeneous graph neural network
Jingqiang Chen
23
4
0
07 Feb 2023
Curriculum Graph Machine Learning: A Survey
Curriculum Graph Machine Learning: A Survey
Haoyang Li
Xin Eric Wang
Wenwu Zhu
38
16
0
06 Feb 2023
INCREASE: Inductive Graph Representation Learning for Spatio-Temporal
  Kriging
INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging
Chuanpan Zheng
Xiaoliang Fan
Cheng-i Wang
Jianzhong Qi
Chaochao Chen
Longbiao Chen
AI4TS
36
19
0
06 Feb 2023
An Implicit GNN Solver for Poisson-like problems
An Implicit GNN Solver for Poisson-like problems
Matthieu Nastorg
M. Bucci
T. Faney
J. Gratien
Guillaume Charpiat
Marc Schoenauer
AI4CE
39
2
0
06 Feb 2023
Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic
  Data Imputation
Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data Imputation
Haifang Wen
Wenzhuo Tang
Wei Jin
Jiayuan Ding
Renming Liu
Xinnan Dai
Feng Shi
Lulu Shang
Jiliang Tang
Yuying Xie
32
9
0
06 Feb 2023
JPEG Steganalysis Based on Steganographic Feature Enhancement and Graph
  Attention Learning
JPEG Steganalysis Based on Steganographic Feature Enhancement and Graph Attention Learning
Qiyun Liu
Zhiguang Yang
Han-Yan Wu
24
0
0
05 Feb 2023
Interaction Order Prediction for Temporal Graphs
Interaction Order Prediction for Temporal Graphs
N. Bannur
Mashrin Srivastava
Harsha Vardhan
29
0
0
04 Feb 2023
Show me your NFT and I tell you how it will perform: Multimodal
  representation learning for NFT selling price prediction
Show me your NFT and I tell you how it will perform: Multimodal representation learning for NFT selling price prediction
Davide Costa
Lucio La Cava
Andrea Tagarelli
32
22
0
03 Feb 2023
Ordered GNN: Ordering Message Passing to Deal with Heterophily and
  Over-smoothing
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing
Yunchong Song
Cheng Zhou
Xinbing Wang
Zhouhan Lin
37
64
0
03 Feb 2023
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation
Rui Xue
Haoyu Han
MohamadAli Torkamani
Jian Pei
Xiaorui Liu
GNN
36
21
0
03 Feb 2023
GraphAGILE: An FPGA-based Overlay Accelerator for Low-latency GNN
  Inference
GraphAGILE: An FPGA-based Overlay Accelerator for Low-latency GNN Inference
Bingyi Zhang
Hanqing Zeng
Viktor Prasanna
GNN
31
16
0
02 Feb 2023
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph
  Neural Network
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network
Wendong Bi
Bingbing Xu
Xiaoqian Sun
Li Xu
Huawei Shen
Xueqi Cheng
46
16
0
02 Feb 2023
MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction with
  Neural ODEs
MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction with Neural ODEs
Theodor Westny
Joel Oskarsson
Björn Olofsson
Erik Frisk
53
33
0
01 Feb 2023
A Survey of Deep Learning: From Activations to Transformers
A Survey of Deep Learning: From Activations to Transformers
Johannes Schneider
Michalis Vlachos
ViT
MedIm
AI4TS
AI4CE
52
10
0
01 Feb 2023
Towards Label-Efficient Incremental Learning: A Survey
Towards Label-Efficient Incremental Learning: A Survey
Mert Kilickaya
Joost van de Weijer
Yuki M. Asano
CLL
45
4
0
01 Feb 2023
Knowledge Distillation on Graphs: A Survey
Knowledge Distillation on Graphs: A Survey
Yijun Tian
Shichao Pei
Xiangliang Zhang
Chuxu Zhang
Nitesh Chawla
31
29
0
01 Feb 2023
DRAINCLoG: Detecting Rogue Accounts with Illegally-obtained NFTs using
  Classifiers Learned on Graphs
DRAINCLoG: Detecting Rogue Accounts with Illegally-obtained NFTs using Classifiers Learned on Graphs
Han-Sung Kim
Jian Cui
Eugene Jang
Chanhee Lee
Yongjae Lee
Jin-Woo Chung
Seung-Eui Shin
GNN
21
8
0
31 Jan 2023
Holistic Graph-based Motion Prediction
Holistic Graph-based Motion Prediction
Daniel Grimm
Philip Schorner
M. Dressler
J. -Marius Zöllner
31
13
0
31 Jan 2023
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive
  Learning
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning
Chaoxi Niu
Guansong Pang
Ling-Hao Chen
29
9
0
31 Jan 2023
Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks
Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks
He Zhang
Xingliang Yuan
Shirui Pan
57
11
0
30 Jan 2023
GE-Blender: Graph-Based Knowledge Enhancement for Blender
GE-Blender: Graph-Based Knowledge Enhancement for Blender
Xiaolei Lian
Xunzhu Tang
Yue Wang
43
2
0
30 Jan 2023
Finding the Law: Enhancing Statutory Article Retrieval via Graph Neural
  Networks
Finding the Law: Enhancing Statutory Article Retrieval via Graph Neural Networks
Antoine Louis
Gijs van Dijck
Gerasimos Spanakis
AILaw
28
9
0
30 Jan 2023
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