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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
PathMLP: Smooth Path Towards High-order Homophily
PathMLP: Smooth Path Towards High-order Homophily
Chenxuan Xie
Jiajun Zhou
Sheng Gong
Jiacheng Wan
Jiaxu Qian
Shanqing Yu
Qi Xuan
Xiaoniu Yang
64
7
0
23 Jun 2023
Curvature-enhanced Graph Convolutional Network for Biomolecular
  Interaction Prediction
Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Prediction
Cong Shen
Pingjian Ding
Junjie Wee
Jialin Bi
Jiawei Luo
Kelin Xia
GNN
99
6
0
23 Jun 2023
TrustGuard: GNN-based Robust and Explainable Trust Evaluation with
  Dynamicity Support
TrustGuard: GNN-based Robust and Explainable Trust Evaluation with Dynamicity Support
Jie Wang
Zheng Yan
Jiahe Lan
Elisa Bertino
Witold Pedrycz
51
12
0
23 Jun 2023
Prediction of Annual Snow Accumulation Using a Recurrent Graph
  Convolutional Approach
Prediction of Annual Snow Accumulation Using a Recurrent Graph Convolutional Approach
Benjamin Zalatan
Maryam Rahnemoonfar
32
8
0
22 Jun 2023
Evolving Computation Graphs
Evolving Computation Graphs
Andreea Deac
Jian Tang
68
1
0
22 Jun 2023
Realistic Synthetic Financial Transactions for Anti-Money Laundering
  Models
Realistic Synthetic Financial Transactions for Anti-Money Laundering Models
Erik Altman
Jovan Blanuvsa
Luc von Niederhäusern
Béni Egressy
Andreea Anghel
Kubilay Atasu
153
44
0
22 Jun 2023
On Exploring Node-feature and Graph-structure Diversities for Node Drop
  Graph Pooling
On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling
Chuang Liu
Yibing Zhan
Baosheng Yu
Liu Liu
Bo Du
Wenbin Hu
Tongliang Liu
103
12
0
22 Jun 2023
Recent Developments in Recommender Systems: A Survey
Recent Developments in Recommender Systems: A Survey
Yang Li
Kangbo Liu
Ranjan Satapathy
Suhang Wang
Erik Cambria
OffRL
137
35
0
22 Jun 2023
On Addressing the Limitations of Graph Neural Networks
On Addressing the Limitations of Graph Neural Networks
Sitao Luan
GNN
89
5
0
22 Jun 2023
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection
Jianheng Tang
Fengrui Hua
Zi-Chao Gao
P. Zhao
Jia Li
105
65
0
21 Jun 2023
Spatial Heterophily Aware Graph Neural Networks
Spatial Heterophily Aware Graph Neural Networks
Congxi Xiao
Jingbo Zhou
Jizhou Huang
Tong Xu
Hui Xiong
103
9
0
21 Jun 2023
Structure-Aware DropEdge Towards Deep Graph Convolutional Networks
Structure-Aware DropEdge Towards Deep Graph Convolutional Networks
Jiaqi Han
Wen-bing Huang
Yu Rong
Tingyang Xu
Gang Hua
Junzhou Huang
88
6
0
21 Jun 2023
EquiformerV2: Improved Equivariant Transformer for Scaling to
  Higher-Degree Representations
EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
Yidong Liao
Brandon M. Wood
Abhishek Das
Tess E. Smidt
135
159
0
21 Jun 2023
A Semi-Autoregressive Graph Generative Model for Dependency Graph
  Parsing
A Semi-Autoregressive Graph Generative Model for Dependency Graph Parsing
Ye Ma
Mingming Sun
P. Li
GNN
58
1
0
21 Jun 2023
Provably Powerful Graph Neural Networks for Directed Multigraphs
Provably Powerful Graph Neural Networks for Directed Multigraphs
Béni Egressy
Luc von Niederhäusern
Jovan Blanusa
Erik Altman
Roger Wattenhofer
Kubilay Atasu
103
19
0
20 Jun 2023
CATS: A Pragmatic Chinese Answer-to-Sequence Dataset with Large Scale
  and High Quality
CATS: A Pragmatic Chinese Answer-to-Sequence Dataset with Large Scale and High Quality
Liang Li
Ruiying Geng
Chengyang Fang
Bing Li
Can Ma
Rongyu Cao
Binhua Li
Fei Huang
Yongbin Li
67
3
0
20 Jun 2023
Contrastive Disentangled Learning on Graph for Node Classification
Contrastive Disentangled Learning on Graph for Node Classification
Xiaojuan Zhang
Jun Fu
Shuang Li
SSL
61
1
0
20 Jun 2023
Variational Disentangled Graph Auto-Encoders for Link Prediction
Variational Disentangled Graph Auto-Encoders for Link Prediction
Jun Fu
Xiaojuan Zhang
Shuang Li
Dali Chen
CMLDRL
67
3
0
20 Jun 2023
Deep graph kernel point processes
Deep graph kernel point processes
Zheng Dong
Matthew Repasky
Xiuyuan Cheng
Yao Xie
3DPC
96
3
0
20 Jun 2023
Transforming Graphs for Enhanced Attribute Clustering: An Innovative
  Graph Transformer-Based Method
Transforming Graphs for Enhanced Attribute Clustering: An Innovative Graph Transformer-Based Method
Shuo Han
Jiachegn Liu
Jiayun Wu
Yinan Chen
Li Tao
101
0
0
20 Jun 2023
GraphGLOW: Universal and Generalizable Structure Learning for Graph
  Neural Networks
GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks
Wentao Zhao
Qitian Wu
Chenxiao Yang
Junchi Yan
63
14
0
20 Jun 2023
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical
  Systems
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems
Song Jiang
Zijie Huang
Xiao Luo
Yizhou Sun
CML
106
16
0
20 Jun 2023
Graph Self-Supervised Learning for Endoscopic Image Matching
Graph Self-Supervised Learning for Endoscopic Image Matching
Manel Farhat
A. Ben-Hamadou
SSL
70
1
0
19 Jun 2023
SynerGPT: In-Context Learning for Personalized Drug Synergy Prediction
  and Drug Design
SynerGPT: In-Context Learning for Personalized Drug Synergy Prediction and Drug Design
Carl Edwards
Aakanksha Naik
Tushar Khot
Martin D. Burke
Heng Ji
Tom Hope
130
16
0
19 Jun 2023
Att-KGCN: Tourist Attractions Recommendation System by using Attention
  mechanism and Knowledge Graph Convolution Network
Att-KGCN: Tourist Attractions Recommendation System by using Attention mechanism and Knowledge Graph Convolution Network
A. Mubarak
Jingjing Li
Han Cao
GNN
78
0
0
19 Jun 2023
FDTI: Fine-grained Deep Traffic Inference with Roadnet-enriched Graph
FDTI: Fine-grained Deep Traffic Inference with Roadnet-enriched Graph
Zhanyu Liu
Chumeng Liang
Guanjie Zheng
Hua Wei
71
5
0
19 Jun 2023
SGFormer: Simplifying and Empowering Transformers for Large-Graph
  Representations
SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations
Qitian Wu
Wen-Long Zhao
Chenxiao Yang
Hengrui Zhang
Fan Nie
Haitian Jiang
Yatao Bian
Junchi Yan
AI4CE
131
98
0
19 Jun 2023
Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation
Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation
Qianru Zhang
Chao Huang
Lianghao Xia
Zheng Wang
Siu-keung Yiu
Ruihua Han
AI4TS
112
22
0
19 Jun 2023
CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity
  Quantification
CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification
Le-le Cao
Vilhelm von Ehrenheim
Mark Granroth-Wilding
Richard Anselmo Stahl
Andrew McCornack
Armin Catovic
Dhiana Deva Cavalcanti Rocha
102
4
0
18 Jun 2023
Meta-Learning for Airflow Simulations with Graph Neural Networks
Meta-Learning for Airflow Simulations with Graph Neural Networks
Wenzhuo Liu
Mouadh Yagoubi
Marc Schoenauer
AI4CE
61
0
0
18 Jun 2023
Structure-Sensitive Graph Dictionary Embedding for Graph Classification
Structure-Sensitive Graph Dictionary Embedding for Graph Classification
Guangyi Liu
Tong Zhang
Xudong Wang
Wenting Zhao
Chuanwei Zhou
Zhen Cui
61
1
0
18 Jun 2023
Graph Ladling: Shockingly Simple Parallel GNN Training without
  Intermediate Communication
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication
A. Jaiswal
Shiwei Liu
Tianlong Chen
Ying Ding
Zhangyang Wang
GNN
107
7
0
18 Jun 2023
Advancing Biomedicine with Graph Representation Learning: Recent
  Progress, Challenges, and Future Directions
Advancing Biomedicine with Graph Representation Learning: Recent Progress, Challenges, and Future Directions
Fang Li
Yi Nian
Zenan Sun
Cui Tao
LM&MAOODAI4TSAI4CE
70
6
0
18 Jun 2023
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls
  and New Benchmarking
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking
Juanhui Li
Harry Shomer
Haitao Mao
Shenglai Zeng
Yao Ma
Neil Shah
Jiliang Tang
Dawei Yin
174
59
0
18 Jun 2023
Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated
  Graph Neural Network
Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated Graph Neural Network
Fan Liu
Siqi Lai
Yansong Ning
Hao Liu
AAMLFedML
88
3
0
17 Jun 2023
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning
Zhiyao Zhou
Sheng Zhou
Bochao Mao
Xu Zhou
Jiawei Chen
Qiaoyu Tan
Daochen Zha
Yan Feng
Chun-Yen Chen
C. Wang
141
24
0
17 Jun 2023
Dual Node and Edge Fairness-Aware Graph Partition
Dual Node and Edge Fairness-Aware Graph Partition
Tingwei Liu
Peizhao Li
Hongfu Liu
57
0
0
16 Jun 2023
Flow-Bench: A Dataset for Computational Workflow Anomaly Detection
Flow-Bench: A Dataset for Computational Workflow Anomaly Detection
George Papadimitriou
Hongwei Jin
Cong Wang
Rajiv Mayani
Krishnan Raghavan
A. Mandal
Prasanna Balaprakash
Ewa Deelman
89
3
0
16 Jun 2023
HomoGCL: Rethinking Homophily in Graph Contrastive Learning
HomoGCL: Rethinking Homophily in Graph Contrastive Learning
Wenzhong Li
Changdong Wang
Hui Xiong
Jian-Huang Lai
84
23
0
16 Jun 2023
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node
  Classification
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification
Wenzhong Li
Changdong Wang
Hui Xiong
Jian-Huang Lai
97
28
0
16 Jun 2023
Kriging Convolutional Networks
Kriging Convolutional Networks
G. Appleby
Linfeng Liu
Liping Liu
119
66
0
15 Jun 2023
MPSTAN: Metapopulation-based Spatio-Temporal Attention Network for
  Epidemic Forecasting
MPSTAN: Metapopulation-based Spatio-Temporal Attention Network for Epidemic Forecasting
Jun-Jie Mao
Yuexing Han
Bing Wang
55
7
0
15 Jun 2023
The Split Matters: Flat Minima Methods for Improving the Performance of
  GNNs
The Split Matters: Flat Minima Methods for Improving the Performance of GNNs
N. Lell
A. Scherp
72
1
0
15 Jun 2023
Hyperbolic Representation Learning: Revisiting and Advancing
Hyperbolic Representation Learning: Revisiting and Advancing
Menglin Yang
Min Zhou
Rex Ying
Yankai Chen
Irwin King
87
23
0
15 Jun 2023
Relational Temporal Graph Reasoning for Dual-task Dialogue Language
  Understanding
Relational Temporal Graph Reasoning for Dual-task Dialogue Language Understanding
Bowen Xing
Ivor W. Tsang
70
15
0
15 Jun 2023
Spatiotemporal-Augmented Graph Neural Networks for Human Mobility
  Simulation
Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation
Yu Wang
Tongya Zheng
Shunyu Liu
Zunlei Feng
Kaixuan Chen
Yunzhi Hao
Min-Gyoo Song
96
9
0
15 Jun 2023
On the Interplay of Subset Selection and Informed Graph Neural Networks
On the Interplay of Subset Selection and Informed Graph Neural Networks
Niklas Breustedt
Paolo Climaco
Jochen Garcke
J. Hamaekers
Gitta Kutyniok
D. Lorenz
Rick Oerder
Chirag Varun Shukla
67
0
0
15 Jun 2023
Rethinking Document-Level Relation Extraction: A Reality Check
Rethinking Document-Level Relation Extraction: A Reality Check
Jing Li
Yequan Wang
Shuai Zhang
Min Zhang
90
13
0
15 Jun 2023
Scalable Resource Management for Dynamic MEC: An Unsupervised
  Link-Output Graph Neural Network Approach
Scalable Resource Management for Dynamic MEC: An Unsupervised Link-Output Graph Neural Network Approach
Xiucheng Wang
Nan Cheng
Lianhao Fu
Wei Quan
Ruijin Sun
Yilong Hui
Tom H. Luan
X. Shen
87
9
0
15 Jun 2023
Symmetry-Informed Geometric Representation for Molecules, Proteins, and
  Crystalline Materials
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials
Shengchao Liu
Weitao Du
Yanjing Li
Zhuoxinran Li
Zhiling Zheng
...
Anima Anandkumar
C. Borgs
J. Chayes
Hongyu Guo
Jian Tang
AI4CE
99
24
0
15 Jun 2023
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