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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
Learning Complete Topology-Aware Correlations Between Relations for
  Inductive Link Prediction
Learning Complete Topology-Aware Correlations Between Relations for Inductive Link Prediction
Jie Wang
Hanzhu Chen
Qitan Lv
Zhihao Shi
Jiajun Chen
Huarui He
Hongtao Xie
Yongdong Zhang
Feng Wu
52
0
0
20 Sep 2023
InkStream: Real-time GNN Inference on Streaming Graphs via Incremental
  Update
InkStream: Real-time GNN Inference on Streaming Graphs via Incremental Update
Dan Wu
Zhaoying Li
Tulika Mitra
GNN
45
3
0
20 Sep 2023
Localize, Retrieve and Fuse: A Generalized Framework for Free-Form
  Question Answering over Tables
Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables
Wenting Zhao
Ye Liu
Yao Wan
Yibo Wang
Zhongfen Deng
Philip S. Yu
RALMLMTD
68
7
0
20 Sep 2023
Towards Data-centric Graph Machine Learning: Review and Outlook
Towards Data-centric Graph Machine Learning: Review and Outlook
Xin Zheng
Yixin Liu
Zhifeng Bao
Meng Fang
Xia Hu
Alan Wee-Chung Liew
Shirui Pan
GNNAI4CE
102
20
0
20 Sep 2023
Semi-supervised Domain Adaptation in Graph Transfer Learning
Semi-supervised Domain Adaptation in Graph Transfer Learning
Ziyue Qiao
Xiao Luo
Meng Xiao
Hao Dong
Yuanchun Zhou
Hui Xiong
OOD
141
29
0
19 Sep 2023
MUSTANG: Multi-Stain Self-Attention Graph Multiple Instance Learning
  Pipeline for Histopathology Whole Slide Images
MUSTANG: Multi-Stain Self-Attention Graph Multiple Instance Learning Pipeline for Histopathology Whole Slide Images
Amaya Gallagher-Syed
Luca Rossi
F. Rivellese
C. Pitzalis
M. Lewis
Michael Barnes
Gregory Slabaugh
60
0
0
19 Sep 2023
Unsupervised Deep Cross-Language Entity Alignment
Unsupervised Deep Cross-Language Entity Alignment
Chuanyu Jiang
Yiming Qian
Lijun Chen
Yang Gu
Xia Xie
93
5
0
19 Sep 2023
Unsupervised Learning via Network-Aware Embeddings
Unsupervised Learning via Network-Aware Embeddings
Anne Sophie Riis Damstrup
Sofie Tosti Madsen
Michele Coscia
SSL
113
0
0
19 Sep 2023
Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method
  for Few-shot Node Tasks
Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks
Hao Liu
Jiarui Feng
Lecheng Kong
Dacheng Tao
Yixin Chen
Muhan Zhang
OffRL
70
5
0
19 Sep 2023
Learning based 2D Irregular Shape Packing
Learning based 2D Irregular Shape Packing
Zeshi Yang
Zherong Pan
Manyi Li
Kui Wu
Xifeng Gao
3DV
81
5
0
19 Sep 2023
Efficient Low-Rank GNN Defense Against Structural Attacks
Efficient Low-Rank GNN Defense Against Structural Attacks
Abdullah Alchihabi
Qing En
Yuhong Guo
AAML
53
1
0
18 Sep 2023
GDM: Dual Mixup for Graph Classification with Limited Supervision
GDM: Dual Mixup for Graph Classification with Limited Supervision
Abdullah Alchihabi
Yuhong Guo
38
0
0
18 Sep 2023
A Heterogeneous Graph-Based Multi-Task Learning for Fault Event
  Diagnosis in Smart Grid
A Heterogeneous Graph-Based Multi-Task Learning for Fault Event Diagnosis in Smart Grid
Dibaloke Chanda
Nasim Yahya Soltani
47
5
0
18 Sep 2023
CC-SGG: Corner Case Scenario Generation using Learned Scene Graphs
CC-SGG: Corner Case Scenario Generation using Learned Scene Graphs
George Drayson
Efimia Panagiotaki
Daniel Omeiza
Lars Kunze
54
3
0
18 Sep 2023
Spoofing attack augmentation: can differently-trained attack models
  improve generalisation?
Spoofing attack augmentation: can differently-trained attack models improve generalisation?
W. Ge
Xin Wang
Junichi Yamagishi
Massimiliano Todisco
Nicholas W. D. Evans
AAML
45
10
0
18 Sep 2023
CaT: Balanced Continual Graph Learning with Graph Condensation
CaT: Balanced Continual Graph Learning with Graph Condensation
Yilun Liu
Ruihong Qiu
Zi Huang
DD
110
42
0
18 Sep 2023
Mitigating Over-Smoothing and Over-Squashing using Augmentations of
  Forman-Ricci Curvature
Mitigating Over-Smoothing and Over-Squashing using Augmentations of Forman-Ricci Curvature
Lukas Fesser
Melanie Weber
100
25
0
17 Sep 2023
Towards Differential Privacy in Sequential Recommendation: A Noisy Graph
  Neural Network Approach
Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach
Wentao Hu
Hui Fang
81
5
0
17 Sep 2023
Performance of Graph Neural Networks for Point Cloud Applications
Performance of Graph Neural Networks for Point Cloud Applications
Dhruv Parikh
Bingyi Zhang
Rajgopal Kannan
Viktor Prasanna
Carl E. Busart
GNN3DPC
71
1
0
17 Sep 2023
Pixel Adapter: A Graph-Based Post-Processing Approach for Scene Text
  Image Super-Resolution
Pixel Adapter: A Graph-Based Post-Processing Approach for Scene Text Image Super-Resolution
Wenyu Zhang
Xin Deng
Baojun Jia
Xingtong Yu
Yifan Chen
Jin Ma
Qing Ding
Xinming Zhang
81
11
0
16 Sep 2023
Graph-based Decentralized Task Allocation for Multi-Robot Target
  Localization
Graph-based Decentralized Task Allocation for Multi-Robot Target Localization
Juntong Peng
Hrishikesh Viswanath
Kshitij Tiwari
Aniket Bera
100
7
0
16 Sep 2023
Has Sentiment Returned to the Pre-pandemic Level? A Sentiment Analysis
  Using U.S. College Subreddit Data from 2019 to 2022
Has Sentiment Returned to the Pre-pandemic Level? A Sentiment Analysis Using U.S. College Subreddit Data from 2019 to 2022
Tian Yan
Fan Liu
AI4CE
10
0
0
16 Sep 2023
Local Differential Privacy in Graph Neural Networks: a Reconstruction
  Approach
Local Differential Privacy in Graph Neural Networks: a Reconstruction Approach
Karuna Bhaila
Wen Huang
Yongkai Wu
Xintao Wu
44
7
0
15 Sep 2023
Research on Joint Representation Learning Methods for Entity
  Neighborhood Information and Description Information
Research on Joint Representation Learning Methods for Entity Neighborhood Information and Description Information
Le Xiao
Xin Shan
Yuhua Wang
Miaolei Deng
GNN
44
0
0
15 Sep 2023
GRID: Scene-Graph-based Instruction-driven Robotic Task Planning
GRID: Scene-Graph-based Instruction-driven Robotic Task Planning
Zhe Ni
Xiao-Xin Deng
Cong Tai
Xin-Yue Zhu
Qinghongbing Xie
Yang Liu
Xiang Wu
Long Zeng
LM&Ro
93
15
0
14 Sep 2023
Semi-supervised Domain Adaptation on Graphs with Contrastive Learning
  and Minimax Entropy
Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy
Jiaren Xiao
Quanyu Dai
X. Shen
Xiaochen Xie
Jing Dai
James Lam
Ka-Wai Kwok
59
7
0
14 Sep 2023
Attention-based Dynamic Graph Convolutional Recurrent Neural Network for
  Traffic Flow Prediction in Highway Transportation
Attention-based Dynamic Graph Convolutional Recurrent Neural Network for Traffic Flow Prediction in Highway Transportation
Tianpu Zhang
Weilong Ding
Mengda Xing
GNNAI4TS
61
0
0
13 Sep 2023
Bregman Graph Neural Network
Bregman Graph Neural Network
Jiayu Zhai
Lequan Lin
Dai Shi
Junbin Gao
40
4
0
12 Sep 2023
SAF: Smart Aggregation Framework for Revealing Atoms Importance Rank and
  Improving Prediction Rates in Drug Discovery
SAF: Smart Aggregation Framework for Revealing Atoms Importance Rank and Improving Prediction Rates in Drug Discovery
Ronen Taub
Y. Savir
56
0
0
12 Sep 2023
Fg-T2M: Fine-Grained Text-Driven Human Motion Generation via Diffusion
  Model
Fg-T2M: Fine-Grained Text-Driven Human Motion Generation via Diffusion Model
Yin Wang
Zhiying Leng
Frederick W. B. Li
Shun-cheng Wu
Xiaohui Liang
DiffM
55
60
0
12 Sep 2023
OTAS: Unsupervised Boundary Detection for Object-Centric Temporal Action
  Segmentation
OTAS: Unsupervised Boundary Detection for Object-Centric Temporal Action Segmentation
Yuerong Li
Zhengrong Xue
Huazhe Xu
90
4
0
12 Sep 2023
GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection
GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection
Yufei Li
Yanchi Liu
Haoyu Wang
Zhengzhang Chen
Wei Cheng
Yuncong Chen
Wenchao Yu
Haifeng Chen
Cong Liu
62
6
0
12 Sep 2023
Learning the Geodesic Embedding with Graph Neural Networks
Learning the Geodesic Embedding with Graph Neural Networks
Bo Pang
Zhongtian Zheng
Guoping Wang
Peng-Shuai Wang
GNN
58
7
0
11 Sep 2023
A Co-design Study for Multi-Stakeholder Job Recommender System
  Explanations
A Co-design Study for Multi-Stakeholder Job Recommender System Explanations
Roan Schellingerhout
Francesco Barile
N. Tintarev
25
5
0
11 Sep 2023
A parameterised model for link prediction using node centrality and
  similarity measure based on graph embedding
A parameterised model for link prediction using node centrality and similarity measure based on graph embedding
Haohui Lu
Mohammed Shahadat Uddin
87
7
0
11 Sep 2023
A physics-informed and attention-based graph learning approach for
  regional electric vehicle charging demand prediction
A physics-informed and attention-based graph learning approach for regional electric vehicle charging demand prediction
Haohao Qu
Haoxuan Kuang
Jun Li
Linlin You
GNN
41
26
0
11 Sep 2023
Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle
  Counting Power
Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power
Junru Zhou
Jiarui Feng
Xiyuan Wang
Muhan Zhang
100
9
0
10 Sep 2023
Symplectic Structure-Aware Hamiltonian (Graph) Embeddings
Symplectic Structure-Aware Hamiltonian (Graph) Embeddings
Jiaxu Liu
Xinping Yi
Tianle Zhang
Xiaowei Huang
47
0
0
09 Sep 2023
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering
Si-Yu Yi
Wei Ju
Yifang Qin
Xiao Luo
Luchen Liu
Yong-Dao Zhou
Ming Zhang
125
25
0
09 Sep 2023
Graph Neural Networks Use Graphs When They Shouldn't
Graph Neural Networks Use Graphs When They Shouldn't
Maya Bechler-Speicher
Ido Amos
Ran Gilad-Bachrach
Amir Globerson
GNNAI4CE
45
15
0
08 Sep 2023
Spatial-Temporal Graph Attention Fuser for Calibration in IoT Air
  Pollution Monitoring Systems
Spatial-Temporal Graph Attention Fuser for Calibration in IoT Air Pollution Monitoring Systems
Keivan Faghih Niresi
Mengjie Zhao
Hugo Bissig
Henri Baumann
Olga Fink
70
4
0
08 Sep 2023
Curve Your Attention: Mixed-Curvature Transformers for Graph
  Representation Learning
Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning
Sungjun Cho
Seunghyuk Cho
Sungwoo Park
Hankook Lee
Ho Hin Lee
Moontae Lee
111
7
0
08 Sep 2023
ProvG-Searcher: A Graph Representation Learning Approach for Efficient
  Provenance Graph Search
ProvG-Searcher: A Graph Representation Learning Approach for Efficient Provenance Graph Search
Enes Altinisik
Fatih Deniz
Husrev Taha Sencar
75
22
0
07 Sep 2023
Filtration Surfaces for Dynamic Graph Classification
Filtration Surfaces for Dynamic Graph Classification
Franz Srambical
Bastian Rieck
66
1
0
07 Sep 2023
DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using
  Graph Partitioning by Chunks
DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using Graph Partitioning by Chunks
Fahao Chen
Peng Li
Celimuge Wu
GNN
58
4
0
07 Sep 2023
Blink: Link Local Differential Privacy in Graph Neural Networks via
  Bayesian Estimation
Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation
Xiaochen Zhu
Vincent Y. F. Tan
Xiaokui Xiao
116
12
0
06 Sep 2023
ViCGCN: Graph Convolutional Network with Contextualized Language Models
  for Social Media Mining in Vietnamese
ViCGCN: Graph Convolutional Network with Contextualized Language Models for Social Media Mining in Vietnamese
Chau-Thang Phan
Quoc-Nam Nguyen
Chi-Thanh Dang
Trong-Hop Do
Kiet Van Nguyen
GNN
45
1
0
06 Sep 2023
Unifying over-smoothing and over-squashing in graph neural networks: A
  physics informed approach and beyond
Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond
Zhiqi Shao
Dai Shi
Andi Han
Yi Guo
Qianchuan Zhao
Junbin Gao
79
12
0
06 Sep 2023
Towards Unsupervised Graph Completion Learning on Graphs with Features
  and Structure Missing
Towards Unsupervised Graph Completion Learning on Graphs with Features and Structure Missing
Sichao Fu
Qinmu Peng
Yang He
Baokun Du
Xinge You
69
2
0
06 Sep 2023
Structural Concept Learning via Graph Attention for Multi-Level
  Rearrangement Planning
Structural Concept Learning via Graph Attention for Multi-Level Rearrangement Planning
Manav Kulshrestha
A. H. Qureshi
3DPC
97
6
0
05 Sep 2023
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