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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
Normalized Space Alignment: A Versatile Metric for Representation
  Analysis
Normalized Space Alignment: A Versatile Metric for Representation Analysis
Danish Ebadulla
Aditya Gulati
Ambuj Singh
417
0
0
07 Nov 2024
GPT-Guided Monte Carlo Tree Search for Symbolic Regression in Financial
  Fraud Detection
GPT-Guided Monte Carlo Tree Search for Symbolic Regression in Financial Fraud Detection
Prashank Kadam
34
1
0
07 Nov 2024
Enhancing Financial Fraud Detection with Human-in-the-Loop Feedback and
  Feedback Propagation
Enhancing Financial Fraud Detection with Human-in-the-Loop Feedback and Feedback Propagation
Prashank Kadam
97
0
0
07 Nov 2024
Financial Fraud Detection using Jump-Attentive Graph Neural Networks
Financial Fraud Detection using Jump-Attentive Graph Neural Networks
Prashank Kadam
GNN
54
1
0
07 Nov 2024
GaGSL: Global-augmented Graph Structure Learning via Graph Information
  Bottleneck
GaGSL: Global-augmented Graph Structure Learning via Graph Information Bottleneck
Shuangjie Li
Jiangqing Song
Baoming Zhang
Gaoli Ruan
Junyuan Xie
Chongjun Wang
72
1
0
07 Nov 2024
ComFairGNN: Community Fair Graph Neural Network
ComFairGNN: Community Fair Graph Neural Network
Yonas Sium
Qi Li
149
0
0
07 Nov 2024
Equivariant Graph Network Approximations of High-Degree Polynomials for
  Force Field Prediction
Equivariant Graph Network Approximations of High-Degree Polynomials for Force Field Prediction
Zhao Xu
Haiyang Yu
Montgomery Bohde
Shuiwang Ji
87
2
0
06 Nov 2024
Assessing and Enhancing Graph Neural Networks for Combinatorial
  Optimization: Novel Approaches and Application in Maximum Independent Set
  Problems
Assessing and Enhancing Graph Neural Networks for Combinatorial Optimization: Novel Approaches and Application in Maximum Independent Set Problems
Chenchuhui Hu
71
0
0
06 Nov 2024
UnityGraph: Unified Learning of Spatio-temporal features for
  Multi-person Motion Prediction
UnityGraph: Unified Learning of Spatio-temporal features for Multi-person Motion Prediction
Kehua Qu
Rui Ding
Jin Tang
3DH
84
0
0
06 Nov 2024
Relation Learning and Aggregate-attention for Multi-person Motion
  Prediction
Relation Learning and Aggregate-attention for Multi-person Motion Prediction
Kehua Qu
Rui Ding
Jin Tang
3DH
127
0
0
06 Nov 2024
Can Graph Neural Networks Expose Training Data Properties? An Efficient
  Risk Assessment Approach
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach
Hanyang Yuan
Jiarong Xu
Renhong Huang
Mingli Song
Chunping Wang
Yang Yang
AAML
101
1
0
06 Nov 2024
SEGMN: A Structure-Enhanced Graph Matching Network for Graph Similarity
  Learning
SEGMN: A Structure-Enhanced Graph Matching Network for Graph Similarity Learning
Wenjun Wang
Jiacheng Lu
Kejia Chen
Zheng Liu
Shilong Sang
28
0
0
06 Nov 2024
Reconsidering the Performance of GAE in Link Prediction
Reconsidering the Performance of GAE in Link Prediction
Weishuo Ma
Yanbo Wang
Xiang Wang
Muhan Zhang
95
1
0
06 Nov 2024
Two-Stage Pretraining for Molecular Property Prediction in the Wild
Two-Stage Pretraining for Molecular Property Prediction in the Wild
Kevin Tirta Wijaya
Minghao Guo
Michael Sun
Hans-Peter Seidel
Wojciech Matusik
Vahid Babaei
AI4CE
67
0
0
05 Nov 2024
Beyond Grid Data: Exploring Graph Neural Networks for Earth Observation
Beyond Grid Data: Exploring Graph Neural Networks for Earth Observation
Shan Zhao
Zhaiyu Chen
Zhitong Xiong
Yilei Shi
Sudipan Saha
Xiao Xiang Zhu
AI4CE
86
5
0
05 Nov 2024
DA-MoE: Addressing Depth-Sensitivity in Graph-Level Analysis through
  Mixture of Experts
DA-MoE: Addressing Depth-Sensitivity in Graph-Level Analysis through Mixture of Experts
Zelin Yao
Chuang Liu
Xianke Meng
Yibing Zhan
Hongzhi Zhang
Shirui Pan
Wenbin Hu
66
2
0
05 Nov 2024
SurfGNN: A robust surface-based prediction model with interpretability
  for coactivation maps of spatial and cortical features
SurfGNN: A robust surface-based prediction model with interpretability for coactivation maps of spatial and cortical features
Zhuoshuo Li
Jiong Zhang
Youbing Zeng
Jiaying Lin
Dan Zhang
Jianjia Zhang
Duan Xu
H. Kim
Bingguang Liu
Mengting Liu
58
0
0
05 Nov 2024
DM4Steal: Diffusion Model For Link Stealing Attack On Graph Neural
  Networks
DM4Steal: Diffusion Model For Link Stealing Attack On Graph Neural Networks
Jinyin Chen
Haonan Ma
Haibin Zheng
DiffMAAML
57
0
0
05 Nov 2024
Winemaking: Extracting Essential Insights for Efficient Threat Detection
  in Audit Logs
Winemaking: Extracting Essential Insights for Efficient Threat Detection in Audit Logs
Weiheng Wu
Wei Qiao
Wenhao Yan
Bo-Sian Jiang
Yuling Liu
Baoxu Liu
Zhigang Lu
JunRong Liu
58
0
0
05 Nov 2024
Enhancing Graph Neural Networks in Large-scale Traffic Incident Analysis
  with Concurrency Hypothesis
Enhancing Graph Neural Networks in Large-scale Traffic Incident Analysis with Concurrency Hypothesis
Xiwen Chen
Sayed Pedram Haeri Boroujeni
Xin Shu
Huayu Li
Abolfazl Razi
GNN
91
1
0
04 Nov 2024
Against Multifaceted Graph Heterogeneity via Asymmetric Federated Prompt
  Learning
Against Multifaceted Graph Heterogeneity via Asymmetric Federated Prompt Learning
Zhuoning Guo
Ruiqian Han
Hao Liu
FedML
100
0
0
04 Nov 2024
UnSegMedGAT: Unsupervised Medical Image Segmentation using Graph
  Attention Networks Clustering
UnSegMedGAT: Unsupervised Medical Image Segmentation using Graph Attention Networks Clustering
A. M. Adityaja
Saurabh J. Shigwan
Nitin Kumar
MedIm
87
1
0
04 Nov 2024
HACD: Harnessing Attribute Semantics and Mesoscopic Structure for
  Community Detection
HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community Detection
Anran Zhang
Xingfen Wang
Yuhan Zhao
72
1
0
04 Nov 2024
High-Pass Graph Convolutional Network for Enhanced Anomaly Detection: A
  Novel Approach
High-Pass Graph Convolutional Network for Enhanced Anomaly Detection: A Novel Approach
Shelei Li
Yong Chai Tan
Tai Vincent
70
0
0
04 Nov 2024
GraphXAIN: Narratives to Explain Graph Neural Networks
GraphXAIN: Narratives to Explain Graph Neural Networks
Mateusz Cedro
David Martens
156
0
0
04 Nov 2024
Guiding Genetic Programming with Graph Neural Networks
Guiding Genetic Programming with Graph Neural Networks
Piotr Wyrwiński
Krzysztof Krawiec
52
0
0
03 Nov 2024
Customized Subgraph Selection and Encoding for Drug-drug Interaction
  Prediction
Customized Subgraph Selection and Encoding for Drug-drug Interaction Prediction
Haotong Du
Quanming Yao
Juzheng Zhang
Yong Liu
Zhen Wang
77
3
0
03 Nov 2024
SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning
SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning
Yahel Jacobs
Reut Dayan
Uri Shaham
229
0
0
03 Nov 2024
Multi-Channel Hypergraph Contrastive Learning for Matrix Completion
Multi-Channel Hypergraph Contrastive Learning for Matrix Completion
Xiang Li
Changsheng Shui
Yanwei Yu
Chao Huang
Zhongying Zhao
Junyu Dong
122
0
0
02 Nov 2024
Negative-Free Self-Supervised Gaussian Embedding of Graphs
Negative-Free Self-Supervised Gaussian Embedding of Graphs
Yunhui Liu
Tieke He
Tao Zheng
Jianhua Zhao
SSL
89
2
0
02 Nov 2024
Explainable Spatio-Temporal GCNNs for Irregular Multivariate Time
  Series: Architecture and Application to ICU Patient Data
Explainable Spatio-Temporal GCNNs for Irregular Multivariate Time Series: Architecture and Application to ICU Patient Data
Óscar Escudero-Arnanz
C. Soguero-Ruíz
Antonio G. Marques
AI4TS
65
1
0
01 Nov 2024
Rethinking Node Representation Interpretation through Relation Coherence
Rethinking Node Representation Interpretation through Relation Coherence
Ying-Chun Lin
Jennifer Neville
Cassiano Becker
Purvanshi Metha
Nabiha Asghar
Vipul Agarwal
56
0
0
01 Nov 2024
Graph Neural Networks for Financial Fraud Detection: A Review
Graph Neural Networks for Financial Fraud Detection: A Review
Dawei Cheng
Yao Zou
Sheng Xiang
Changjun Jiang
AI4TS
82
13
0
01 Nov 2024
MBExplainer: Multilevel bandit-based explanations for downstream models
  with augmented graph embeddings
MBExplainer: Multilevel bandit-based explanations for downstream models with augmented graph embeddings
Ashkan Golgoon
Ryan Franks
Khashayar Filom
Arjun Ravi Kannan
107
0
0
01 Nov 2024
Topology-Aware Graph Augmentation for Predicting Clinical Trajectories
  in Neurocognitive Disorders
Topology-Aware Graph Augmentation for Predicting Clinical Trajectories in Neurocognitive Disorders
Qianqian Wang
Wei Wang
Yuqi Fang
Hong-Jun Li
Andrea Bozoki
Mingxia Liu
MedIm
64
0
0
31 Oct 2024
Enhancing Chess Reinforcement Learning with Graph Representation
Enhancing Chess Reinforcement Learning with Graph Representation
Tomas Rigaux
H. Kashima
GNN
65
0
0
31 Oct 2024
Exploring Consistency in Graph Representations:from Graph Kernels to
  Graph Neural Networks
Exploring Consistency in Graph Representations:from Graph Kernels to Graph Neural Networks
Xuyuan Liu
Yinghao Cai
Qihui Yang
Yujun Yan
87
1
0
31 Oct 2024
Towards Dynamic Message Passing on Graphs
Towards Dynamic Message Passing on Graphs
Junshu Sun
Chenxue Yang
Xiangyang Ji
Qingming Huang
Shuhui Wang
85
1
0
31 Oct 2024
LLaMo: Large Language Model-based Molecular Graph Assistant
LLaMo: Large Language Model-based Molecular Graph Assistant
Jinyoung Park
Minseong Bae
Dohwan Ko
Hyunwoo J. Kim
103
3
0
31 Oct 2024
ProTransformer: Robustify Transformers via Plug-and-Play Paradigm
ProTransformer: Robustify Transformers via Plug-and-Play Paradigm
Zhichao Hou
Weizhi Gao
Yuchen Shen
Feiyi Wang
Xiaorui Liu
VLM
70
2
0
30 Oct 2024
Beyond Ontology in Dialogue State Tracking for Goal-Oriented Chatbot
Beyond Ontology in Dialogue State Tracking for Goal-Oriented Chatbot
Sejin Lee
Dongha Kim
Min Song
128
0
0
30 Oct 2024
Extralonger: Toward a Unified Perspective of Spatial-Temporal Factors
  for Extra-Long-Term Traffic Forecasting
Extralonger: Toward a Unified Perspective of Spatial-Temporal Factors for Extra-Long-Term Traffic Forecasting
Zhiwei Zhang
Shaojun E
Fandong Meng
Jie Zhou
Wenjuan Han
64
1
0
30 Oct 2024
PV-VTT: A Privacy-Centric Dataset for Mission-Specific Anomaly Detection
  and Natural Language Interpretation
PV-VTT: A Privacy-Centric Dataset for Mission-Specific Anomaly Detection and Natural Language Interpretation
Ryozo Masukawa
Sanggeon Yun
Yoshiki Yamaguchi
Mohsen Imani
75
1
0
30 Oct 2024
Hypergraph-based multi-scale spatio-temporal graph convolution network
  for Time-Series anomaly detection
Hypergraph-based multi-scale spatio-temporal graph convolution network for Time-Series anomaly detection
Hongyi Xu
AI4TS
27
1
0
29 Oct 2024
Scalable Message Passing Neural Networks: No Need for Attention in Large
  Graph Representation Learning
Scalable Message Passing Neural Networks: No Need for Attention in Large Graph Representation Learning
Haitz Sáez de Ocáriz Borde
Artem Lukoianov
Anastasis Kratsios
Michael M. Bronstein
Xiaowen Dong
GNN
73
2
0
29 Oct 2024
InLINE: Inner-Layer Information Exchange for Multi-task Learning on
  Heterogeneous Graphs
InLINE: Inner-Layer Information Exchange for Multi-task Learning on Heterogeneous Graphs
Xinyue Feng
Jinquan Hang
Yuequn Zhang
Haotian Wang
Desheng Zhang
Guang Wang
126
0
0
29 Oct 2024
Reliable and Compact Graph Fine-tuning via GraphSparse Prompting
Reliable and Compact Graph Fine-tuning via GraphSparse Prompting
Bo Jiang
Hao Wu
Beibei Wang
Jin Tang
Bin Luo
75
0
0
29 Oct 2024
Synergizing LLM Agents and Knowledge Graph for Socioeconomic Prediction
  in LBSN
Synergizing LLM Agents and Knowledge Graph for Socioeconomic Prediction in LBSN
Zhilun Zhou
Jingyang Fan
Yu Liu
Fengli Xu
Depeng Jin
Yong Li
47
1
0
29 Oct 2024
A Hierarchical Language Model For Interpretable Graph Reasoning
A Hierarchical Language Model For Interpretable Graph Reasoning
Sambhav Khurana
Xiner Li
Shurui Gui
Shuiwang Ji
LRM
120
0
0
29 Oct 2024
Graph Sparsification for Enhanced Conformal Prediction in Graph Neural
  Networks
Graph Sparsification for Enhanced Conformal Prediction in Graph Neural Networks
Yuntian He
Pranav Maneriker
Anutam Srinivasan
Aditya T. Vadlamani
Srinivasan Parthasarathy
73
0
0
28 Oct 2024
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