ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1710.10903
  4. Cited By
Graph Attention Networks

Graph Attention Networks

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

Papers citing "Graph Attention Networks"

50 / 2,668 papers shown
Title
Modeling Unified Semantic Discourse Structure for High-quality Headline
  Generation
Modeling Unified Semantic Discourse Structure for High-quality Headline Generation
Minghui Xu
Hao Fei
Fei Li
Shengqiong Wu
Rui Sun
Chong Teng
Donghong Ji
32
0
0
23 Mar 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for
  Neural Networks
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks
Tangjun Wang
Chenglong Bao
Zuoqiang Shi
DiffM
49
0
0
23 Mar 2024
Unified Static and Dynamic Network: Efficient Temporal Filtering for Video Grounding
Unified Static and Dynamic Network: Efficient Temporal Filtering for Video Grounding
Jingjing Hu
Dan Guo
Kun Li
Zhan Si
Xun Yang
Xiaojun Chang
Meng Wang
61
3
0
21 Mar 2024
Contextualized Messages Boost Graph Representations
Contextualized Messages Boost Graph Representations
Brian Godwin Lim
Galvin Brice Lim
Renzo Roel Tan
Kazushi Ikeda
AI4CE
72
2
0
19 Mar 2024
CASPER: Causality-Aware Spatiotemporal Graph Neural Networks for
  Spatiotemporal Time Series Imputation
CASPER: Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation
Baoyu Jing
Dawei Zhou
Kan Ren
Carl Yang
CML
AI4TS
32
6
0
18 Mar 2024
Semantic-Enhanced Representation Learning for Road Networks with
  Temporal Dynamics
Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics
Yile Chen
Xiucheng Li
Gao Cong
Zhifeng Bao
Cheng Long
21
2
0
18 Mar 2024
FlyKD: Graph Knowledge Distillation on the Fly with Curriculum Learning
FlyKD: Graph Knowledge Distillation on the Fly with Curriculum Learning
Eugene Ku
23
0
0
16 Mar 2024
Dynamic Graph Representation with Knowledge-aware Attention for
  Histopathology Whole Slide Image Analysis
Dynamic Graph Representation with Knowledge-aware Attention for Histopathology Whole Slide Image Analysis
Jiawen Li
Yuxuan Chen
Hongbo Chu
Qiehe Sun
Tian Guan
Anjia Han
Yonghong He
40
26
0
12 Mar 2024
Uncertainty in Graph Neural Networks: A Survey
Uncertainty in Graph Neural Networks: A Survey
Fangxin Wang
Yuqing Liu
Kay Liu
Yibo Wang
Sourav Medya
Philip S. Yu
AI4CE
48
8
0
11 Mar 2024
Ant Colony Sampling with GFlowNets for Combinatorial Optimization
Ant Colony Sampling with GFlowNets for Combinatorial Optimization
Minsu Kim
Sanghyeok Choi
Hyeon-Seob Kim
Jiwoo Son
Jinkyoo Park
Yoshua Bengio
43
23
0
11 Mar 2024
Node Centrality Approximation For Large Networks Based On Inductive
  Graph Neural Networks
Node Centrality Approximation For Large Networks Based On Inductive Graph Neural Networks
Yiwei Zou
Ting Li
Zong-fu Luo
GNN
37
0
0
08 Mar 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise,
  Privacy and OOD Challenges
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges
Wei Ju
Siyu Yi
Yifan Wang
Zhiping Xiao
Zhengyan Mao
...
Senzhang Wang
Xinwang Liu
Xiao Luo
Philip S. Yu
Ming Zhang
AI4CE
36
35
0
07 Mar 2024
A Teacher-Free Graph Knowledge Distillation Framework with Dual
  Self-Distillation
A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation
Lirong Wu
Haitao Lin
Zhangyang Gao
Guojiang Zhao
Stan Z. Li
40
8
0
06 Mar 2024
Self-Attention Empowered Graph Convolutional Network for Structure
  Learning and Node Embedding
Self-Attention Empowered Graph Convolutional Network for Structure Learning and Node Embedding
Mengying Jiang
Guizhong Liu
Yuanchao Su
Xinliang Wu
GNN
SSL
32
2
0
06 Mar 2024
MiKASA: Multi-Key-Anchor & Scene-Aware Transformer for 3D Visual
  Grounding
MiKASA: Multi-Key-Anchor & Scene-Aware Transformer for 3D Visual Grounding
Chun-Peng Chang
Shaoxiang Wang
A. Pagani
Didier Stricker
40
7
0
05 Mar 2024
A Second Look on BASS -- Boosting Abstractive Summarization with Unified
  Semantic Graphs -- A Replication Study
A Second Look on BASS -- Boosting Abstractive Summarization with Unified Semantic Graphs -- A Replication Study
Osman Alperen Koras
Jorg Schlotterer
Christin Seifert
34
1
0
05 Mar 2024
Semi-Supervised Graph Representation Learning with Human-centric
  Explanation for Predicting Fatty Liver Disease
Semi-Supervised Graph Representation Learning with Human-centric Explanation for Predicting Fatty Liver Disease
So Yeon Kim
Sehee Wang
Eun Kyung Choe
26
0
0
05 Mar 2024
A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods
A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods
Hanlei Jin
Yang Zhang
Dan Meng
Jun Wang
Jinghua Tan
68
80
0
05 Mar 2024
CET2: Modelling Topic Transitions for Coherent and Engaging
  Knowledge-Grounded Conversations
CET2: Modelling Topic Transitions for Coherent and Engaging Knowledge-Grounded Conversations
Lin Xu
Qixian Zhou
Jinlan Fu
See-Kiong Ng
36
0
0
04 Mar 2024
Teaching MLP More Graph Information: A Three-stage Multitask Knowledge
  Distillation Framework
Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework
Junxian Li
Bin Shi
Erfei Cui
Hua Wei
Qinghua Zheng
46
0
0
02 Mar 2024
Why Attention Graphs Are All We Need: Pioneering Hierarchical
  Classification of Hematologic Cell Populations with LeukoGraph
Why Attention Graphs Are All We Need: Pioneering Hierarchical Classification of Hematologic Cell Populations with LeukoGraph
Fatemeh Nassajian Mojarrad
Lorenzo Bini
Thomas Matthes
Stéphane Marchand-Maillet
27
1
0
28 Feb 2024
Hierarchical Multi-Relational Graph Representation Learning for
  Large-Scale Prediction of Drug-Drug Interactions
Hierarchical Multi-Relational Graph Representation Learning for Large-Scale Prediction of Drug-Drug Interactions
Mengying Jiang
Guizhong Liu
Yuanchao Su
Weiqiang Jin
Biao Zhao
21
2
0
28 Feb 2024
RAGFormer: Learning Semantic Attributes and Topological Structure for Fraud Detection
RAGFormer: Learning Semantic Attributes and Topological Structure for Fraud Detection
Haolin Li
Shuyang Jiang
Lifeng Zhang
Siyuan Du
Guangnan Ye
Hongfeng Chai
24
0
0
27 Feb 2024
CARTE: Pretraining and Transfer for Tabular Learning
CARTE: Pretraining and Transfer for Tabular Learning
Myung Jun Kim
Léo Grinsztajn
Gaël Varoquaux
LMTD
62
13
0
26 Feb 2024
Two-stage Generative Question Answering on Temporal Knowledge Graph
  Using Large Language Models
Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models
Yifu Gao
Linbo Qiao
Zhigang Kan
Zhihua Wen
Yongquan He
Dongsheng Li
54
6
0
26 Feb 2024
TREC: APT Tactic / Technique Recognition via Few-Shot Provenance
  Subgraph Learning
TREC: APT Tactic / Technique Recognition via Few-Shot Provenance Subgraph Learning
Mingqi Lv
HongZhe Gao
Xuebo Qiu
Tieming Chen
Tiantian Zhu
35
2
0
23 Feb 2024
Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory
Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory
Weichen Zhao
Chenguang Wang
Xinyan Wang
Congying Han
Tiande Guo
Tianshu Yu
44
0
0
23 Feb 2024
CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph
  Neural Networks
CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks
Yifan Duan
Guibin Zhang
Shilong Wang
Xiaojiang Peng
Ziqi Wang
Junyuan Mao
Hao Wu
Xinke Jiang
Kun Wang
41
6
0
22 Feb 2024
Multi-modal Stance Detection: New Datasets and Model
Multi-modal Stance Detection: New Datasets and Model
Bin Liang
Ang Li
Jingqian Zhao
Lin Gui
Min Yang
Yue Yu
Kam-Fai Wong
Ruifeng Xu
39
5
0
22 Feb 2024
AttackGNN: Red-Teaming GNNs in Hardware Security Using Reinforcement
  Learning
AttackGNN: Red-Teaming GNNs in Hardware Security Using Reinforcement Learning
Vasudev Gohil
Satwik Patnaik
D. Kalathil
Jeyavijayan Rajendran
AAML
40
3
0
21 Feb 2024
DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based
  Graph Continual Learning
DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning
Seungyoon Choi
Wonjoong Kim
Sungwon Kim
Yeonjun In
Sein Kim
Chanyoung Park
CLL
30
4
0
21 Feb 2024
LinkSAGE: Optimizing Job Matching Using Graph Neural Networks
LinkSAGE: Optimizing Job Matching Using Graph Neural Networks
Ping Liu
Haichao Wei
Xiaochen Hou
Jianqiang Shen
Shihai He
...
Liang Wu
S. Veeraraghavan
Alex Tsun
Chen-Chen Jiang
Wenjing Zhang
27
2
0
20 Feb 2024
GNNavi: Navigating the Information Flow in Large Language Models by
  Graph Neural Network
GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network
Shuzhou Yuan
Ercong Nie
Michael Farber
Helmut Schmid
Hinrich Schütze
37
3
0
18 Feb 2024
PASCL: Supervised Contrastive Learning with Perturbative Augmentation
  for Particle Decay Reconstruction
PASCL: Supervised Contrastive Learning with Perturbative Augmentation for Particle Decay Reconstruction
Junjian Lu
Siwei Liu
Dmitrii Kobylianski
Etienne Dreyer
Eilam Gross
Houcheng Su
32
3
0
18 Feb 2024
Graph Out-of-Distribution Generalization via Causal Intervention
Graph Out-of-Distribution Generalization via Causal Intervention
Qitian Wu
Fan Nie
Chenxiao Yang
Tianyi Bao
Junchi Yan
OODD
OOD
AI4CE
40
18
0
18 Feb 2024
Robust Training of Temporal GNNs using Nearest Neighbours based Hard
  Negatives
Robust Training of Temporal GNNs using Nearest Neighbours based Hard Negatives
Shubham Gupta
Srikanta J. Bedathur
OOD
28
1
0
14 Feb 2024
Safe Distributed Control of Multi-Robot Systems with Communication Delays
Safe Distributed Control of Multi-Robot Systems with Communication Delays
Luca Ballotta
Rajat Talak
AI4CE
26
1
0
14 Feb 2024
Universal Link Predictor By In-Context Learning on Graphs
Universal Link Predictor By In-Context Learning on Graphs
Kaiwen Dong
Haitao Mao
Zhichun Guo
Nitesh V. Chawla
23
4
0
12 Feb 2024
Continual Learning on Graphs: A Survey
Continual Learning on Graphs: A Survey
Zonggui Tian
Duanhao Zhang
Hong-Ning Dai
47
5
0
09 Feb 2024
Descriptive Kernel Convolution Network with Improved Random Walk Kernel
Descriptive Kernel Convolution Network with Improved Random Walk Kernel
Meng-Chieh Lee
Lingxiao Zhao
L. Akoglu
23
3
0
08 Feb 2024
Navigating Complexity: Toward Lossless Graph Condensation via Expanding
  Window Matching
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching
Yuchen Zhang
Tianle Zhang
Kai Wang
Ziyao Guo
Yuxuan Liang
Xavier Bresson
Wei Jin
Yang You
34
23
0
07 Feb 2024
Adaptive Hypergraph Network for Trust Prediction
Adaptive Hypergraph Network for Trust Prediction
Rongwei Xu
Guanfeng Liu
Yan Wang
Xuyun Zhang
Kai Zheng
Xiaofang Zhou
21
0
0
07 Feb 2024
Incorporating Retrieval-based Causal Learning with Information
  Bottlenecks for Interpretable Graph Neural Networks
Incorporating Retrieval-based Causal Learning with Information Bottlenecks for Interpretable Graph Neural Networks
Jiahua Rao
Jiancong Xie
Hanjing Lin
Shuangjia Zheng
Zhen Wang
Yuedong Yang
23
0
0
07 Feb 2024
Triplet Interaction Improves Graph Transformers: Accurate Molecular
  Graph Learning with Triplet Graph Transformers
Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers
Md Shamim Hussain
Mohammed J. Zaki
D. Subramanian
ViT
36
5
0
07 Feb 2024
Investigating Generalization Behaviours of Generative Flow Networks
Investigating Generalization Behaviours of Generative Flow Networks
Lazar Atanackovic
Emmanuel Bengio
AI4CE
30
2
0
07 Feb 2024
CADReN: Contextual Anchor-Driven Relational Network for Controllable
  Cross-Graphs Node Importance Estimation
CADReN: Contextual Anchor-Driven Relational Network for Controllable Cross-Graphs Node Importance Estimation
Zijie Zhong
Yunhui Zhang
Ziyi Chang
Zengchang Qin
GNN
25
0
0
06 Feb 2024
Understanding and Guiding Weakly Supervised Entity Alignment with
  Potential Isomorphism Propagation
Understanding and Guiding Weakly Supervised Entity Alignment with Potential Isomorphism Propagation
Yuanyi Wang
Wei Tang
Haifeng Sun
Zirui Zhuang
Xiaoyuan Fu
Jingyu Wang
Qi Qi
Jianxin Liao
28
1
0
05 Feb 2024
DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation
DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation
Yuan Gao
Haokun Chen
Xiang Wang
Zhicai Wang
Xue Wang
Jinyang Gao
Bolin Ding
45
6
0
05 Feb 2024
Overcoming Order in Autoregressive Graph Generation
Overcoming Order in Autoregressive Graph Generation
Edo Cohen-Karlik
Eyal Rozenberg
Daniel Freedman
34
1
0
04 Feb 2024
Generating In-Distribution Proxy Graphs for Explaining Graph Neural
  Networks
Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks
Zhuomin Chen
Jiaxing Zhang
Jingchao Ni
Xiaoting Li
Yuchen Bian
Md. Mezbahul Islam
A. Mondal
Hua Wei
Dongsheng Luo
18
1
0
03 Feb 2024
Previous
123...8910...525354
Next