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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 / 3,094 papers shown
Title
Similarity of Neural Network Models: A Survey of Functional and Representational Measures
Similarity of Neural Network Models: A Survey of Functional and Representational Measures
Max Klabunde
Tobias Schumacher
M. Strohmaier
Florian Lemmerich
63
66
0
10 May 2023
Regular Splitting Graph Network for 3D Human Pose Estimation
Regular Splitting Graph Network for 3D Human Pose Estimation
Md. Tanvir Hassan
A. Ben Hamza
3DH
29
19
0
09 May 2023
Message Passing Neural Networks for Traffic Forecasting
Message Passing Neural Networks for Traffic Forecasting
Arian Prabowo
Hao Xue
Wei Shao
Piotr Koniusz
Flora D. Salim
GNN
30
6
0
09 May 2023
Structured Sentiment Analysis as Transition-based Dependency Parsing
Structured Sentiment Analysis as Transition-based Dependency Parsing
Daniel Fernández-González
42
1
0
09 May 2023
Flexible Job Shop Scheduling via Dual Attention Network Based
  Reinforcement Learning
Flexible Job Shop Scheduling via Dual Attention Network Based Reinforcement Learning
Runqing Wang
G. Wang
Jian Sun
Fang Deng
Jie Chen
26
32
0
09 May 2023
SkillQG: Learning to Generate Question for Reading Comprehension
  Assessment
SkillQG: Learning to Generate Question for Reading Comprehension Assessment
Xiaoqiang Wang
Bang Liu
Siliang Tang
Lingfei Wu
29
3
0
08 May 2023
Language Independent Neuro-Symbolic Semantic Parsing for Form
  Understanding
Language Independent Neuro-Symbolic Semantic Parsing for Form Understanding
Bhanu Prakash Voutharoja
Lizhen Qu
Fatemeh Shiri
30
1
0
08 May 2023
Empowering Language Model with Guided Knowledge Fusion for Biomedical
  Document Re-ranking
Empowering Language Model with Guided Knowledge Fusion for Biomedical Document Re-ranking
D. Gupta
Dina Demner-Fushman
29
1
0
07 May 2023
HybridNet: Dual-Branch Fusion of Geometrical and Topological Views for
  VLSI Congestion Prediction
HybridNet: Dual-Branch Fusion of Geometrical and Topological Views for VLSI Congestion Prediction
Yuxiang Zhao
Zhuomin Chai
Yibo Lin
Runsheng Wang
Ru Huang
26
4
0
07 May 2023
Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation
Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation
Deyi Ji
Haoran Wang
Mingyuan Tao
Jianqiang Huang
Xiansheng Hua
Hongtao Lu
35
61
0
06 May 2023
Contrastive Graph Clustering in Curvature Spaces
Contrastive Graph Clustering in Curvature Spaces
Li Sun
Feiyang Wang
Junda Ye
Hao Peng
Philip S. Yu
37
17
0
05 May 2023
Improved Logical Reasoning of Language Models via Differentiable
  Symbolic Programming
Improved Logical Reasoning of Language Models via Differentiable Symbolic Programming
Hanlin Zhang
Jiani Huang
Ziyang Li
Mayur Naik
Eric P. Xing
ReLM
LRM
35
28
0
05 May 2023
Conversational Semantic Parsing using Dynamic Context Graphs
Conversational Semantic Parsing using Dynamic Context Graphs
Parag Jain
Mirella Lapata
54
3
0
04 May 2023
Single Node Injection Label Specificity Attack on Graph Neural Networks
  via Reinforcement Learning
Single Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning
Dayuan Chen
Jian Zhang
Yuqian Lv
Jinhuan Wang
Hongjie Ni
Shanqing Yu
Zhen Wang
Qi Xuan
AAML
33
3
0
04 May 2023
An Exploration of Conditioning Methods in Graph Neural Networks
An Exploration of Conditioning Methods in Graph Neural Networks
Yeskendir Koishekenov
Erik J. Bekkers
AI4CE
50
3
0
03 May 2023
Revisiting Robustness in Graph Machine Learning
Revisiting Robustness in Graph Machine Learning
Lukas Gosch
Daniel Sturm
Simon Geisler
Stephan Günnemann
AAML
OOD
77
22
0
01 May 2023
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs
Haohui Wang
Yuzhen Mao
Yujun Yan
Yaoqing Yang
Jianhui Sun
...
Si Zhang
Alison Hu
Edward Bowen
Tyler Cody
Dawei Zhou
49
2
0
01 May 2023
A Simplified Framework for Contrastive Learning for Node Representations
A Simplified Framework for Contrastive Learning for Node Representations
Ilgee Hong
Huy Tran
Claire Donnat
SSL
24
1
0
01 May 2023
Conditional Graph Information Bottleneck for Molecular Relational
  Learning
Conditional Graph Information Bottleneck for Molecular Relational Learning
Namkyeong Lee
Dongmin Hyun
Gyoung S. Na
Sungwon Kim
Junseok Lee
Chanyoung Park
46
23
0
29 Apr 2023
Unstructured and structured data: Can we have the best of both worlds
  with large language models?
Unstructured and structured data: Can we have the best of both worlds with large language models?
W. Tan
36
1
0
25 Apr 2023
Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold
  Learning
Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold Learning
L. P. Valem
Daniel Carlos Guimarães Pedronette
Longin Jan Latecki
21
5
0
24 Apr 2023
Impact-Oriented Contextual Scholar Profiling using Self-Citation Graphs
Impact-Oriented Contextual Scholar Profiling using Self-Citation Graphs
Yuan Luo
Lei Shi
Mufan Xu
Yuwen Ji
Fengli Xiao
Chunming Hu
Zhiguang Shan
27
9
0
24 Apr 2023
Generative Flow Networks for Precise Reward-Oriented Active Learning on
  Graphs
Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs
Yinchuan Li
Zhigang Li
Wenqian Li
Yunfeng Shao
Yan Zheng
Jianye Hao
32
3
0
24 Apr 2023
TGNN: A Joint Semi-supervised Framework for Graph-level Classification
TGNN: A Joint Semi-supervised Framework for Graph-level Classification
Wei Ju
Xiao Luo
Meng Qu
Yifan Wang
C. L. Philip Chen
Minghua Deng
Xiansheng Hua
Ming Zhang
21
34
0
23 Apr 2023
Segment Anything in Non-Euclidean Domains: Challenges and Opportunities
Segment Anything in Non-Euclidean Domains: Challenges and Opportunities
Yongcheng Jing
Xinchao Wang
Dacheng Tao
54
21
0
23 Apr 2023
Bi-Level Attention Graph Neural Networks
Bi-Level Attention Graph Neural Networks
Roshni G. Iyer
Wen Wang
Yizhou Sun
GNN
31
17
0
23 Apr 2023
Gradient Derivation for Learnable Parameters in Graph Attention Networks
Gradient Derivation for Learnable Parameters in Graph Attention Networks
Marion Neumeier
Andreas Tollkühn
S. Dorn
M. Botsch
Wolfgang Utschick
13
1
0
21 Apr 2023
Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs
Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs
Matthieu Cordonnier
Nicolas Keriven
Nicolas M Tremblay
Samuel Vaiter
GNN
49
7
0
21 Apr 2023
On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model,
  Data, and Training
On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training
Hao Fei
Tat-Seng Chua
Chenliang Li
Donghong Ji
Meishan Zhang
Yafeng Ren
35
39
0
19 Apr 2023
GrOVe: Ownership Verification of Graph Neural Networks using Embeddings
GrOVe: Ownership Verification of Graph Neural Networks using Embeddings
Asim Waheed
Vasisht Duddu
Nadarajah Asokan
40
9
0
17 Apr 2023
Exploring 360-Degree View of Customers for Lookalike Modeling
Exploring 360-Degree View of Customers for Lookalike Modeling
Md. Mostafizur Rahman
Daisuke Kikuta
Satyen Abrol
Yuya Hirate
Toyotaro Suzumura
Pablo S. Loyola
Takuma Ebisu
Manoj Kondapaka
27
5
0
17 Apr 2023
Multi-View Graph Representation Learning Beyond Homophily
Multi-View Graph Representation Learning Beyond Homophily
Bei Lin
You Li
Ning Gui
Zhuopeng Xu
Zhiwu Yu
SSL
33
6
0
15 Apr 2023
Symbiotic Message Passing Model for Transfer Learning between
  Anti-Fungal and Anti-Bacterial Domains
Symbiotic Message Passing Model for Transfer Learning between Anti-Fungal and Anti-Bacterial Domains
Ronen Taub
Tanya Wasserman
Y. Savir
24
0
0
14 Apr 2023
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate
  Over-Smoothing
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing
Zhaoliang Chen
Zhihao Wu
Zhe-Hui Lin
Shiping Wang
Claudia Plant
Wenzhong Guo
29
18
0
14 Apr 2023
A-CAP: Anticipation Captioning with Commonsense Knowledge
A-CAP: Anticipation Captioning with Commonsense Knowledge
D. Vo
Quoc-An Luong
Akihiro Sugimoto
Hideki Nakayama
27
2
0
13 Apr 2023
LasUIE: Unifying Information Extraction with Latent Adaptive
  Structure-aware Generative Language Model
LasUIE: Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language Model
Hao Fei
Shengqiong Wu
Jingye Li
Bobo Li
Fei Li
Libo Qin
Meishan Zhang
Hao Fei
Tat-Seng Chua
31
76
0
13 Apr 2023
Best Practices for 2-Body Pose Forecasting
Best Practices for 2-Body Pose Forecasting
Muhammad Rameez Ur Rahman
Luca Scofano
Edoardo De Matteis
Alessandro Flaborea
Alessio Sampieri
Fabio Galasso
33
9
0
12 Apr 2023
Dynamic Graph Representation Learning with Neural Networks: A Survey
Dynamic Graph Representation Learning with Neural Networks: A Survey
Leshanshui Yang
Sébastien Adam
Clément Chatelain
AI4TS
AI4CE
44
14
0
12 Apr 2023
Real-time Trajectory-based Social Group Detection
Real-time Trajectory-based Social Group Detection
Simindokht Jahangard
Munawar Hayat
Hamid Rezatofighi
26
2
0
12 Apr 2023
SuperpixelGraph: Semi-automatic generation of building footprint through
  semantic-sensitive superpixel and neural graph networks
SuperpixelGraph: Semi-automatic generation of building footprint through semantic-sensitive superpixel and neural graph networks
Haojia Yu
Han Hu
Bo Xu
Qisen Shang
Zhendong Wang
Qing Zhu
36
5
0
12 Apr 2023
Decoupling anomaly discrimination and representation learning:
  self-supervised learning for anomaly detection on attributed graph
Decoupling anomaly discrimination and representation learning: self-supervised learning for anomaly detection on attributed graph
Yanming Hu
Chuan Chen
Bowen Deng
Yujing Lai
Hao Lin
Zibin Zheng
Jing Bian
37
1
0
11 Apr 2023
TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time
  Series Classification
TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification
Huaiyuan Liu
Xianzhang Liu
Donghua Yang
Zhiyu Liang
Hongzhi Wang
Yong Cui
Jun Gu
AI4TS
41
28
0
11 Apr 2023
Scallop: A Language for Neurosymbolic Programming
Scallop: A Language for Neurosymbolic Programming
Ziyang Li
Jiani Huang
Mayur Naik
ReLM
LRM
NAI
34
30
0
10 Apr 2023
Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via
  Prompt Augmented by ChatGPT
Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT
Jiawei Zhang
LRM
45
76
0
10 Apr 2023
InstructBio: A Large-scale Semi-supervised Learning Paradigm for
  Biochemical Problems
InstructBio: A Large-scale Semi-supervised Learning Paradigm for Biochemical Problems
Fang Wu
Huiling Qin
Siyuan Li
Stan Z. Li
Xianyuan Zhan
Jinbo Xu
34
5
0
08 Apr 2023
Graph Attention for Automated Audio Captioning
Graph Attention for Automated Audio Captioning
Feiyang Xiao
Jian Guan
Qiaoxi Zhu
Wenwu Wang
22
8
0
07 Apr 2023
BS-GAT Behavior Similarity Based Graph Attention Network for Network
  Intrusion Detection
BS-GAT Behavior Similarity Based Graph Attention Network for Network Intrusion Detection
Yalu Wang
Zhijie Han
Jie Li
Xin He
32
1
0
07 Apr 2023
Distributional Signals for Node Classification in Graph Neural Networks
Distributional Signals for Node Classification in Graph Neural Networks
Feng Ji
See Hian Lee
Kai Zhao
Wee Peng Tay
Jielong Yang
16
2
0
07 Apr 2023
GIF: A General Graph Unlearning Strategy via Influence Function
GIF: A General Graph Unlearning Strategy via Influence Function
Jiancan Wu
Yi Yang
Yuchun Qian
Yongduo Sui
Xiang Wang
Xiangnan He
MU
46
51
0
06 Apr 2023
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit
  Diversity Modeling
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling
Haotao Wang
Ziyu Jiang
Yuning You
Yan Han
Gaowen Liu
Jayanth Srinivasa
Ramana Rao Kompella
Zhangyang Wang
36
29
0
06 Apr 2023
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