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Graph Attention Networks

Graph Attention Networks

30 October 2017
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lió
Yoshua Bengio
    GNN
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Papers citing "Graph Attention Networks"

50 / 2,589 papers shown
Title
Scalable Graph Compressed Convolutions
Scalable Graph Compressed Convolutions
Junshu Sun
Chen Yang
Shuhui Wang
Qingming Huang
GNN
45
0
0
26 Jul 2024
Graph Neural Networks for Virtual Sensing in Complex Systems: Addressing Heterogeneous Temporal Dynamics
Graph Neural Networks for Virtual Sensing in Complex Systems: Addressing Heterogeneous Temporal Dynamics
Mengjie Zhao
C. Taal
Stephan Baggerohr
Olga Fink
AI4CE
30
2
0
26 Jul 2024
RIDA: A Robust Attack Framework on Incomplete Graphs
RIDA: A Robust Attack Framework on Incomplete Graphs
Jianke Yu
Hanchen Wang
Chen Chen
Xiaoyang Wang
Wenjie Zhang
Ying Zhang
Ying Zhang
Xijuan Liu
GNN
OOD
AAML
41
1
0
25 Jul 2024
Unifying Invariant and Variant Features for Graph Out-of-Distribution
  via Probability of Necessity and Sufficiency
Unifying Invariant and Variant Features for Graph Out-of-Distribution via Probability of Necessity and Sufficiency
Xuexin Chen
Ruichu Cai
Kaitao Zheng
Zhifan Jiang
Zhengting Huang
Zhifeng Hao
Zijian Li
54
0
0
21 Jul 2024
Krait: A Backdoor Attack Against Graph Prompt Tuning
Krait: A Backdoor Attack Against Graph Prompt Tuning
Ying Song
Rita Singh
Balaji Palanisamy
AAML
55
0
0
18 Jul 2024
Graph Dimension Attention Networks for Enterprise Credit Assessment
Graph Dimension Attention Networks for Enterprise Credit Assessment
Shaopeng Wei
Béni Egressy
Xingyan Chen
Yu Zhao
Fuzhen Zhuang
Roger Wattenhofer
Gang Kou
37
0
0
16 Jul 2024
Length-Aware Motion Synthesis via Latent Diffusion
Length-Aware Motion Synthesis via Latent Diffusion
Alessio Sampieri
Alessio Palma
Indro Spinelli
Fabio Galasso
VGen
DiffM
46
7
0
16 Jul 2024
Accounting for Work Zone Disruptions in Traffic Flow Forecasting
Accounting for Work Zone Disruptions in Traffic Flow Forecasting
Yuanjie Lu
Amarda Shehu
David Lattanzi
GNN
32
0
0
16 Jul 2024
DeepGate3: Towards Scalable Circuit Representation Learning
DeepGate3: Towards Scalable Circuit Representation Learning
Zhengyuan Shi
Ziyang Zheng
Sadaf Khan
Qiang Xu
Min Li
Qiang Xu
GNN
AI4CE
38
8
0
15 Jul 2024
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling
Lecheng Kong
Jiarui Feng
Hao Liu
Chengsong Huang
Jiaxin Huang
Yixin Chen
Muhan Zhang
AI4CE
77
6
0
12 Jul 2024
Deep Inverse Design for High-Level Synthesis
Deep Inverse Design for High-Level Synthesis
Ping Chang
Tosiron Adegbija
Yuchao Liao
Claudio Talarico
Ao Li
Janet Roveda
30
0
0
11 Jul 2024
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain
  Adaptation
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation
Meihan Liu
Zhen Zhang
Jiachen Tang
Jiajun Bu
Bingsheng He
Sheng Zhou
33
3
0
09 Jul 2024
Uni-ELF: A Multi-Level Representation Learning Framework for Electrolyte
  Formulation Design
Uni-ELF: A Multi-Level Representation Learning Framework for Electrolyte Formulation Design
Boshen Zeng
Sian Chen
Xinxin Liu
Changhong Chen
Bin Deng
Xiaoxu Wang
Zhifeng Gao
Yuzhi Zhang
Weinan E
Linfeng Zhang
15
1
0
08 Jul 2024
Generalizing Graph Transformers Across Diverse Graphs and Tasks via
  Pre-Training on Industrial-Scale Data
Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-Training on Industrial-Scale Data
Yufei He
Zhenyu Hou
Yukuo Cen
Feng He
Xu Cheng
Bryan Hooi
AI4CE
29
3
0
04 Jul 2024
A Learned Generalized Geodesic Distance Function-Based Approach for Node Feature Augmentation on Graphs
A Learned Generalized Geodesic Distance Function-Based Approach for Node Feature Augmentation on Graphs
Amitoz Azad
Yuan Fang
42
1
0
01 Jul 2024
Commute Graph Neural Networks
Commute Graph Neural Networks
Wei Zhuo
Han Yu
Guang Tan
Xiaoxiao Li
GNN
95
1
0
30 Jun 2024
Learning System Dynamics without Forgetting
Learning System Dynamics without Forgetting
Xikun Zhang
Dongjin Song
Yushan Jiang
Yixin Chen
Dacheng Tao
AI4CE
37
2
0
30 Jun 2024
Graph Neural Networks Gone Hogwild
Graph Neural Networks Gone Hogwild
Olga Solodova
Nick Richardson
Deniz Oktay
Ryan P. Adams
AI4CE
GNN
23
1
0
29 Jun 2024
Federated Graph Semantic and Structural Learning
Federated Graph Semantic and Structural Learning
Wenke Huang
Guancheng Wan
Mang Ye
Bo Du
FedML
34
42
0
27 Jun 2024
KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning
KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning
Roman Bresson
Giannis Nikolentzos
G. Panagopoulos
Michail Chatzianastasis
Jun Pang
Michalis Vazirgiannis
67
42
0
26 Jun 2024
Sequence Graph Network for Online Debate Analysis
Sequence Graph Network for Online Debate Analysis
Quan Mai
Susan Gauch
Douglas Adams
Miaoqing Huang
26
0
0
26 Jun 2024
EmT: A Novel Transformer for Generalized Cross-subject EEG Emotion Recognition
EmT: A Novel Transformer for Generalized Cross-subject EEG Emotion Recognition
Yi Ding
Chengxuan Tong
Shuailei Zhang
Muyun Jiang
Yong Li
Kevin Lim Jun Liang
Cuntai Guan
25
4
0
26 Jun 2024
Efficient and Effective Implicit Dynamic Graph Neural Network
Efficient and Effective Implicit Dynamic Graph Neural Network
Yongjian Zhong
Hieu Vu
Tianbao Yang
Bijaya Adhikari
GNN
40
0
0
25 Jun 2024
High-resolution open-vocabulary object 6D pose estimation
High-resolution open-vocabulary object 6D pose estimation
Jaime Corsetti
Davide Boscaini
Francesco Giuliari
Changjae Oh
Andrea Cavallaro
Fabio Poiesi
32
1
0
24 Jun 2024
Towards Lightweight Graph Neural Network Search with Curriculum Graph
  Sparsification
Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification
Beini Xie
Heng Chang
Ziwei Zhang
Zeyang Zhang
Simin Wu
Xin Wang
Yuan Meng
Wenwu Zhu
31
2
0
24 Jun 2024
Harvesting Events from Multiple Sources: Towards a Cross-Document Event
  Extraction Paradigm
Harvesting Events from Multiple Sources: Towards a Cross-Document Event Extraction Paradigm
Qiang Gao
Zixiang Meng
Bobo Li
Jun Zhou
Fei Li
Chong Teng
Donghong Ji
37
1
0
23 Jun 2024
Synergistic Deep Graph Clustering Network
Synergistic Deep Graph Clustering Network
Benyu Wu
Shifei Ding
Xiao Xu
Lili Guo
Ling Ding
Xindong Wu
36
0
0
22 Jun 2024
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training
  Complexity
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity
Mucong Ding
Tahseen Rabbani
Bang An
Evan Z Wang
Furong Huang
31
20
0
21 Jun 2024
FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event
  Detection
FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection
Austin Coursey
Junyi Ji
Marcos Quiñones-Grueiro
William Barbour
Yuhang Zhang
Tyler Derr
Gautam Biswas
Daniel B. Work
16
7
0
21 Jun 2024
Graph Edge Representation via Tensor Product Graph Convolutional
  Representation
Graph Edge Representation via Tensor Product Graph Convolutional Representation
Bo Jiang
Sheng Ge
Ziyan Zhang
Beibei Wang
Jin Tang
Bin Luo
GNN
43
0
0
21 Jun 2024
Temporal Knowledge Graph Question Answering: A Survey
Temporal Knowledge Graph Question Answering: A Survey
Miao Su
Zixuan Li
Zhuo Chen
Long Bai
Xiaolong Jin
Jiafeng Guo
56
2
0
20 Jun 2024
Composing Object Relations and Attributes for Image-Text Matching
Composing Object Relations and Attributes for Image-Text Matching
Khoi Pham
Chuong Huynh
Ser-Nam Lim
Abhinav Shrivastava
CoGe
41
3
0
17 Jun 2024
On GNN explanability with activation rules
On GNN explanability with activation rules
Luca Veyrin-Forrer
Ataollah Kamal
Stefan Duffner
Marc Plantevit
C. Robardet
AI4CE
23
2
0
17 Jun 2024
Graph Neural Reaction Diffusion Models
Graph Neural Reaction Diffusion Models
Moshe Eliasof
Eldad Haber
Eran Treister
DiffM
AI4CE
35
2
0
16 Jun 2024
TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits
  for Disease Subtyping based on EHR Data
TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data
Ziyang Zhang
Hejie Cui
Ran Xu
Yuzhang Xie
Joyce C. Ho
Carl Yang
CML
34
2
0
14 Jun 2024
POWN: Prototypical Open-World Node Classification
POWN: Prototypical Open-World Node Classification
Marcel Hoffmann
Lukas Galke
A. Scherp
34
0
0
14 Jun 2024
SememeLM: A Sememe Knowledge Enhanced Method for Long-tail Relation
  Representation
SememeLM: A Sememe Knowledge Enhanced Method for Long-tail Relation Representation
Shuyi Li
Shaojuan Wu
Xiaowang Zhang
Zhiyong Feng
44
0
0
13 Jun 2024
Federated Incomplete Multi-View Clustering with Heterogeneous Graph
  Neural Networks
Federated Incomplete Multi-View Clustering with Heterogeneous Graph Neural Networks
Xueming Yan
Ziqi Wang
Yaochu Jin
FedML
36
0
0
12 Jun 2024
On the Hölder Stability of Multiset and Graph Neural Networks
On the Hölder Stability of Multiset and Graph Neural Networks
Yair Davidson
Nadav Dym
51
0
0
11 Jun 2024
Spatiotemporal Graph Neural Network Modelling Perfusion MRI
Spatiotemporal Graph Neural Network Modelling Perfusion MRI
Ruodan Yan
Carola-Bibiane Schönlieb
Chao Li
43
1
0
10 Jun 2024
Attention as a Hypernetwork
Attention as a Hypernetwork
Simon Schug
Seijin Kobayashi
Yassir Akram
João Sacramento
Razvan Pascanu
GNN
37
3
0
09 Jun 2024
Decision-focused Graph Neural Networks for Combinatorial Optimization
Decision-focused Graph Neural Networks for Combinatorial Optimization
Yang Liu
Chuan Zhou
Peng Zhang
Shirui Pan
Zhao Li
Hongyang Chen
GNN
AI4CE
41
1
0
05 Jun 2024
Node-wise Filtering in Graph Neural Networks: A Mixture of Experts
  Approach
Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach
Haoyu Han
Juanhui Li
Wei Huang
Xianfeng Tang
Hanqing Lu
Chen Luo
Hui Liu
Jiliang Tang
42
5
0
05 Jun 2024
Mind's Eye: Image Recognition by EEG via Multimodal Similarity-Keeping
  Contrastive Learning
Mind's Eye: Image Recognition by EEG via Multimodal Similarity-Keeping Contrastive Learning
Chi-Sheng Chen
Chun-Shu Wei
46
9
0
05 Jun 2024
Efficient User Sequence Learning for Online Services via Compressed
  Graph Neural Networks
Efficient User Sequence Learning for Online Services via Compressed Graph Neural Networks
Yucheng Wu
Liyue Chen
Yu Cheng
Shuai Chen
Jinyu Xu
Leye Wang
GNN
32
0
0
05 Jun 2024
AMOSL: Adaptive Modality-wise Structure Learning in Multi-view Graph
  Neural Networks For Enhanced Unified Representation
AMOSL: Adaptive Modality-wise Structure Learning in Multi-view Graph Neural Networks For Enhanced Unified Representation
Peiyu Liang
Hongchang Gao
Xubin He
32
0
0
04 Jun 2024
Using Explainable AI for EEG-based Reduced Montage Neonatal Seizure
  Detection
Using Explainable AI for EEG-based Reduced Montage Neonatal Seizure Detection
Dinuka Sandun Udayantha
Kavindu Weerasinghe
Nima Wickramasinghe
Akila Abeyratne
Kithmin Wickremasinghe
J. Wanigasinghe
Anjula De Silva
Chamira U. S. Edussooriya
21
2
0
04 Jun 2024
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement
Wenjing Chang
Kay Liu
Philip S. Yu
Jianjun Yu
57
2
0
03 Jun 2024
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
Ocheme Anthony Ekle
William Eberle
AI4TS
32
10
0
31 May 2024
CiliaGraph: Enabling Expression-enhanced Hyper-Dimensional Computation
  in Ultra-Lightweight and One-Shot Graph Classification on Edge
CiliaGraph: Enabling Expression-enhanced Hyper-Dimensional Computation in Ultra-Lightweight and One-Shot Graph Classification on Edge
Yuxi Han
Jihe Wang
Danghui Wang
55
1
0
29 May 2024
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