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1812.09430
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Dynamic Graph Representation Learning via Self-Attention Networks
22 December 2018
Aravind Sankar
Yanhong Wu
Liang Gou
Wei Zhang
Hao Yang
GNN
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Papers citing
"Dynamic Graph Representation Learning via Self-Attention Networks"
49 / 49 papers shown
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10 Nov 2025
EvoFormer: Learning Dynamic Graph-Level Representations with Structural and Temporal Bias Correction
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Liuxin Zou
Di Wang
Bo Wang
Zhenxing Niu
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138
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21 Aug 2025
BrainMAP: Learning Multiple Activation Pathways in Brain Networks
AAAI Conference on Artificial Intelligence (AAAI), 2024
Song Wang
Zhenyu Lei
Zhen Tan
Jiaqi Ding
Xinyu Zhao
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Tianlong Chen
Chen Chen
Aiying Zhang
Jundong Li
291
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23 Dec 2024
Predicting travel demand of a bike sharing system using graph convolutional neural networks
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Ali Behroozi
A. Edrisi
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154
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18 Aug 2024
Curriculum Negative Mining For Temporal Networks
Ziyue Chen
Tongya Zheng
Mingli Song
235
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24 Jul 2024
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
Ocheme Anthony Ekle
William Eberle
AI4TS
365
45
0
31 May 2024
Attention-based Dynamic Multilayer Graph Neural Networks for Loan Default Prediction
Sahab Zandi
Kamesh Korangi
María Óskarsdóttir
Christophe Mues
Cristián Bravo
234
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0
01 Feb 2024
A Primer on Temporal Graph Learning
ACM Computing Surveys (ACM CSUR), 2024
Aniq Ur Rahman
J. Coon
AI4CE
405
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0
08 Jan 2024
Exploring Time Granularity on Temporal Graphs for Dynamic Link Prediction in Real-world Networks
Xiangjian Jiang
Yanyi Pu
AI4TS
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309
3
0
21 Nov 2023
Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs
Neural Information Processing Systems (NeurIPS), 2023
Yeyuan Chen
Dingmin Wang
207
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03 Nov 2023
ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding
International Conference on Information and Knowledge Management (CIKM), 2023
Zixuan Liu
Gaurush Hiranandani
Kun Qian
E-Wen Huang
Yi Xu
Belinda Zeng
Karthik Subbian
Sheng Wang
AI4TS
313
2
0
07 Oct 2023
Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs
AAAI Conference on Artificial Intelligence (AAAI), 2023
Dongjin Lee
Juho Lee
Kijung Shin
AAML
328
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0
21 Aug 2023
Anticipating Technical Expertise and Capability Evolution in Research Communities using Dynamic Graph Transformers
IEEE Transactions on Computational Social Systems (IEEE TCSS), 2023
Sameera Horawalavithana
Ellyn Ayton
A. Usenko
Robin Cosbey
Svitlana Volkova
AI4TS
252
0
0
18 Jul 2023
NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics
Neural Information Processing Systems (NeurIPS), 2023
Anwar Said
Roza G. Bayrak
Hanyu Wang
Mudassir Shabbir
Daniel Moyer
Catie Chang
X. Koutsoukos
365
52
0
09 Jun 2023
Bi-Level Attention Graph Neural Networks
Industrial Conference on Data Mining (IDM), 2021
Roshni G. Iyer
Wen Wang
Luke Huan
GNN
237
22
0
23 Apr 2023
Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review
Asim Waqas
Aakash Tripathi
Ravichandran Ramachandran
Paul Stewart
Ghulam Rasool
AI4CE
508
93
0
11 Mar 2023
Fraudulent User Detection Via Behavior Information Aggregation Network (BIAN) On Large-Scale Financial Social Network
Hanyi Hu
Long Zhang
Shuang Li
Zhi Liu
Yao Yang
Chongning Na
230
0
0
04 Nov 2022
Reasoning over Multi-view Knowledge Graphs
Zhaohan Xi
Ren Pang
Changjiang Li
Tianyu Du
S. Ji
Fenglong Ma
Ting Wang
199
4
0
27 Sep 2022
Rethinking The Memory Staleness Problem In Dynamics GNN
Mor Ventura
Hadas Ben-Atya
Dekel Brav
132
1
0
06 Sep 2022
AoI-based Temporal Attention Graph Neural Network for Popularity Prediction and Content Caching
IEEE Transactions on Cognitive Communications and Networking (IEEE TCCN), 2022
Jianhang Zhu
Rongpeng Li
Guoru Ding
Chan Wang
Jianjun Wu
Zhifeng Zhao
Honggang Zhang
GNN
128
17
0
18 Aug 2022
Explaining Dynamic Graph Neural Networks via Relevance Back-propagation
Jiaxuan Xie
Ruijie Du
Yanning Shen
FAtt
136
12
0
22 Jul 2022
A Mutually Exciting Latent Space Hawkes Process Model for Continuous-time Networks
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Zhipeng Huang
Hadeel Soliman
Subhadeep Paul
Kevin S. Xu
194
15
0
19 May 2022
A Survey on Graph Representation Learning Methods
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
Shima Khoshraftar
A. An
GNN
AI4TS
373
208
0
04 Apr 2022
Lightweight Compositional Embeddings for Incremental Streaming Recommendation
Mengyue Hang
Tobias Schnabel
Longqi Yang
Jennifer Neville
145
6
0
04 Feb 2022
DyFormer: A Scalable Dynamic Graph Transformer with Provable Benefits on Generalization Ability
SDM (SDM), 2021
Weilin Cong
Yanhong Wu
Yuandong Tian
Mengting Gu
Yinglong Xia
C. Chen
Mehrdad Mahdavi
AI4CE
292
15
0
19 Nov 2021
An Empirical Study: Extensive Deep Temporal Point Process
Haitao Lin
Cheng Tan
Lirong Wu
Zhangyang Gao
Stan. Z. Li
AI4TS
353
14
0
19 Oct 2021
GCN-SE: Attention as Explainability for Node Classification in Dynamic Graphs
Industrial Conference on Data Mining (IDM), 2021
Yucai Fan
Yuhang Yao
Carlee Joe-Wong
GNN
159
27
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11 Oct 2021
DynSTGAT: Dynamic Spatial-Temporal Graph Attention Network for Traffic Signal Control
Libing Wu
Min Wang
Dan Wu
Jia Wu
193
49
0
12 Sep 2021
DyGCN: Dynamic Graph Embedding with Graph Convolutional Network
Zeyu Cui
Zekun Li
Shu Wu
Xiaoyu Zhang
Qiang Liu
Liang Wang
Mengmeng Ai
GNN
113
16
0
07 Apr 2021
Dynamic Network Embedding Survey
Neurocomputing (Neurocomputing), 2021
Guotong Xue
Ming Zhong
Jianxin Li
Jia Chen
C. Zhai
Ruochen Kong
AI4TS
213
194
0
29 Mar 2021
FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding
Industrial Conference on Data Mining (IDM), 2020
Menglin Yang
Ziqiao Meng
Irwin King
422
32
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27 Feb 2021
Pre-Training on Dynamic Graph Neural Networks
Neurocomputing (Neurocomputing), 2021
Ke-Jia Chen
Jiajun Zhang
Linpu Jiang
Yunyun Wang
Yuxuan Dai
AI4CE
213
20
0
24 Feb 2021
A Survey on Embedding Dynamic Graphs
ACM Computing Surveys (CSUR), 2021
Claudio D. T. Barros
Matheus R. F. Mendonça
A. Vieira
A. Ziviani
AI4TS
AI4CE
356
173
0
04 Jan 2021
Temporal Graph Modeling for Skeleton-based Action Recognition
Jianan Li
Xuemei Xie
Zhifu Zhao
Yuhan Cao
Qingzhe Pan
Guangming Shi
185
12
0
16 Dec 2020
Disentangle-based Continual Graph Representation Learning
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Xiaoyu Kou
Yankai Lin
Shaobo Liu
Peng Li
Jie Zhou
Yan Zhang
CLL
299
47
0
06 Oct 2020
Federated Dynamic GNN with Secure Aggregation
Meng Jiang
Taeho Jung
Ryan Karl
Tong Zhao
FedML
222
34
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15 Sep 2020
Learning Attribute-Structure Co-Evolutions in Dynamic Graphs
Ziyu Zhao
Zhihan Zhang
Yihong Ma
Tong Zhao
Tianwen Jiang
Nitesh Chawla
Meng Jiang
207
9
0
25 Jul 2020
Predicting Temporal Sets with Deep Neural Networks
Le Yu
Leilei Sun
Bowen Du
Chuanren Liu
Hui Xiong
Weifeng Lv
262
47
0
20 Jun 2020
Modeling Dynamic Heterogeneous Network for Link Prediction using Hierarchical Attention with Temporal RNN
Hansheng Xue
Luwei Yang
Wen Jiang
Yi Wei
Yitao Hu
Yu Lin
170
84
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01 Apr 2020
ExEm: Expert Embedding using dominating set theory with deep learning approaches
Expert systems with applications (ESWA), 2020
Narjes Nikzad Khasmakhi
M. Balafar
M. Feizi-Derakhshi
C. Motamed
164
20
0
16 Jan 2020
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction
Web Search and Data Mining (WSDM), 2020
Aravind Sankar
Xinyang Zhang
A. Krishnan
Jiawei Han
GNN
212
102
0
01 Jan 2020
An Induced Multi-Relational Framework for Answer Selection in Community Question Answer Platforms
Kanika Narang
Chaoqi Yang
A. Krishnan
Junting Wang
Hari Sundaram
Carolyn Sutter
122
6
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16 Nov 2019
Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching
AAAI Conference on Artificial Intelligence (AAAI), 2019
Wei Peng
Xiaopeng Hong
Zhaodong Sun
Guoying Zhao
GNN
262
358
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11 Nov 2019
Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions
PLoS ONE (PLoS ONE), 2019
Boris Knyazev
Carolyn Augusta
Graham W. Taylor
178
31
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23 Sep 2019
Variational Graph Recurrent Neural Networks
Neural Information Processing Systems (NeurIPS), 2019
Ehsan Hajiramezanali
Arman Hasanzadeh
N. Duffield
Krishna R. Narayanan
Mingyuan Zhou
Xiaoning Qian
BDL
GNN
226
220
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26 Aug 2019
Representation Learning for Dynamic Graphs: A Survey
Journal of machine learning research (JMLR), 2019
Seyed Mehran Kazemi
Rishab Goel
Kshitij Jain
I. Kobyzev
Akshay Sethi
Peter Forsyth
Pascal Poupart
AI4TS
AI4CE
GNN
400
574
0
27 May 2019
Streaming Graph Neural Networks
Yao Ma
Ziyi Guo
Zhaochun Ren
Eric Zhao
Shucheng Zhou
D. Yin
GNN
223
277
0
24 Oct 2018
Motif-based Convolutional Neural Network on Graphs
Aravind Sankar
Xinyang Zhang
Kevin Chen-Chuan Chang
GNN
283
44
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15 Nov 2017
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