ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2011.11545
  4. Cited By
APAN: Asynchronous Propagation Attention Network for Real-time Temporal
  Graph Embedding
v1v2v3v4 (latest)

APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding

23 November 2020
Xuhong Wang
Ding Lyu
Mengjian Li
Yang Xia
Qi Yang
Xinwen Wang
Xinguang Wang
Ping Cui
Yupu Yang
Bowen Sun
Zhenyu Guo
    GNN
ArXiv (abs)PDFHTML

Papers citing "APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding"

50 / 66 papers shown
Beyond Leakage and Complexity: Towards Realistic and Efficient Information Cascade Prediction
Beyond Leakage and Complexity: Towards Realistic and Efficient Information Cascade Prediction
Jie Peng
R. Wang
Qiang Wang
Zhewei Wei
Bin Tong
G. Wang
139
1
0
29 Oct 2025
DynBERG: Dynamic BERT-based Graph neural network for financial fraud detection
DynBERG: Dynamic BERT-based Graph neural network for financial fraud detection
Omkar Kulkarni
Rohitash Chandra
189
0
0
28 Oct 2025
TAMI: Taming Heterogeneity in Temporal Interactions for Temporal Graph Link Prediction
TAMI: Taming Heterogeneity in Temporal Interactions for Temporal Graph Link Prediction
Zhongyi Yu
Jianqiu Wu
Zhenghao Wu
Shuhan Zhong
Weifeng Su
Chul-Ho Lee
Weipeng Zhuo
AI4TS
189
0
0
23 Oct 2025
Efficient Learning-based Graph Simulation for Temporal Graphs
Efficient Learning-based Graph Simulation for Temporal GraphsIEEE International Conference on Data Engineering (ICDE), 2025
Sheng Xiang
Chenhao Xu
Dawei Cheng
Xiaoyang Wang
Ying Zhang
160
2
0
07 Oct 2025
Self-Exploring Language Models for Explainable Link Forecasting on Temporal Graphs via Reinforcement Learning
Self-Exploring Language Models for Explainable Link Forecasting on Temporal Graphs via Reinforcement Learning
Zifeng Ding
Shenyang Huang
Zeyu Cao
Emma Kondrup
Zachary Yang
...
Xianglong Hu
Yuan He
Farimah Poursafaei
Michael M. Bronstein
Andreas Vlachos
AI4TSReLMLRM
243
0
0
31 Aug 2025
TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer
TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer
Jie Peng
Zhewei Wei
Yuhang Ye
185
4
0
31 May 2025
Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models
Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models
Siwei Zhang
Yun Xiong
Yateng Tang
Jiarong Xu
Xi Chen
Zehao Gu
Xuezheng Hao
Zian Jia
Jiawei Zhang
AI4CE
444
3
0
18 Mar 2025
A Survey of Link Prediction in Temporal Networks
A Survey of Link Prediction in Temporal Networks
Jiafeng Xiong
Ahmad Zareie
Rizos Sakellariou
AI4TSAI4CE
310
9
0
28 Feb 2025
UniDyG: A Unified and Effective Representation Learning Approach for Large Dynamic Graphs
UniDyG: A Unified and Effective Representation Learning Approach for Large Dynamic GraphsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2025
Yuanyuan Xu
Wenjie Zhang
Xuemin Lin
Yanzhe Zhang
AI4TS
299
10
0
23 Feb 2025
Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours
Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU HoursProceedings of the VLDB Endowment (PVLDB), 2024
Yuxin Yang
Hongkuan Zhou
Rajgopal Kannan
Viktor Prasanna
346
1
0
31 Dec 2024
THeGCN: Temporal Heterophilic Graph Convolutional Network
THeGCN: Temporal Heterophilic Graph Convolutional Network
Yuchen Yan
Yuzhong Chen
Huiyuan Chen
Xiaoting Li
Zhe Xu
Zhichen Zeng
Lihui Liu
Zhining Liu
Hanghang Tong
489
5
0
21 Dec 2024
Temporal-Aware Evaluation and Learning for Temporal Graph Neural
  Networks
Temporal-Aware Evaluation and Learning for Temporal Graph Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2024
Junwei Su
Shan Wu
399
3
0
10 Dec 2024
Training MLPs on Graphs without Supervision
Training MLPs on Graphs without SupervisionWeb Search and Data Mining (WSDM), 2024
Zehong Wang
Zheyuan Zhang
Chuxu Zhang
Yanfang Ye
308
19
0
05 Dec 2024
Retrofitting Temporal Graph Neural Networks with Transformer
Retrofitting Temporal Graph Neural Networks with Transformer
Qiang Huang
Xiao Yan
Xin Wang
Susie Xi Rao
Zhichao Han
Fangcheng Fu
Wentao Zhang
Jiawei Jiang
AI4CE
198
4
0
09 Sep 2024
DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models
DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models
Zifeng Ding
Yifeng Li
Yuan He
Antonio Norelli
Jingcheng Wu
Volker Tresp
Yunpu Ma
Michael Bronstein
Mamba
505
13
0
08 Aug 2024
Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks
Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks
Jiaxing Miao
Liang Hu
Tao Gui
LongBing Cao
CLL
367
4
0
27 Jul 2024
Dynamic Graph Transformer with Correlated Spatial-Temporal Positional
  Encoding
Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding
Zhe Wang
Sheng Zhou
Jiawei Chen
Zhen Zhang
Binbin Hu
Yan Feng
Chun-Yen Chen
Can Wang
AI4TS
238
10
0
24 Jul 2024
Deep-Graph-Sprints: Accelerated Representation Learning in
  Continuous-Time Dynamic Graphs
Deep-Graph-Sprints: Accelerated Representation Learning in Continuous-Time Dynamic Graphs
Ahmad Naser Eddin
Jacopo Bono
David Aparício
Hugo Ferreira
Pedro Ribeiro
P. Bizarro
GNN
259
1
0
10 Jul 2024
Efficient Neural Common Neighbor for Temporal Graph Link Prediction
Efficient Neural Common Neighbor for Temporal Graph Link Prediction
Xiaohui Zhang
Yanbo Wang
Xiyuan Wang
Muhan Zhang
433
15
0
12 Jun 2024
CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous
  Information Network
CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous Information Network
Chenglin Li
Yuanzhen Xie
Chenyun Yu
Lei Cheng
Bo Hu
Zang Li
Di Niu
200
0
0
11 May 2024
Input Snapshots Fusion for Scalable Discrete-Time Dynamic Graph Neural Networks
Input Snapshots Fusion for Scalable Discrete-Time Dynamic Graph Neural Networks
QingGuo Qi
Hongyang Chen
Minhao Cheng
Han Liu
267
0
0
11 May 2024
TrafficGPT: Towards Multi-Scale Traffic Analysis and Generation with
  Spatial-Temporal Agent Framework
TrafficGPT: Towards Multi-Scale Traffic Analysis and Generation with Spatial-Temporal Agent Framework
Jinhui Ouyang
Yijie Zhu
Xiang Yuan
Di Wu
331
1
0
08 May 2024
A Comprehensive Survey of Dynamic Graph Neural Networks: Models,
  Frameworks, Benchmarks, Experiments and Challenges
A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges
ZhengZhao Feng
Rui Wang
TianXing Wang
Mingli Song
Sai Wu
Shuibing He
AI4CE
361
47
0
01 May 2024
A survey of dynamic graph neural networks
A survey of dynamic graph neural networks
Yanping Zheng
Lu Yi
Zhewei Wei
AI4TSAI4CE
245
74
0
28 Apr 2024
MSPipe: Efficient Temporal GNN Training via Staleness-Aware Pipeline
MSPipe: Efficient Temporal GNN Training via Staleness-Aware Pipeline
Guangming Sheng
Junwei Su
Chao Huang
Chuan Wu
309
15
0
23 Feb 2024
SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via
  Self-Supervised Learning
SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning
Jongha Lee
Sunwoo Kim
Kijung Shin
AI4TS
252
18
0
19 Feb 2024
Graph Inference Acceleration by Learning MLPs on Graphs without
  Supervision
Graph Inference Acceleration by Learning MLPs on Graphs without Supervision
Zehong Wang
Zheyuan Zhang
Chuxu Zhang
Yanfang Ye
224
0
0
14 Feb 2024
Link-aware link prediction over temporal graph by pattern recognition
Link-aware link prediction over temporal graph by pattern recognitionInternational Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE), 2024
Bingqing Liu
Xikun Huang
AI4CE
156
2
0
11 Feb 2024
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for
  Graph Streams
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph StreamsProceedings of the VLDB Endowment (PVLDB), 2023
Chaoyi Chen
Dechao Gao
Yanfeng Zhang
Qiange Wang
Zhenbo Fu
Xuecang Zhang
Junhua Zhu
Yu Gu
Ge Yu
GNN
250
15
0
05 Dec 2023
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient
  Transformers
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient TransformersLOG IN (LOG IN), 2023
Maciej Besta
Afonso Claudino Catarino
Lukas Gianinazzi
Nils Blach
Piotr Nyczyk
H. Niewiadomski
Torsten Hoefler
499
11
0
30 Nov 2023
LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning
LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning
Jintang Li
Jiawang Dan
Ruofan Wu
Jing Zhou
Sheng Tian
...
Changhua Meng
Weiqiang Wang
Yuchang Zhu
Liang Chen
Zibin Zheng
AI4CE
262
1
0
28 Nov 2023
Serving Deep Learning Model in Relational Databases
Serving Deep Learning Model in Relational DatabasesInternational Conference on Extending Database Technology (EDBT), 2023
Alexandre Eichenberger
Qi Lin
Saif Masood
Hong Min
Alexander Sim
...
Yida Wang
Kesheng Wu
Binhang Yuan
Lixi Zhou
Jia Zou
233
0
0
07 Oct 2023
STAG: Enabling Low Latency and Low Staleness of GNN-based Services with
  Dynamic Graphs
STAG: Enabling Low Latency and Low Staleness of GNN-based Services with Dynamic GraphsICCD (ICCD), 2023
Jiawen Wang
Quan Chen
Deze Zeng
Zhuo Song
Yiwu Yao
Minyi Guo
GNN
311
5
0
27 Sep 2023
iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and
  Re-occurrence Preservation
iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence PreservationInternational Conference on Information and Knowledge Management (CIKM), 2023
Siwei Zhang
Yun Xiong
Yao Zhang
Xixi Wu
Yiheng Sun
Jiawei Zhang
AI4TS
312
6
0
05 Sep 2023
Spear and Shield: Adversarial Attacks and Defense Methods for
  Model-Based Link Prediction on Continuous-Time Dynamic Graphs
Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic GraphsAAAI Conference on Artificial Intelligence (AAAI), 2023
Dongjin Lee
Juho Lee
Kijung Shin
AAML
374
9
0
21 Aug 2023
From random-walks to graph-sprints: a low-latency node embedding
  framework on continuous-time dynamic graphs
From random-walks to graph-sprints: a low-latency node embedding framework on continuous-time dynamic graphsInternational Conference on AI in Finance (ICAF), 2023
Ahmad Naser Eddin
Jacopo Bono
David Oliveira Aparício
Hugo Ferreira
João Tiago Ascensão
Pedro Ribeiro
P. Bizarro
484
2
0
17 Jul 2023
DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training
DistTGL: Distributed Memory-Based Temporal Graph Neural Network TrainingInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2023
Hongkuan Zhou
Da Zheng
Xiang Song
George Karypis
Viktor Prasanna
GNN
303
25
0
14 Jul 2023
The Evolution of Distributed Systems for Graph Neural Networks and their
  Origin in Graph Processing and Deep Learning: A Survey
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A SurveyACM Computing Surveys (ACM Comput. Surv.), 2023
Jana Vatter
R. Mayer
Hans-Arno Jacobsen
GNNAI4TSAI4CE
375
64
0
23 May 2023
Decoupled Graph Neural Networks for Large Dynamic Graphs
Decoupled Graph Neural Networks for Large Dynamic GraphsProceedings of the VLDB Endowment (PVLDB), 2023
Yanping Zheng
Zhewei Wei
Jiajun Liu
GNNBDLAI4TSAI4CE
167
24
0
14 May 2023
Boosting long-term forecasting performance for continuous-time dynamic graph networks via data augmentation
Yu Tian
Mingjie Zhu
Jiachi Luo
Song Li
302
0
0
12 Apr 2023
Dynamic Graph Representation Learning with Neural Networks: A Survey
Dynamic Graph Representation Learning with Neural Networks: A SurveyIEEE Access (IEEE Access), 2023
Leshanshui Yang
Sébastien Adam
Clément Chatelain
AI4TSAI4CE
244
40
0
12 Apr 2023
Towards Open Temporal Graph Neural Networks
Towards Open Temporal Graph Neural NetworksInternational Conference on Learning Representations (ICLR), 2023
Kaituo Feng
Changsheng Li
Xiaolu Zhang
Jun Zhou
AI4CE
358
28
0
27 Mar 2023
Towards Better Dynamic Graph Learning: New Architecture and Unified
  Library
Towards Better Dynamic Graph Learning: New Architecture and Unified LibraryNeural Information Processing Systems (NeurIPS), 2023
Le Yu
Leilei Sun
Bowen Du
Weifeng Lv
AI4CE
567
217
0
23 Mar 2023
Do We Really Need Complicated Model Architectures For Temporal Networks?
Do We Really Need Complicated Model Architectures For Temporal Networks?International Conference on Learning Representations (ICLR), 2023
Weilin Cong
Si Zhang
Jian Kang
Baichuan Yuan
Hao Wu
Xin Zhou
Hanghang Tong
Mehrdad Mahdavi
GNNAI4TS
269
194
0
22 Feb 2023
GTRL: An Entity Group-Aware Temporal Knowledge Graph Representation
  Learning Method
GTRL: An Entity Group-Aware Temporal Knowledge Graph Representation Learning Method
Xing Tang
Ling-Hao Chen
AI4TS
269
11
0
22 Feb 2023
TIGER: Temporal Interaction Graph Embedding with Restarts
TIGER: Temporal Interaction Graph Embedding with RestartsThe Web Conference (WWW), 2023
Yao Zhang
Yun Xiong
Yongxiang Liao
Yiheng Sun
Yucheng Jin
Xuehao Zheng
Yangyong Zhu
278
37
0
13 Feb 2023
Graph Neural Networks for temporal graphs: State of the art, open
  challenges, and opportunities
Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities
Antonio Longa
Veronica Lachi
G. Santin
Monica Bianchini
Bruno Lepri
Pietro Lio
F. Scarselli
Baptiste Caramiaux
AI4CE
667
99
0
02 Feb 2023
Who Should I Engage with At What Time? A Missing Event Aware Temporal
  Graph Neural Network
Who Should I Engage with At What Time? A Missing Event Aware Temporal Graph Neural NetworkIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Mingyi Liu
Zhiying Tu
Xiaofei Xu
Zhongjie Wang
AI4TS
191
6
0
20 Jan 2023
Graph Sequential Neural ODE Process for Link Prediction on Dynamic and
  Sparse Graphs
Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse GraphsWeb Search and Data Mining (WSDM), 2022
Linhao Luo
Reza Haffari
Shirui Pan
AI4TS
266
41
0
15 Nov 2022
TPGNN: Learning High-order Information in Dynamic Graphs via Temporal
  Propagation
TPGNN: Learning High-order Information in Dynamic Graphs via Temporal Propagation
Zehong Wang
Qi Li
Donghua Yu
233
5
0
03 Oct 2022
12
Next
Page 1 of 2