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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Temporal Network Embedding with Micro- and Macro-dynamics
Yuanfu Lu, Xiao Wang, Chuan Shi, et al.
(2019), pp. 469-478
Open Access | Times Cited: 115

Showing 1-25 of 115 citing articles:

Temporally evolving graph neural network for fake news detection
Chenguang Song, Kai Shu, Bin Wu
Information Processing & Management (2021) Vol. 58, Iss. 6, pp. 102712-102712
Closed Access | Times Cited: 122
A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal
Ke Liang, Lingyuan Meng, Meng Liu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 12, pp. 9456-9478
Open Access | Times Cited: 51
Self-Supervised Temporal Graph Learning With Temporal and Structural Intensity Alignment
Meng Liu, Ke Liang, Yawei Zhao, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024), pp. 1-13
Open Access | Times Cited: 43
Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity
Xiao Wang, Yuanfu Lu, Chuan Shi, et al.
IEEE Transactions on Knowledge and Data Engineering (2020) Vol. 34, Iss. 3, pp. 1117-1132
Closed Access | Times Cited: 115
A Survey on Embedding Dynamic Graphs
Claudio D. T. Barros, Matheus R. F. Mendonça, Alex Borges Vieira, et al.
ACM Computing Surveys (2021) Vol. 55, Iss. 1, pp. 1-37
Open Access | Times Cited: 96
Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism
Pengfei Jiao, Xuan Guo, Xin Jing, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 12, pp. 7400-7413
Closed Access | Times Cited: 64
TREND: TempoRal Event and Node Dynamics for Graph Representation Learning
Zhihao Wen, Yuan Fang
Proceedings of the ACM Web Conference 2022 (2022)
Open Access | Times Cited: 51
Attention-based graph neural networks: a survey
Chengcheng Sun, Chenhao Li, Xiang Lin, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S2, pp. 2263-2310
Closed Access | Times Cited: 32
Temporal Link Prediction: A Unified Framework, Taxonomy, and Review
Meng Qin, Dit‐Yan Yeung
ACM Computing Surveys (2023) Vol. 56, Iss. 4, pp. 1-40
Open Access | Times Cited: 22
Dynamic Spiking Graph Neural Networks
Nan Yin, Mengzhu Wang, Zhenghan Chen, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 15, pp. 16495-16503
Open Access | Times Cited: 8
Modeling Dynamic Heterogeneous Network for Link Prediction Using Hierarchical Attention with Temporal RNN
Hansheng Xue, Luwei Yang, Wen Jiang, et al.
Lecture notes in computer science (2021), pp. 282-298
Closed Access | Times Cited: 53
Motif-Preserving Dynamic Attributed Network Embedding
Zhijun Liu, Chao Huang, Yanwei Yu, et al.
(2021), pp. 1629-1638
Closed Access | Times Cited: 48
Few-shot Link Prediction in Dynamic Networks
Cheng Yang, Chunchen Wang, Yuanfu Lu, et al.
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (2022)
Closed Access | Times Cited: 33
Robust Knowledge Adaptation for Dynamic Graph Neural Networks
Hanjie Li, Changsheng Li, Kaituo Feng, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 11, pp. 6920-6933
Open Access | Times Cited: 7
Learning Temporal Interaction Graph Embedding via Coupled Memory Networks
Zhen Zhang, Jiajun Bu, Martin Ester, et al.
(2020)
Closed Access | Times Cited: 41
Recommender Systems Based on Graph Embedding Techniques: A Review
Yue Deng
IEEE Access (2022) Vol. 10, pp. 51587-51633
Open Access | Times Cited: 24
High-Quality Temporal Link Prediction for Weighted Dynamic Graphs via Inductive Embedding Aggregation
Meng Qin, Chaorui Zhang, Bo Bai, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 9, pp. 9378-9393
Closed Access | Times Cited: 15
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
Jintang Li, Zhouxin Yu, Zulun Zhu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 7, pp. 8588-8596
Open Access | Times Cited: 14
Memory-based Walk-enhanced Dynamic Graph Neural Network for Temporal Graph Representation Learning
Zhigang Jin, R. Su, Hao Zhang, et al.
Neurocomputing (2025) Vol. 633, pp. 129759-129759
Closed Access
Hawkes Point Process-enhanced Dynamic Graph Neural Network
Zhiqiang Wang, B. Y. Hu, Kaixuan Yao, et al.
(2025), pp. 401-409
Closed Access
Rethinking multi-level information fusion in temporal graphs: Pre-training then distilling for better embedding
Meng Liu, Yong Liu, Qianqian Ren, et al.
Information Fusion (2025), pp. 103127-103127
Closed Access
Temporal network embedding framework with causal anonymous walks representations
Ilya Makarov, A. Savchenko, Arseny Korovko, et al.
PeerJ Computer Science (2022) Vol. 8, pp. e858-e858
Open Access | Times Cited: 19
Input Snapshots Fusion for Scalable Discrete-Time Dynamic Graph Neural Networks
QingGuo Qi, Hongyang Chen, Minhao Cheng, et al.
(2025), pp. 1138-1149
Closed Access
RHINE: Relation Structure-Aware Heterogeneous Information Network Embedding
Chuan Shi, Yuanfu Lu, Linmei Hu, et al.
IEEE Transactions on Knowledge and Data Engineering (2020) Vol. 34, Iss. 1, pp. 433-447
Closed Access | Times Cited: 30
Motif-Preserving Temporal Network Embedding
Hong Huang, Zixuan Fang, Xiao Wang, et al.
(2020), pp. 1237-1243
Open Access | Times Cited: 28
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