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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:

Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks
Srijan Kumar, Xikun Zhang, Jure Leskovec
(2019), pp. 1269-1278
Open Access | Times Cited: 219

Showing 1-25 of 219 citing articles:

Foundations and Modeling of Dynamic Networks Using Dynamic Graph Neural Networks: A Survey
Joakim Skarding, Bogdan Gabryś, Katarzyna Musiał
IEEE Access (2021) Vol. 9, pp. 79143-79168
Open Access | Times Cited: 209
Dynamic network embedding survey
Guotong Xue, Ming Zhong, Jianxin Li, et al.
Neurocomputing (2021) Vol. 472, pp. 212-223
Open Access | Times Cited: 172
Dynamic Graph Neural Networks for Sequential Recommendation
Mengqi Zhang, Shu Wu, Xueli Yu, et al.
IEEE Transactions on Knowledge and Data Engineering (2022), pp. 1-1
Open Access | Times Cited: 131
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer
Ziwei Fan, Zhiwei Liu, Jiawei Zhang, et al.
(2021)
Open Access | Times Cited: 131
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
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
Contextual and Sequential User Embeddings for Large-Scale Music Recommendation
Casper Worm Hansen, Christian Hansen, Lucas Maystre, et al.
(2020)
Closed Access | Times Cited: 94
APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding
Xuhong Wang, Ding Lyu, Mengjian Li, et al.
Proceedings of the 2022 International Conference on Management of Data (2021), pp. 2628-2638
Open Access | Times Cited: 89
Lightweight Self-Attentive Sequential Recommendation
Yang Li, Tong Chen, Peng-Fei Zhang, et al.
(2021)
Open Access | Times Cited: 80
A Data-Driven Graph Generative Model for Temporal Interaction Networks
Dawei Zhou, Lecheng Zheng, Jiawei Han, et al.
(2020)
Closed Access | Times Cited: 77
Decoupling Representation Learning and Classification for GNN-based Anomaly Detection
Yanling Wang, Jing Zhang, Shasha Guo, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2021), pp. 1239-1248
Closed Access | Times Cited: 75
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
EvoKG
Namyong Park, Fu‐Chen Liu, Purvanshi Mehta, et al.
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (2022), pp. 794-803
Open Access | Times Cited: 49
Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations
Liwei Huang, Yutao Ma, Yanbo Liu, et al.
ACM transactions on office information systems (2022) Vol. 41, Iss. 1, pp. 1-32
Open Access | Times Cited: 38
Dynamic network link prediction with node representation learning from graph convolutional networks
Peng Mei, Yu Zhao
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 14
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
Dynamic Graph Collaborative Filtering
Xiaohan Li, Mengqi Zhang, Shu Wu, et al.
2021 IEEE International Conference on Data Mining (ICDM) (2020)
Open Access | Times Cited: 67
Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks
Weilin Cong, Rana Forsati, Mahmut Kandemir, et al.
(2020)
Open Access | Times Cited: 63
Neural Temporal Point Processes: A Review
Oleksandr Shchur, Ali Caner Türkmen, Tim Januschowski, et al.
(2021), pp. 4585-4593
Open Access | Times Cited: 54
An Overview of Fairness in Clustering
Anshuman Chhabra, Karina Masalkovaitė, Prasant Mohapatra
IEEE Access (2021) Vol. 9, pp. 130698-130720
Open Access | Times Cited: 54
Continuous-Time Dynamic Graph Learning via Neural Interaction Processes
Xiaofu Chang, Xuqin Liu, Jianfeng Wen, et al.
(2020)
Closed Access | Times Cited: 52
Motif-Preserving Dynamic Attributed Network Embedding
Zhijun Liu, Chao Huang, Yanwei Yu, et al.
(2021), pp. 1629-1638
Closed Access | Times Cited: 48
Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks
Yanbang Wang, Yen‐Yu Chang, Yunyu Liu, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 43
FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings
Cheng–Te Li, Cheng Hsu, Yang Zhang
ACM Transactions on Intelligent Systems and Technology (2022) Vol. 13, Iss. 1, pp. 1-21
Open Access | Times Cited: 35
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