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Link prediction techniques, applications, and performance: A survey

Citations

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Cited by:

  1. Jiaping Cao & Tianyang Lei & Jichao Li & Jiang Jiang, 2023. "A Novel Link Prediction Method for Social Multiplex Networks Based on Deep Learning," Mathematics, MDPI, vol. 11(7), pages 1-19, April.
  2. Xing Li & Qingsong Li & Wei Wei & Zhiming Zheng, 2022. "Convolution Based Graph Representation Learning from the Perspective of High Order Node Similarities," Mathematics, MDPI, vol. 10(23), pages 1-13, December.
  3. Lin, Dan & Wu, Jiajing & Xuan, Qi & Tse, Chi K., 2022. "Ethereum transaction tracking: Inferring evolution of transaction networks via link prediction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 600(C).
  4. Jinyi Yu & Younghoon Lee, 2025. "Staged link prediction in bipartite investment networks based on pseudo-edge generation," Information Technology and Management, Springer, vol. 26(3), pages 391-405, September.
  5. Riccardo Giubilei & Pierpaolo Brutti, 2022. "Supervised Classification for Link Prediction in Facebook Ego Networks With Anonymized Profile Information," Journal of Classification, Springer;The Classification Society, vol. 39(2), pages 302-325, July.
  6. Chunning Wang & Fengqin Tang & Xuejing Zhao, 2023. "LPGRI: A Global Relevance-Based Link Prediction Approach for Multiplex Networks," Mathematics, MDPI, vol. 11(14), pages 1-15, July.
  7. Chaoguang, Huo & Yueji, Han & Fanfan, Huo & Chenwei, Zhang, 2025. "An approach for interdisciplinary knowledge discovery: Link prediction between topics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 665(C).
  8. Yu, Jiating & Wu, Ling-Yun, 2022. "Multiple Order Local Information model for link prediction in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 600(C).
  9. Yuliansyah, Herman & Othman, Zulaiha Ali & Bakar, Azuraliza Abu, 2023. "A new link prediction method to alleviate the cold-start problem based on extending common neighbor and degree centrality," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 616(C).
  10. Juan García Rubio, 2023. "What Does It Mean to Be a Good Teacher? Beliefs of Future Secondary School Teachers During Their Initial Training in Spain," European Journal of Education Articles, Revistia Research and Publishing, vol. 6, January -.
  11. Lin Zhang & Kan Li, 2022. "Influence Maximization Based on Snapshot Prediction in Dynamic Online Social Networks," Mathematics, MDPI, vol. 10(8), pages 1-20, April.
  12. Tofighy, Sajjad & Charkari, Nasrollah Moghadam & Ghaderi, Foad, 2022. "Link prediction in multiplex networks using intralayer probabilistic distance and interlayer co-evolving factors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 606(C).
  13. Chengdong Zhang & Keke Li & Shaoqing Wang & Bin Zhou & Lei Wang & Fuzhen Sun, 2023. "Learning Heterogeneous Graph Embedding with Metapath-Based Aggregation for Link Prediction," Mathematics, MDPI, vol. 11(3), pages 1-18, January.
  14. Xia, Yuqin & Wang, Kewei & Tanirat, Purin & Lee, Bryan & Moulitsas, Irene & Li, Jun, 2025. "Machine Learning driven complex network analysis of transport systems," Journal of Transport Geography, Elsevier, vol. 127(C).
  15. Charikhi, Mourad, 2024. "Association of the PageRank algorithm with similarity-based methods for link prediction in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 637(C).
  16. Zijuan Zhao & Kai Yang & Jinli Guo, 2024. "Heterogeneous hypergraph representation learning for link prediction," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 97(10), pages 1-9, October.
  17. Pan, Rui & Gao, Yuan & Wang, Hansheng, 2026. "A latent space model for link prediction in statistical citation network," Journal of Multivariate Analysis, Elsevier, vol. 212(C).
  18. Xie He & Amir Ghasemian & Eun Lee & Alice C Schwarze & Aaron Clauset & Peter J Mucha, 2024. "Link prediction accuracy on real-world networks under non-uniform missing-edge patterns," PLOS ONE, Public Library of Science, vol. 19(7), pages 1-17, July.
  19. Wang, Feifei & Dong, Jiaxin & Lu, Wanzhao & Xu, Shuo, 2023. "Collaboration prediction based on multilayer all-author tripartite citation networks: A case study of gene editing," Journal of Informetrics, Elsevier, vol. 17(1).
  20. Lee, Yan-Li & Zhou, Tao, 2021. "Collaborative filtering approach to link prediction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 578(C).
  21. Zhao, Zhili & Wu, Simin & Luo, Ge & Zhang, Nana & Hu, Ahui & Liu, Jun, 2024. "Mining odd-length paths for link prediction in bipartite networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 646(C).
  22. Xu, Xiang & Yang, Wei & Li, Lingfei & Zhu, Xianqiang & Cui, Junying & Zhang, Zihan & Wu, Leilei, 2025. "TD-GCN: A novel fusion method for network topological and dynamical features," Chaos, Solitons & Fractals, Elsevier, vol. 191(C).
  23. Peng Liu & Liang Gui & Huirong Wang & Muhammad Riaz, 2022. "A Two-Stage Deep-Learning Model for Link Prediction Based on Network Structure and Node Attributes," Sustainability, MDPI, vol. 14(23), pages 1-15, December.
  24. Zhao, Jianyu & Su, Xinjie & Li, Xixi & Xi, Xi & Yao, Xinlin, 2025. "Forecasting technology convergence with the spatiotemporal link prediction model," Technovation, Elsevier, vol. 146(C).
  25. Huang, Xing & Qiu, Tian & Chen, Guang, 2024. "Effect of second-order network structure on link prediction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 655(C).
  26. Dejing Zhang & Pengfei Li & Benyin Hou, 2024. "A Novel DV-Hop Localization Method Based on Hybrid Improved Weighted Hyperbolic Strategy and Proportional Integral Derivative Search Algorithm," Mathematics, MDPI, vol. 12(24), pages 1-20, December.
  27. Xu-Wen Wang & Lorenzo Madeddu & Kerstin Spirohn & Leonardo Martini & Adriano Fazzone & Luca Becchetti & Thomas P. Wytock & István A. Kovács & Olivér M. Balogh & Bettina Benczik & Mátyás Pétervári & Be, 2023. "Assessment of community efforts to advance network-based prediction of protein–protein interactions," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
  28. Si, Lei & Li, Longjie & Luo, Hongsheng & Ma, Zhixin, 2024. "Link prediction in multiplex social networks: An information transmission approach," Chaos, Solitons & Fractals, Elsevier, vol. 189(P1).
  29. Lang Chai & Rui Huang, 2025. "Link prediction of heterogeneous complex networks based on an improved embedding learning algorithm," PLOS ONE, Public Library of Science, vol. 20(1), pages 1-20, January.
  30. Nasiri, Elahe & Berahmand, Kamal & Li, Yuefeng, 2021. "A new link prediction in multiplex networks using topologically biased random walks," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).
  31. Bo-wei, Xu & Yu-tao, Tian & Jun-jun, Li, 2025. "Revealing spatiotemporal connections in container hub ports under adverse events through link prediction," Journal of Transport Geography, Elsevier, vol. 125(C).
  32. Chen, Guangfu & Xie, Bin & Fang, Yili, 2025. "Link prediction in directed networks using Hits centrality and biased random walks," Chaos, Solitons & Fractals, Elsevier, vol. 200(P1).
  33. Tang, Qianyong & Li, Huajiao & Feng, Sida & Guo, Sui & Li, Yang & Wang, Xingxing & Zhang, Yuqi, 2025. "Predicting the changes in international crude oil trade relationships via a gravity heuristic algorithm," Energy, Elsevier, vol. 322(C).
  34. Mafakheri, Aso & Sulaimany, Sadegh & Mohammadi, Sara, 2023. "Predicting the establishment and removal of global trade relations for import and export of petrochemical products," Energy, Elsevier, vol. 269(C).
  35. Pan, Yidi & Hu, Wenqi & Ge, Xinlei & Lin, Aijing, 2025. "A novel forecasting method for time series based on vector visibility graphs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 677(C).
  36. Mishra, Shivansh & Singh, Shashank Sheshar & Kumar, Ajay & Biswas, Bhaskar, 2022. "ELP: Link prediction in social networks based on ego network perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).
  37. Wan, Shuyan & Bi, Yilin & Jiao, Xinshan & Zhou, Tao, 2025. "Quantifying discriminability of evaluation metrics in link prediction for real networks," Chaos, Solitons & Fractals, Elsevier, vol. 199(P3).
  38. Seo, Wonchul & Afifuddin, Mokh, 2024. "Developing a supervised learning model for anticipating potential technology convergence between technology topics," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
  39. Mueller, Falko, 2023. "Link and edge weight prediction in air transport networks — An RNN approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 613(C).
  40. Cui, Ziyu & Dong, Hanjiang & Wang, Kun & Qiu, Jiehong & Fu, Xiaowen, 2025. "The structural evolution of the Chinese aviation network during and after the pandemic: A machine learning-based approach," Transport Policy, Elsevier, vol. 172(C).
  41. Zhou, Tao, 2023. "Discriminating abilities of threshold-free evaluation metrics in link prediction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 615(C).
  42. Xiaoli Cao & Xiang Chen & Lu Huang & Lijie Deng & Yijie Cai & Hang Ren, 2024. "Detecting technological recombination using semantic analysis and dynamic network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(11), pages 7385-7416, November.
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