Abstract
Link prediction aims to anticipate the probability of a future connection between two nodes in a given network based on their previous interactions and the network structure. Link prediction is a rapidly evolving field of research that has attracted interest from physicists and computer scientists. Over the years, numerous methods have been developed for link prediction, encompassing similarity-based indices, machine learning techniques, and more. While existing surveys have covered link prediction research until 2020, there has been a substantial surge in research activities in recent years, particularly between 2021 and 2023. This increased interest underscores the pressing need to comprehensively explore the latest advancements and approaches in link prediction. We analyse and present the most notable research from 2018 to 2023. Our goal is to offer a comprehensive overview of the recent developments in the field. Besides summarizing and presenting previous experimental results, our survey offers a comprehensive analysis highlighting the strengths and limitations of various link prediction methods.
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References
Su Z, Zheng X, Ai J, Shen Y, Zhang X (2020) Link prediction in recommender systems based on vector similarity. Physica A 560:125154
Vahidi Farashah M, Etebarian A, Azmi R, Ebrahimzadeh Dastjerdi R (2021) A hybrid recommender system based-on link prediction for movie baskets analysis. J Big Data 8:1–24
Su Z, Zheng X, Ai J, Shang L, Shen Y (2019) Link prediction in recommender systems with confidence measures. Chaos Inter J Nonlinear Sci 29(8):083133
Abdolhosseini-Qomi AM, Yazdani N, Asadpour M (2020) Overlapping communities and the prediction of missing links in multiplex networks. Physica A 554:124650
Daud NN, Ab Hamid SH, Saadoon M, Sahran F, Anuar NB (2020) Applications of link prediction in social networks: a review. J Netw Comput Appl 166:102716
Berlusconi G, Calderoni F, Parolini N, Verani M, Piccardi C (2016) Link prediction in criminal networks: a tool for criminal intelligence analysis. PLoS ONE 11(4):0154244
Lim M, Abdullah A, Jhanjhi N, Supramaniam M (2019) Hidden link prediction in criminal networks using the deep reinforcement learning technique. Computers 8(1):8
Alnumay W, Ghosh U, Chatterjee P (2019) A trust-based predictive model for mobile ad hoc network in internet of things. Sensors 19(6):1467
De Bacco C, Power EA, Larremore DB, Moore C (2017) Community detection, link prediction, and layer interdependence in multilayer networks. Phys Rev E 95(4):042317
Esslimani I, Brun A, Boyer A (2011) Densifying a behavioral recommender system by social networks link prediction methods. Soc Netw Anal Min 1(3):159–172
Huang Z, Zeng DD (2006) A link prediction approach to anomalous email detection. In 2006 IEEE International Conference on Systems, Man and Cybernetics, vol 2, pp 1131–1136. IEEE
Nasiri E, Berahmand K, Rostami M, Dabiri M (2021) A novel link prediction algorithm for protein-protein interaction networks by attributed graph embedding. Comput Biol Med 137:104772
Cannistraci CV, Alanis-Lobato G, Ravasi T (2013) From link-prediction in brain connectomes and protein interactomes to the local-community-paradigm in complex networks. Sci Rep 3(1):1–14
Wang P, Xu B, Wu Y, Zhou X (2015) Link prediction in social networks: the state-of-the-art. Sci China Inf Sci 58(1):1–38
Martínez V, Berzal F, Cubero J-C (2016) A survey of link prediction in complex networks. ACM Comput Surv 49(4):1–33
Kumar A, Singh SS, Singh K, Biswas B (2020) Link prediction techniques, applications, and performance: a survey. Physica A 553:124289
Lü L, Zhou T (2011) Link prediction in complex networks: a survey. Physica A 390(6):1150–1170
Wang T, He X-S, Zhou M-Y, Fu Z-Q (2017) Link prediction in evolving networks based on popularity of nodes. Sci Rep 7(1):7147
Zhang Z, Wen J, Sun L, Deng Q, Su S, Yao P (2017) Efficient incremental dynamic link prediction algorithms in social network. Knowl-Based Syst 132:226–235
Lei K, Qin M, Bai B, Zhang G, Yang M (2019) Gcn-gan: a non-linear temporal link prediction model for weighted dynamic networks. In: IEEE INFOCOM 2019-IEEE Conference on Computer Communications, pp 388–396. IEEE
Singh AK, Lakshmanan K (2021) Pilhnb: popularity, interests, location used hidden naive bayesian-based model for link prediction in dynamic social networks. Neurocomputing 461:562–576
Bütün E, Kaya M, Alhajj R (2018) Extension of neighbor-based link prediction methods for directed, weighted and temporal social networks. Inf Sci 463:152–165
Najari S, Salehi M, Ranjbar V, Jalili M (2019) Link prediction in multiplex networks based on interlayer similarity. Physica A 536:120978
Nasiri E, Berahmand K, Li Y (2021) A new link prediction in multiplex networks using topologically biased random walks. Chaos Solitons Fractals 151:111230
Ji S, Pan S, Cambria E, Marttinen P, Philip SY (2021) A survey on knowledge graphs: representation, acquisition, and applications. IEEE Trans Neural Netw Learn Syst 33(2):494–514
Rossi A, Barbosa D, Firmani D, Matinata A, Merialdo P (2021) Knowledge graph embedding for link prediction: a comparative analysis. ACM Trans Knowl Discov Data 15(2):1–49
Tao Y, Li Y, Wu Z (2021) Temporal link prediction via reinforcement learning. In ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp 3470–3474. IEEE
Yuan W, He K, Guan D, Zhou L, Li C (2019) Graph kernel based link prediction for signed social networks. Inform Fusion 46:1–10
Mishra S, Singh SS, Kumar A, Biswas B (2022) Elp: link prediction in social networks based on ego network perspective. Physica A 605:128008
Chi K, Qu H, Yin G (2022) Link prediction for existing links in dynamic networks based on the attraction force. Chaos Solitons Fractals 159:112120
Giubilei R, Brutti P (2022) Supervised classification for link prediction in facebook ego networks with anonymized profile information. J Classif 5:1–24
Shan N, Li L, Zhang Y, Bai S, Chen X (2020) Supervised link prediction in multiplex networks. Knowl-Based Syst 203:106168
Karimi F, Lotfi S, Izadkhah H (2021) Community-guided link prediction in multiplex networks. J Informet 15(4):101178
Yang Y, Wang L, Liu D (2022) Anchor link prediction across social networks based on multiple consistency. Knowl-Based Syst 257:109939
Mishra S, Singh SS, Kumar A, Biswas B (2022) Mnerlp-mul: merged node and edge relevance based link prediction in multiplex networks. J Comput Sci 60:101606
Luo H, Li L, Zhang Y, Fang S, Chen X (2021) Link prediction in multiplex networks using a novel multiple-attribute decision-making approach. Knowl-Based Syst 219:106904
Yao Y, Zhang R, Yang F, Yuan Y, Sun Q, Qiu Y, Hu R (2017) Link prediction via layer relevance of multiplex networks. Int J Mod Phys C 28(08):1750101
Guo F, Zhou W, Wang Z, Ju C, Ji S, Lu Q (2023) A link prediction method based on topological nearest-neighbors similarity in directed networks. J Comput Sci 69:102002
Agibetov A (2023) Neural graph embeddings as explicit low-rank matrix factorization for link prediction. Pattern Recogn 133:108977
Lv L, Bardou D, Hu P, Liu Y, Yu G (2022) Graph regularized nonnegative matrix factorization for link prediction in directed temporal networks using pagerank centrality. Chaos Solitons Fractals 159:112107
Ghorbanzadeh H, Sheikhahmadi A, Jalili M, Sulaimany S (2021) A hybrid method of link prediction in directed graphs. Expert Syst Appl 165:113896
Du X, Yan J, Zhang R, Zha H (2020) Cross-network skip-gram embedding for joint network alignment and link prediction. IEEE Trans Knowl Data Eng 34(3):1080–1095
Chen G, Xu C, Wang J, Feng J, Feng J (2020) Nonnegative matrix factorization for link prediction in directed complex networks using pagerank and asymmetric link clustering information. Expert Syst Appl 148:113290
Liu S-Y, Xiao J, Xu X-K (2020) Sign prediction by motif naive bayes model in social networks. Inf Sci 541:316–331
Abbasi F, Muzammal M, Qureshi KN, Javed IT, Margaria T, Crespi N (2022) Exploiting optimised communities in directed weighted graphs for link prediction. Online Soc Netw Media 31:100222
Chen J, Zhang J, Xu X, Fu C, Zhang D, Zhang Q, Xuan Q (2019) E-lstm-d: a deep learning framework for dynamic network link prediction. IEEE Trans Syst Man Cybern Syst 51(6):3699–3712
Rossi E, Chamberlain B, Frasca F, Eynard D, Monti F, Bronstein M (xxxx) Temporal graph networks for deep learning on dynamic graphs
Yang L, Jiang X, Ji Y, Wang H, Abraham A, Liu H (2022) Gated graph convolutional network based on spatio-temporal semi-variogram for link prediction in dynamic complex network. Neurocomputing 505:289–303
Sankar A, Wu Y, Gou L, Zhang W, Yang H (2020) Dysat: deep neural representation learning on dynamic graphs via self-attention networks. In: Proceedings of the 13th International Conference on Web Search and Data Mining, pp 519–527
Huang D, Lei F (2023) Temporal group-aware graph diffusion networks for dynamic link prediction. Inform Process Manag 60(3):103292
Wu J, He L, Jia T, Tao L (2023) Temporal link prediction based on node dynamics. Chaos Solitons Fractals 170:113402
Kumar M, Mishra S, Pandey RD, Biswas B (2022) Cflp: a new cost based feature for link prediction in dynamic networks. J Comput Sci 62:101726
Zou L, Wang C, Zeng A, Fan Y, Di Z (2021) Link prediction in growing networks with aging. Soc Netw 65:1–7
Muniz CP, Goldschmidt R, Choren R (2018) Combining contextual, temporal and topological information for unsupervised link prediction in social networks. Knowl-Based Syst 156:129–137
Lim M, Abdullah A, Jhanjhi N, Khan MK, Supramaniam M (2019) Link prediction in time-evolving criminal network with deep reinforcement learning technique. IEEE Access 7:184797–184807
Mohamed HA, Pilutti D, James S, Del Bue A, Pelillo M, Vascon S (2023) Locality-aware subgraphs for inductive link prediction in knowledge graphs. Pattern Recogn Lett 167:90–97
Zeb A, Saif S, Chen J, Haq AU, Gong Z, Zhang D (2022) Complex graph convolutional network for link prediction in knowledge graphs. Expert Syst Appl 200:116796
Kumari A, Behera RK, Sahoo KS, Nayyar A, Kumar Luhach A, Prakash Sahoo S (2022) Supervised link prediction using structured-based feature extraction in social network. Concurr Comput Practice Exp 34(13):5839
Rafiee S, Salavati C, Abdollahpouri A (2020) Cndp: link prediction based on common neighbors degree penalization. Physica A 539:122950
Tang M, Wang W (2022) Cold-start link prediction integrating community information via multi-nonnegative matrix factorization. Chaos Solitons Fractals 162:112421
Zhou M, Han Q, Li M, Li K, Qian Z (2023) Nearest neighbor walk network embedding for link prediction in complex networks. Physica A 620:128757
Mavromatis C, Karypis G (2021) Graph infoclust: maximizing coarse-grain mutual information in graphs. In Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp 541–553. Springer
Wang J, Ma Y, Liu M, Shen W (2019) Link prediction based on community information and its parallelization. IEEE Access 7:62633–62645
Yuliansyah H, Othman ZA, Bakar AA (2023) A new link prediction method to alleviate the cold-start problem based on extending common neighbor and degree centrality. Physica A 616:128546
Ahmad I, Akhtar MU, Noor S, Shahnaz A (2020) Missing link prediction using common neighbor and centrality based parameterized algorithm. Sci Rep 10(1):1–9
Aziz F, Gul H, Muhammad I, Uddin I (2020) Link prediction using node information on local paths. Physica A 557:124980
Ayoub J, Lotfi D, El Marraki M, Hammouch A (2020) Accurate link prediction method based on path length between a pair of unlinked nodes and their degree. Soc Netw Anal Min 10(1):1–13
Jibouni A, Lotfi D, El Marraki M, Hammouch A (2018) A novel parameter free approach for link prediction. In 2018 6th International Conference on Wireless Networks and Mobile Communications (WINCOM), pp 1–6. IEEE
Wang G, Wang Y, Li J, Liu K (2021) A multidimensional network link prediction algorithm and its application for predicting social relationships. J Comput Sci 53:101358
Berahmand K, Nasiri E, Forouzandeh S, Li Y (2022) A preference random walk algorithm for link prediction through mutual influence nodes in complex networks. J King Saud Univ Comput Inf Sci 34(8):5375–5387
Li L, Fang S, Bai S, Xu S, Cheng J, Chen X (2019) Effective link prediction based on community relationship strength. IEEE Access 7:43233–43248
Singh SS, Mishra S, Kumar A, Biswas B (2020) Clp-id: community-based link prediction using information diffusion. Inf Sci 514:402–433
Zhang M, Chen Y (2018) Link prediction based on graph neural networks. Adv Neural Inf Process Syst 31:25
Zhang M, Chen Y (2017) Weisfeiler-lehman neural machine for link prediction. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp 575–583
Daud NN, Hamid SHA, Seri C, Saadoon M, Anuar NB (2022) Scalable link prediction in twitter using self-configured framework. arXiv preprint arXiv:2208.09798
Keikha MM, Rahgozar M, Asadpour M (2021) Deeplink: a novel link prediction framework based on deep learning. J Inf Sci 47(5):642–657
Cai L, Ji S (2020) A multi-scale approach for graph link prediction. In Proceedings of the AAAI Conference on Artificial Intelligence, vol 34, pp 3308–3315
Berahmand K, Nasiri E, Rostami M, Forouzandeh S (2021) A modified deepwalk method for link prediction in attributed social network. Computing 103:2227–2249
Fu X, Zhang J, Meng Z, King I (2020) Magnn: Metapath aggregated graph neural network for heterogeneous graph embedding. In Proceedings of The Web Conference 2020, pp 2331–2341
Chen H, Yin H, Sun X, Chen T, Gabrys B, Musial K (2020) Multi-level graph convolutional networks for cross-platform anchor link prediction. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp 1503–1511
Zhang P, Chen J, Che C, Zhang L, Jin B, Zhu Y (2023) Iea-gnn: anchor-aware graph neural network fused with information entropy for node classification and link prediction. Inf Sci 634:665–676
Chen G, Wang H, Fang Y, Jiang L (2022) Link prediction by deep non-negative matrix factorization. Expert Syst Appl 188:115991
Cotta L, Bevilacqua B, Ahmed N, Ribeiro B (2023) Causal lifting and link prediction. arXiv preprint arXiv:2302.01198
Zulaika U, Sanchez-Corcuera R, Almeida A, Lopez-de-Ipina D (2022) Lwp-wl: link weight prediction based on cnns and the weisfeiler-lehman algorithm. Appl Soft Comput 120:108657
Zhao Y, Sun Y, Huang Y, Li L, Dong H (2023) Link prediction in heterogeneous networks based on metapath projection and aggregation. Expert Syst Appl 2:120325
Liu Y, Liu S, Yu F, Yang X (2022) Link prediction algorithm based on the initial information contribution of nodes. Inf Sci 608:1591–1616
Zachary WW (1977) An information flow model for conflict and fission in small groups. J Anthropol Res 33(4):452–473
Lusseau D, Schneider K, Boisseau OJ, Haase P, Slooten E, Dawson SM (2003) The bottlenose dolphin community of doubtful sound features a large proportion of long-lasting associations: can geographic isolation explain this unique trait? Behav Ecol Sociobiol 54:396–405
Kreft H, Jetz W (2007) Global patterns and determinants of vascular plant diversity. Proc Natl Acad Sci 104(14):5925–5930
Gleiser PM, Danon L (2003) Community structure in jazz. Adv Complex Syst 6(04):565–573
Batagelj V, Mrvar A (2006) Pajek datasets http://vlado.fmf.uni-lj.si/pub/networks/data/mix.USAir97.net
Anelli VW, Delić A, Sottocornola G, Smith J, Andrade N, Belli L, Bronstein M, Gupta A, Ira Ktena S, Lung-Yut-Fong A et al. (2020) Recsys 2020 challenge workshop: engagement prediction on twitter’s home timeline. In Proceedings of the 14th ACM Conference on Recommender Systems, pp 623–627
Leskovec J, Mcauley J (2012) Learning to discover social circles in ego networks. Adv Neural Inf Process Syst 25:58
Anonymous: Facebook wall posts network dataset. http://konect.cc/networks/facebook-wosn-wall/ (2017)
Yin H, Benson AR, Leskovec J, Gleich DF (2017) Local higher-order graph clustering. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp 555–564
Von Mering C, Krause R, Snel B, Cornell M, Oliver SG, Fields S, Bork P (2002) Comparative assessment of large-scale data sets of protein-protein interactions. Nature 417(6887):399–403
Watts DJ, Strogatz SH (1998) Collective dynamics of ‘small-world’ networks. Nature 393(6684):440–442
Panzarasa P, Opsahl T, Carley KM (2009) Patterns and dynamics of users’ behavior and interaction: network analysis of an online community. J Am Soc Inform Sci Technol 60(5):911–932
Hristova D, Noulas A, Brown C, Musolesi M, Mascolo C (2016) A multilayer approach to multiplexity and link prediction in online geo-social networks. EPJ Data Sci 5:1–17
Vickers M, Chan S (1981) Representing classroom social structure. Victoria Institute of Secondary Education, Melbourne
Chai L, Tu L, Yu X, Wang X, Chen J (2023) Link prediction and its optimization based on low-rank representation of network structures. Expert Syst Appl 219:119680
Barracchia EP, Pio G, Bifet A, Gomes HM, Pfahringer B, Ceci M (2022) Lp-robin: link prediction in dynamic networks exploiting incremental node embedding. Inf Sci 606:702–721
Cai L, Li J, Wang J, Ji S (2021) Line graph neural networks for link prediction. IEEE Trans Pattern Anal Mach Intell 2:56
Zhang Z, Sun S, Ma G, Zhong C (2023) Line graph contrastive learning for link prediction. Pattern Recogn 140:109537
Hanley JA, McNeil BJ (1982) The meaning and use of the area under a receiver operating characteristic (roc) curve. Radiology 143(1):29–36
Mumin D, Shi L-L, Liu L (2022) An efficient algorithm for link prediction based on local information: considering the effect of node degree. Concurr Comput Pract Exp 34(7):6289
Newman ME (2001) Clustering and preferential attachment in growing networks. Phys Rev E 64(2):025102
Salton G, Yang C-S (1973) On the specification of term values in automatic indexing. J Doc 2:58
Jaccard P (1901) Étude comparative de la distribution florale dans une portion des alpes et des jura. Bull Soc Vaudoise Sci Nat 37:547–579
Sorensen TA (1948) A method of establishing groups of equal amplitude in plant sociology based on similarity of species content and its application to analyses of the vegetation on danish commons. Biol Skar 5:1–34
Liben-Nowell D, Kleinberg J (2003) The link prediction problem for social networks. In Proceedings of the Twelfth International Conference on Information and Knowledge Management, pp 556–559
Barabási A-L, Albert R (1999) Emergence of scaling in random networks. Science 286(5439):509–512
Adamic LA, Adar E (2003) Friends and neighbors on the web. Soc Netw 25(3):211–230
Zhou T, Kuscsik Z, Liu J-G, Medo M, Wakeling JR, Zhang Y-C (2010) Solving the apparent diversity-accuracy dilemma of recommender systems. Proc Natl Acad Sci 107(10):4511–4515
Katz L (1953) A new status index derived from sociometric analysis. Psychometrika 18(1):39–43
Tong H, Faloutsos C, Pan J-Y (2006) Fast random walk with restart and its applications. In Sixth International Conference on Data Mining (ICDM’06), pp 613–622. IEEE
Jeh G, Widom J (2002) Simrank: a measure of structural-context similarity. In Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp 538–543
Leicht EA, Holme P, Newman ME (2006) Vertex similarity in networks. Phys Rev E 73(2):026120
CHEBOTAREV P (1997) The matrix-forest theorem and measuring relations in small social groups. Autom Remote Control 58(9):1505–1514
Liu W, Lü L (2010) Link prediction based on local random walk. Europhys Lett 89(5):58007
Zhou T, Lü L, Zhang Y-C (2009) Predicting missing links via local information. Eur Phys J B 71:623–630
Salton G (1983) Introduction to modern information retrieval. McGraw-Hill, London
Pons P, Latapy M (2005) Computing communities in large networks using random walks. In Computer and Information Sciences-ISCIS 2005: 20th International Symposium, Istanbul, Turkey, October 26–28, 2005. Proceedings 20, pp 284–293. Springer
Kowsari K, Jafari Meimandi K, Heidarysafa M, Mendu S, Barnes L, Brown D (2019) Text classification algorithms: a survey. Information 10(4):150
Sen PC, Hajra M, Ghosh M (2020) Supervised classification algorithms in machine learning: A survey and review. In Emerging Technology in Modelling and Graphics: Proceedings of IEM Graph 2018, pp 99–111. Springer
Wu L, Cui P, Pei J, Zhao L, Guo X (2022) Graph neural networks: foundation, frontiers and applications. In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp 4840–4841
Kipf TN, Welling M (xxxx) Semi-supervised classification with graph convolutional networks
Zaheer M, Kottur S, Ravanbakhsh S, Poczos B, Salakhutdinov RR, Smola AJ (2017) Deep sets. Adv Neural Inf Process Syst 30:58
Li Y, Zemel R, Brockschmidt M, Tarlow D (2016) Gated graph sequence neural networks. In Proceedings of ICLR’16
He C, Cheng J, Fei X, Weng Y, Zheng Y, Tang Y (2023) Community preserving adaptive graph convolutional networks for link prediction in attributed networks. Knowl-Based Syst 5:110589
Mi Q, Wang X, Lin Y (2023) A double attention graph network for link prediction on temporal graph. Appl Soft Comput 136:110059
Mnih V, Kavukcuoglu K, Silver D, Rusu AA, Veness J, Bellemare MG, Graves A, Riedmiller M, Fidjeland AK, Ostrovski G et al (2015) Human-level control through deep reinforcement learning. Nature 518(7540):529–533
Lim M, Abdullah A, Jhanjhi N (2020) Data fusion-link prediction for evolutionary network with deep reinforcement learning. Int J Adv Comput Sci Appl 11(6):245
Chen L, Cui J, Tang X, Qian Y, Li Y, Zhang Y (2022) Rlpath: a knowledge graph link prediction method using reinforcement learning based attentive relation path searching and representation learning. Appl Intell 52(4):4715–4726
Xiao Y, Li R, Lu X, Liu Y (2021) Link prediction based on feature representation and fusion. Inf Sci 548:1–17
Le T, Tran H, Le B (2023) Knowledge graph embedding with the special orthogonal group in quaternion space for link prediction. Knowl-Based Syst 266:110400
Chen G, Xu C, Wang J, Feng J, Feng J (2020) Robust non-negative matrix factorization for link prediction in complex networks using manifold regularization and sparse learning. Physica A 539:122882
Moutinho JP, Melo A, Coutinho B, Kovács IA, Omar Y (2023) Quantum link prediction in complex networks. Phys Rev A 107(3):032605
Kumar M, Mishra S, Biswas B (2022) Pqklp: projected quantum kernel based link prediction in dynamic networks. Comput Commun 196:249–267
Singh SS, Srivastva D, Kumar A, Srivastava V (2022) Flp-id: Fuzzy-based link prediction in multiplex social networks using information diffusion perspective. Knowl-Based Syst 248:108821
Zheng J, Qin Z, Wang S, Li D (2022) Attention-based explainable friend link prediction with heterogeneous context information. Inf Sci 597:211–229
Xu R-Q, Zhou M-Y, Liao H (2022) Pnr: How to optimally combine different link prediction approaches? Inf Sci 584:342–359
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Arrar, D., Kamel, N. & Lakhfif, A. A comprehensive survey of link prediction methods. J Supercomput 80, 3902–3942 (2024). https://doi.org/10.1007/s11227-023-05591-8
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DOI: https://doi.org/10.1007/s11227-023-05591-8