{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T14:11:45Z","timestamp":1760710305819,"version":"3.37.3"},"reference-count":43,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2020,7,21]],"date-time":"2020-07-21T00:00:00Z","timestamp":1595289600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,7,21]],"date-time":"2020-07-21T00:00:00Z","timestamp":1595289600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2017YFB1401903"],"award-info":[{"award-number":["2017YFB1401903"]}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61673020"],"award-info":[{"award-number":["61673020"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61702003"],"award-info":[{"award-number":["61702003"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61876001"],"award-info":[{"award-number":["61876001"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100003995","name":"Natural Science Foundation of Anhui Province","doi-asserted-by":"crossref","award":["1808085MF175"],"award-info":[{"award-number":["1808085MF175"]}],"id":[{"id":"10.13039\/501100003995","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2020,12]]},"DOI":"10.1007\/s10489-020-01648-w","type":"journal-article","created":{"date-parts":[[2020,7,21]],"date-time":"2020-07-21T00:03:35Z","timestamp":1595289815000},"page":"4482-4494","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Generative image inpainting for link prediction"],"prefix":"10.1007","volume":"50","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0550-0237","authenticated-orcid":false,"given":"Fulan","family":"Qian","sequence":"first","affiliation":[]},{"given":"Jianhong","family":"Li","sequence":"additional","affiliation":[]},{"given":"Xiuquan","family":"Du","sequence":"additional","affiliation":[]},{"given":"Xi","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Shu","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Yanping","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,7,21]]},"reference":[{"key":"1648_CR1","doi-asserted-by":"crossref","unstructured":"Liben-Nowell D, Kleinberg J (2003) The link-prediction problem for social networks. Wiley subscription services, vol 58. A Wiley Company Inc, pp 556\u2013559","DOI":"10.1145\/956863.956972"},{"key":"1648_CR2","doi-asserted-by":"crossref","unstructured":"Adamic L, Aar EA (2003) Friends and neighbors on the web. Soc Netw, 211\u2013230","DOI":"10.1016\/S0378-8733(03)00009-1"},{"key":"1648_CR3","unstructured":"Zhang M, Chen Y (2018) Link prediction based on graph neural networks. In: International conference on neural information processing systems, pp 5171\u20135181"},{"key":"1648_CR4","doi-asserted-by":"crossref","unstructured":"Symeonidis P, Iakovidou N, Mantas N, Manolopoulos Y (2013) From biological to social networks: link prediction based on multi-way spectral clustering. Data Knowl Eng, 226\u2013242","DOI":"10.1016\/j.datak.2013.05.008"},{"issue":"6","key":"1648_CR5","doi-asserted-by":"publisher","first-page":"1150","DOI":"10.1016\/j.physa.2010.11.027","volume":"390","author":"L Lu","year":"2010","unstructured":"Lu L, Zhou T (2010) Link prediction in complex networks: a survey. Physica Stat Mech Appl 390(6):1150\u20131170","journal-title":"Physica Stat Mech Appl"},{"key":"1648_CR6","unstructured":"Paul J (1901) tude comparative de la distribution florale dans une portion des Alpes et des Jura. Bull Soc Vaudoise Sci Nat, 547\u2013579"},{"key":"1648_CR7","doi-asserted-by":"crossref","unstructured":"Kate L (1953) A new status index derived from sociometric analysis. Psychometrika, 39\u201343","DOI":"10.1007\/BF02289026"},{"key":"1648_CR8","unstructured":"Haveliwala T, Kamvar A, Jeh G (2003) An analytical comparison of approaches to personalizing pagerank. Stanford"},{"key":"1648_CR9","unstructured":"Yang G, Yanping Z, Fulan Q, Shu Z (2017) Link prediction algorithm based on node similarity of triadic closure. J Front Comput Sci Technol, 822\u2013832"},{"key":"1648_CR10","doi-asserted-by":"crossref","unstructured":"Barabsi AL, Albert R (1999) Emergence of scaling in random networks. Science, 509\u2013512","DOI":"10.1126\/science.286.5439.509"},{"key":"1648_CR11","doi-asserted-by":"crossref","unstructured":"Zhou T, Lv L, Zhang YC (2009) Predicting missing links via local information. Europ Phys J B, 623\u2013630","DOI":"10.1140\/epjb\/e2009-00335-8"},{"key":"1648_CR12","doi-asserted-by":"crossref","unstructured":"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\u2013543","DOI":"10.1145\/775047.775126"},{"key":"1648_CR13","doi-asserted-by":"crossref","unstructured":"Klein DJ, Randi M (1993) Resistance distance. J Math Chem, 81\u201395","DOI":"10.1007\/BF01164627"},{"issue":"8","key":"1648_CR14","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1109\/MC.2009.263","volume":"42","author":"Y Koren","year":"2009","unstructured":"Koren Y, Bell R, Volinsky C (2009) Matrix factorization techniques for recommender systems. IEEE Comput 42(8):30\u201337","journal-title":"IEEE Comput"},{"issue":"1","key":"1648_CR15","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1109\/JPROC.2015.2483592","volume":"104","author":"M Nickel","year":"2015","unstructured":"Nickel M, Murphy K, Tresp V, Gabrilovich E (2015) A review of relational machine learning for knowledge graphs. Proc IEEE 104(1):11\u201333","journal-title":"Proc IEEE"},{"issue":"5","key":"1648_CR16","first-page":"1981","volume":"9","author":"EM Airoldi","year":"2008","unstructured":"Airoldi EM, Blei DM, Fienberg SE, Xing EP (2008) Mixed membership stochastic blockmodels. J Mach Learn Res 9(5):1981","journal-title":"J Mach Learn Res"},{"key":"1648_CR17","doi-asserted-by":"publisher","first-page":"2762","DOI":"10.1007\/s10489-019-01413-8","volume":"49","author":"A Kumar","year":"2019","unstructured":"Kumar A, Singh S, Singh K, Biswas B (2019) Level-2 node clustering coefficient-based link prediction. Appl Intell 49:2762\u20132779","journal-title":"Appl Intell"},{"issue":"11","key":"1648_CR18","doi-asserted-by":"publisher","first-page":"2402","DOI":"10.1109\/TKDE.2017.2730207","volume":"29","author":"L Duan","year":"2017","unstructured":"Duan L, Ma S, Aggarwal C, Ma T, Huai J (2017) An ensemble approach to link prediction. IEEE Trans Knowl Data Eng 29(11):2402\u20132416","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"12","key":"1648_CR19","doi-asserted-by":"publisher","first-page":"2295","DOI":"10.1109\/JPROC.2017.2761740","volume":"105","author":"V Sze","year":"2017","unstructured":"Sze V, Chen Y, Yang TJ, Emer JS (2017) Efficient processing of deep neural networks: a tutorial and survey. Proc IEEE 105(12):2295\u20132329","journal-title":"Proc IEEE"},{"key":"1648_CR20","doi-asserted-by":"crossref","unstructured":"Tang D, Qin B, Liu T (2015) Document modeling with gated recurrent neural network for sentiment classification. In: Conference on empirical methods in natural language processing, pp 1422\u20131432","DOI":"10.18653\/v1\/D15-1167"},{"issue":"8","key":"1648_CR21","doi-asserted-by":"publisher","first-page":"1200","DOI":"10.1109\/83.935036","volume":"10","author":"C Ballester","year":"2001","unstructured":"Ballester C, Bertalmio M, Caselles V, Sapiro G (2001) Filling-in by joint interpolation of vector fields and gray levels. IEEE Trans Image Process Public IEEE Signal Process Soc 10(8):1200\u2013 1211","journal-title":"IEEE Trans Image Process Public IEEE Signal Process Soc"},{"key":"1648_CR22","unstructured":"Krizhevsky A, Sutskever I, Hinton G (2012) ImageNet classification with deep convolutional neural networks. In: International conference on neural information processing systems, vol 60, pp 1097\u20131105"},{"key":"1648_CR23","unstructured":"Jaderberg M, Simonyan K, Zisserman A, Kavukcuoglu K (2015) Spatial transformer networks. In: International conference on neural information processing systems, pp 2017\u20132025"},{"key":"1648_CR24","unstructured":"Lommatzsch A (2009) Learning spectral graph transformations for link prediction. In: Proceedings of the 26th annual international conference on machine learning. ACM, pp 561\u2013568"},{"key":"1648_CR25","doi-asserted-by":"crossref","unstructured":"Jeon Y, Kim J (2017) Active convolution: learning the shape of convolution for image classification. In: IEEE Conference on computer vision and pattern recognition, pp 1846\u20131854","DOI":"10.1109\/CVPR.2017.200"},{"issue":"1","key":"1648_CR26","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1109\/TNN.2008.2005605","volume":"20","author":"F Scarselli","year":"2009","unstructured":"Scarselli F, Gori M, Tsoi AC, Hagenbuchner M, Monfardini G (2009) The graph neural network model. IEEE Trans Neural Netw 20(1):61","journal-title":"IEEE Trans Neural Netw"},{"key":"1648_CR27","doi-asserted-by":"crossref","unstructured":"Zhang M, Tang J, Qu M, Yan J, Wang M (2015) Line: large-scale information network embedding. In: Proceedings of the 24th international conference on World Wide Web, pp 1067\u20131077","DOI":"10.1145\/2736277.2741093"},{"key":"1648_CR28","doi-asserted-by":"crossref","unstructured":"Perozzi B, Alrfou R, Skiena S (2014) Deepwalk: online learning of social representations. In: Proceedings of the 20th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, pp 701\u2013710","DOI":"10.1145\/2623330.2623732"},{"key":"1648_CR29","doi-asserted-by":"crossref","unstructured":"Grover A, Leskovec J (2016) node2vec: scalable feature learning for networks. In: Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining. ACM, pp 855\u2013864","DOI":"10.1145\/2939672.2939754"},{"key":"1648_CR30","unstructured":"Mikolov T, Sutskever I, Chen K, Corrado G, Dean J (2013) Distributed representations of words and phrases and their compositionality. In: Proceedings of the 26th international conference on neural information processing systems, pp 3111\u20133119"},{"key":"1648_CR31","doi-asserted-by":"crossref","unstructured":"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. ACM, pp 575\u2013583","DOI":"10.1145\/3097983.3097996"},{"key":"1648_CR32","unstructured":"Yana k., Egor S, Akmal A (2019) Spring-electrical models for link prediction. In: Proceedings of the 12th ACM international conference on web search and data mining, pp 708\u2013716"},{"key":"1648_CR33","unstructured":"Yana k., Egor S, Akmal A (2019) Spring-electrical models for link prediction. In: Proceedings of the 12th ACM international conference on web search and data mining, pp 708\u2013716"},{"issue":"7553","key":"1648_CR34","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/nature14539","volume":"521","author":"Y Lecun","year":"2015","unstructured":"Lecun Y, Bengio Y, Hinton G (2015) Deep learning. Nature 521(7553):436","journal-title":"Nature"},{"key":"1648_CR35","unstructured":"Goodfellow IJ, Pouget-Abadie J, Mirza M, Xu B, Warde-Farley D, Ozair S (2014) Generative adversarial nets. In: International conference on neural information processing systems, vol 3, pp 2672\u20132680"},{"key":"1648_CR36","doi-asserted-by":"crossref","unstructured":"Yu J, Lin Z, Yang J, Shen X, Lu X, Huang TS (2018) Generative image inpainting with contextual attention. In: IEEE Conference on computer vision and pattern recognition, pp 5505\u20135514","DOI":"10.1109\/CVPR.2018.00577"},{"key":"1648_CR37","unstructured":"Gulrajani I, Ahmed F, Arjovsky M, Dumoulin V, Courville A (2017) Improved training of wasserstein gans. In: International conference on neural information processing systems, pp 5767\u20135777"},{"key":"1648_CR38","unstructured":"Arjovsky M, Chintala S, Bottou L (2017) Wasserstein gan. In: International conference on machine learning, pp 214\u2013223"},{"key":"1648_CR39","doi-asserted-by":"publisher","first-page":"4531","DOI":"10.1007\/s10489-018-1220-4","volume":"48","author":"M Gao","year":"2018","unstructured":"Gao M, Chen L, Li B, Liu W (2018) A link prediction algorithm based on low-rank matrix completion. Appl Intell 48:4531\u20134550","journal-title":"Appl Intell"},{"key":"1648_CR40","unstructured":"Qian F, Yang Q, Ma C, Zhang Y (2019) Link prediction algorithm of weighted friend recommendation model. Journal of Frontiers of Computer Science & Technology"},{"key":"1648_CR41","doi-asserted-by":"crossref","unstructured":"Qian F, Gao Y, Zhao S, Tang J, Zhang Y (2017) Combining topological properties and strong ties for link prediction. Tsinghua Sci Technol, 595\u2013608","DOI":"10.23919\/TST.2017.8195343"},{"issue":"3","key":"1648_CR42","first-page":"2539","volume":"12","author":"N Shervashidze","year":"2011","unstructured":"Shervashidze N, Schweitzer P, Leeuwen EJV, Mehlhorn K, Borgwardt KM (2011) Weisfeiler-lehman graph kernels. J Mach Learn Res 12(3):2539\u20132561","journal-title":"J Mach Learn Res"},{"key":"1648_CR43","unstructured":"Bo K, Jefrey L, Tijl D (2019) Conditional network embeddings. In: Proceedings of the international conference on learning representations"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-020-01648-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10489-020-01648-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-020-01648-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,7,20]],"date-time":"2021-07-20T23:55:19Z","timestamp":1626825319000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10489-020-01648-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,21]]},"references-count":43,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2020,12]]}},"alternative-id":["1648"],"URL":"https:\/\/doi.org\/10.1007\/s10489-020-01648-w","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"type":"print","value":"0924-669X"},{"type":"electronic","value":"1573-7497"}],"subject":[],"published":{"date-parts":[[2020,7,21]]},"assertion":[{"value":"21 July 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}