乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,15]],"date-time":"2024-09-15T00:05:23Z","timestamp":1726358723726},"reference-count":35,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,8,6]],"date-time":"2024-08-06T00:00:00Z","timestamp":1722902400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Pattern Recognition"],"published-print":{"date-parts":[[2025,1]]},"DOI":"10.1016\/j.patcog.2024.110871","type":"journal-article","created":{"date-parts":[[2024,8,8]],"date-time":"2024-08-08T00:54:59Z","timestamp":1723078499000},"page":"110871","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Evolving meta-correlation classes for binary similarity"],"prefix":"10.1016","volume":"157","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-2972-7188","authenticated-orcid":false,"given":"Valentina","family":"Franzoni","sequence":"first","affiliation":[]},{"given":"Giulio","family":"Biondi","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-0166-3944","authenticated-orcid":false,"given":"Yang","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Alfredo","family":"Milani","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.patcog.2024.110871_b1","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2023.109879","article-title":"Estimation of interlayer textural relationships to discriminate the benignancy\/malignancy of brain tumors","volume":"144","author":"Das","year":"2023","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2024.110871_b2","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2021.108382","article-title":"A novel bio-inspired texture descriptor based on biodiversity and taxonomic measures","volume":"123","author":"Ataky","year":"2022","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2024.110871_b3","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2023.109687","article-title":"Triplet teaching graph contrastive networks with self-evolving adaptive augmentation","volume":"142","author":"Miao","year":"2023","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2024.110871_b4","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2024.107878","article-title":"Fermatean fuzzy similarity measures based on tanimoto and s\u00f8rensen coefficients with applications to pattern classification, medical diagnosis and clustering analysis","volume":"132","author":"Liu","year":"2024","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.patcog.2024.110871_b5","first-page":"132","article-title":"Semantic similarity measures for topological link prediction","volume":"vol. 12253","author":"Biondi","year":"2020"},{"key":"10.1016\/j.patcog.2024.110871_b6","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2021.108216","article-title":"Joint multi-label learning and feature extraction for temporal link prediction","volume":"121","author":"Ma","year":"2022","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2024.110871_b7","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2022.108977","article-title":"Neural graph embeddings as explicit low-rank matrix factorization for link prediction","volume":"133","author":"Agibetov","year":"2023","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2024.110871_b8","series-title":"Handbook of Optimization: From Classical To Modern Approach","first-page":"187","article-title":"Differential evolution","author":"Price","year":"2013"},{"key":"10.1016\/j.patcog.2024.110871_b9","doi-asserted-by":"crossref","DOI":"10.1016\/j.jocs.2014.01.003","article-title":"An evolutionary algorithm approach to link prediction in dynamic social networks","author":"Bliss","year":"2014","journal-title":"J. Comput. Sci."},{"key":"10.1016\/j.patcog.2024.110871_b10","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2021.107936","article-title":"A survey on heterogeneous network representation learning","volume":"116","author":"Xie","year":"2021","journal-title":"Pattern Recognit."},{"issue":"12","key":"10.1016\/j.patcog.2024.110871_b11","doi-asserted-by":"crossref","first-page":"4946","DOI":"10.1109\/TCYB.2019.2920268","article-title":"An advanced deep generative framework for temporal link prediction in dynamic networks","volume":"50","author":"Yang","year":"2020","journal-title":"IEEE Trans. Cybern."},{"issue":"7","key":"10.1016\/j.patcog.2024.110871_b12","doi-asserted-by":"crossref","first-page":"1963","DOI":"10.1109\/TCYB.2017.2720180","article-title":"A multiobjective evolutionary algorithm based on structural and attribute similarities for community detection in attributed networks","volume":"48","author":"Li","year":"2018","journal-title":"IEEE Trans. Cybern."},{"key":"10.1016\/j.patcog.2024.110871_b13","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.110292","article-title":"Hypergraph modeling and hypergraph multi-view attention neural network for link prediction","volume":"149","author":"Chai","year":"2024","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2024.110871_b14","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1007\/s13278-022-00999-1","article-title":"Link prediction using betweenness centrality and graph neural networks","volume":"13","author":"Ayoub","year":"2022","journal-title":"Soc. Netw. Anal. Min."},{"key":"10.1016\/j.patcog.2024.110871_b15","first-page":"6271","article-title":"Topology-aware correlations between relations for inductive link prediction in knowledge graphs","volume":"vol. 35","author":"Chen","year":"2021"},{"key":"10.1016\/j.patcog.2024.110871_b16","first-page":"4679","article-title":"Generalized relation learning with semantic correlation awareness for link prediction","volume":"vol. 35","author":"Zhang","year":"2021"},{"issue":"11","key":"10.1016\/j.patcog.2024.110871_b17","doi-asserted-by":"crossref","first-page":"2402","DOI":"10.1109\/TKDE.2017.2730207","article-title":"An ensemble approach to link prediction","volume":"29","author":"Duan","year":"2017","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.patcog.2024.110871_b18","doi-asserted-by":"crossref","unstructured":"A. Zhiyuli, X. Liang, X. Zhou, Learning Structural Features of Nodes in Large-Scale Networks for Link Prediction, in: AAAI Conference on Artificial Intelligence, 2016.","DOI":"10.1609\/aaai.v30i1.9919"},{"key":"10.1016\/j.patcog.2024.110871_b19","first-page":"69","article-title":"A survey of link prediction in complex networks","volume":"49","author":"Mart\u00ednez","year":"2016","journal-title":"ACM Comput. Surv."},{"issue":"3","key":"10.1016\/j.patcog.2024.110871_b20","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1016\/S0378-8733(03)00009-1","article-title":"Friends and neighbors on the web","volume":"25","author":"Adamic","year":"2003","journal-title":"Social Networks"},{"key":"10.1016\/j.patcog.2024.110871_b21","doi-asserted-by":"crossref","DOI":"10.1016\/j.physa.2020.124289","article-title":"Link prediction techniques, applications, and performance: A survey","volume":"553","author":"Kumar","year":"2020","journal-title":"Phys. A"},{"key":"10.1016\/j.patcog.2024.110871_b22","series-title":"2018 11th International Congress CISP-BMEI","first-page":"1","article-title":"Integrating binary similarity measures in the link prediction task","author":"Milani","year":"2018"},{"issue":"1","key":"10.1016\/j.patcog.2024.110871_b23","first-page":"43","article-title":"A survey of binary similarity and distance measures","volume":"8","author":"Seung-Seok","year":"2010","journal-title":"J. Syst., Cybern. Inform."},{"issue":"7","key":"10.1016\/j.patcog.2024.110871_b24","doi-asserted-by":"crossref","first-page":"1019","DOI":"10.1002\/asi.20591","article-title":"The link-prediction problem for social networks","volume":"58","author":"Liben-Nowell","year":"2007","journal-title":"J. Am. Soc. Inf. Sci. Technol."},{"key":"10.1016\/j.patcog.2024.110871_b25","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2020.103479","article-title":"Differential evolution: A review of more than two decades of research","volume":"90","author":"Bilal","year":"2020","journal-title":"Eng. Appl. Artif. Intell."},{"issue":"1","key":"10.1016\/j.patcog.2024.110871_b26","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1145\/1217299.1217301","article-title":"Graph evolution: Densification and shrinking diameters","volume":"1","author":"Leskovec","year":"2007","journal-title":"ACM Trans. Knowl. Discov. Data"},{"issue":"3 Pt 2","key":"10.1016\/j.patcog.2024.110871_b27","article-title":"Finding community structure in networks using the eigenvectors of matrices","volume":"74","author":"Newman","year":"2006","journal-title":"Phys. Rev. E, Stat., Nonlinear, Soft Matter Phys."},{"key":"10.1016\/j.patcog.2024.110871_b28","series-title":"Proceedings of the ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining","article-title":"Local higher-order graph clustering","author":"Yin","year":"2017"},{"key":"10.1016\/j.patcog.2024.110871_b29","first-page":"197","article-title":"Matching organizational structure and social network extracted from email communication","volume":"vol. 87","author":"Michalski","year":"2011"},{"key":"10.1016\/j.patcog.2024.110871_b30","series-title":"Proceedings of the 22Nd Int. Conf. on WWW Companion","first-page":"1343","article-title":"The koblenz network collection","author":"Kunegis","year":"2013"},{"issue":"1","key":"10.1016\/j.patcog.2024.110871_b31","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1093\/cercor\/bhs270","article-title":"A weighted and directed interareal connectivity matrix for macaque cerebral cortex","volume":"24","author":"Markov","year":"2014","journal-title":"Cerebral Cortex (New York, N.Y. : 1991)"},{"issue":"6887","key":"10.1016\/j.patcog.2024.110871_b32","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1038\/nature750","article-title":"Comparative assessment of large-scale data sets of protein-protein interactions","volume":"417","author":"von Mering","year":"2002","journal-title":"Nature"},{"key":"10.1016\/j.patcog.2024.110871_b33","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/S0079-6123(07)68012-1","article-title":"Understanding the mind of a worm: hierarchical network structure underlying nervous system function in C. elegans","volume":"168","author":"Chatterjee","year":"2007","journal-title":"Prog. Brain Res."},{"year":"2006","series-title":"Pajek datasets","author":"Batagelj","key":"10.1016\/j.patcog.2024.110871_b34"},{"key":"10.1016\/j.patcog.2024.110871_b35","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.110606","article-title":"Module-based graph pooling for graph classification","volume":"154","author":"Deng","year":"2024","journal-title":"Pattern Recognit."}],"container-title":["Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0031320324006228?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0031320324006228?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,9,14]],"date-time":"2024-09-14T06:28:15Z","timestamp":1726295295000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0031320324006228"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1]]},"references-count":35,"alternative-id":["S0031320324006228"],"URL":"https:\/\/doi.org\/10.1016\/j.patcog.2024.110871","relation":{},"ISSN":["0031-3203"],"issn-type":[{"type":"print","value":"0031-3203"}],"subject":[],"published":{"date-parts":[[2025,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Evolving meta-correlation classes for binary similarity","name":"articletitle","label":"Article Title"},{"value":"Pattern Recognition","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.patcog.2024.110871","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 The Author(s). Published by Elsevier Ltd.","name":"copyright","label":"Copyright"}],"article-number":"110871"}}