{"id":"https://openalex.org/W2902391757","doi":"https://doi.org/10.3103/s0146411618050061","title":"A Recursive Bayesian Approach for the Link Prediction Problem","display_name":"A Recursive Bayesian Approach for the Link Prediction Problem","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2902391757","doi":"https://doi.org/10.3103/s0146411618050061","mag":"2902391757"},"language":"en","primary_location":{"id":"doi:10.3103/s0146411618050061","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411618050061","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053701600","display_name":"Cheng Jiang","orcid":"https://orcid.org/0000-0002-6149-3043"},"institutions":[{"id":"https://openalex.org/I90259746","display_name":"Capital University of Economics and Business","ror":"https://ror.org/01r5sf951","country_code":"CN","type":"education","lineage":["https://openalex.org/I90259746"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cheng Jiang","raw_affiliation_strings":["Information School, Capital University of Economics and Business, 100070, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Information School, Capital University of Economics and Business, 100070, Beijing, China","institution_ids":["https://openalex.org/I90259746"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103253497","display_name":"Jie Sui","orcid":"https://orcid.org/0000-0003-0100-8197"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Sui","raw_affiliation_strings":["School of Engineering Science, University of Chinese Academy of Sciences, 100049, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Engineering Science, University of Chinese Academy of Sciences, 100049, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005656538","display_name":"Hua Yu","orcid":"https://orcid.org/0000-0002-0231-2978"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Yu","raw_affiliation_strings":["School of Engineering Science, University of Chinese Academy of Sciences, 100049, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Engineering Science, University of Chinese Academy of Sciences, 100049, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053701600"],"corresponding_institution_ids":["https://openalex.org/I90259746"],"apc_list":null,"apc_paid":null,"fwci":0.1508,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49693154,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"52","issue":"5","first_page":"412","last_page":"420"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8883033394813538},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.723299503326416},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5640944838523865},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5258439183235168},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5209744572639465},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4856511354446411},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4514622986316681},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.4143607020378113},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37125706672668457},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3255879878997803}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8883033394813538},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.723299503326416},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5640944838523865},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5258439183235168},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5209744572639465},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4856511354446411},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4514622986316681},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.4143607020378113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37125706672668457},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3255879878997803},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3103/s0146411618050061","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411618050061","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1556758605","https://openalex.org/W1979104937","https://openalex.org/W2008620264","https://openalex.org/W2019911907","https://openalex.org/W2026417691","https://openalex.org/W2032553509","https://openalex.org/W2041414850","https://openalex.org/W2053595253","https://openalex.org/W2060594535","https://openalex.org/W2070105414","https://openalex.org/W2077640440","https://openalex.org/W2079259040","https://openalex.org/W2101108259","https://openalex.org/W2107569009","https://openalex.org/W2119247897","https://openalex.org/W2141117572","https://openalex.org/W2146143400","https://openalex.org/W2149310258","https://openalex.org/W2154454189","https://openalex.org/W2182544532","https://openalex.org/W4235129389"],"related_works":["https://openalex.org/W1518185400","https://openalex.org/W3200586296","https://openalex.org/W4230332972","https://openalex.org/W1998033311","https://openalex.org/W4247322236","https://openalex.org/W4231165741","https://openalex.org/W233457313","https://openalex.org/W4295104149","https://openalex.org/W1762272577","https://openalex.org/W4206960768"],"abstract_inverted_index":{"Recently,":[0],"link":[1,10,36],"prediction":[2,31,37],"techniques":[3],"have":[4,92],"been":[5,116],"increasingly":[6],"adopted":[7],"to":[8,19,33,107],"discover":[9],"patterns":[11],"in":[12,100],"various":[13],"domains.":[14],"On":[15],"challenging":[16],"problem":[17],"is":[18,41],"improve":[20],"the":[21,35,51,54,58,61,65,69,73,95,108],"performance":[22],"continually.":[23],"In":[24],"this":[25],"paper,":[26],"we":[27,49],"propose":[28],"a":[29],"recursive":[30],"mechanism":[32],"addresses":[34],"problem.":[38],"A":[39],"posterior":[40,59],"calculated":[42],"based":[43],"on":[44],"observed":[45],"data,":[46],"and":[47,56,78,83,122],"then":[48],"estimate":[50],"state":[52],"of":[53,71,102],"graph":[55],"use":[57],"as":[60,105],"prior":[62],"distribution":[63],"for":[64,126],"next":[66],"stage.":[67],"With":[68],"increasing":[70],"iterations,":[72],"proposed":[74,96],"approach":[75,113],"incorporates":[76],"more":[77,79],"topological":[80],"structure":[81],"information":[82],"node":[84],"attributes":[85],"data.":[86],"Experimental":[87],"results":[88],"with":[89],"real-world":[90],"networks":[91],"shown":[93],"that":[94],"solution":[97],"performs":[98],"better":[99],"terms":[101],"well-known":[103],"metrics":[104],"compared":[106],"existing":[109],"approaches.":[110],"This":[111],"novel":[112],"has":[114],"already":[115],"integrated":[117],"into":[118],"an":[119],"expert":[120],"system":[121],"provides":[123],"auxiliary":[124],"support":[125],"decision-makers.":[127]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
