{"id":"https://openalex.org/W2164064742","doi":"https://doi.org/10.1109/tnnls.2012.2215337","title":"Latent Feature Kernels for Link Prediction on Sparse Graphs","display_name":"Latent Feature Kernels for Link Prediction on Sparse Graphs","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W2164064742","doi":"https://doi.org/10.1109/tnnls.2012.2215337","mag":"2164064742","pmid":"https://pubmed.ncbi.nlm.nih.gov/24808073"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2012.2215337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2012.2215337","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5061062178","display_name":"Canh Hao Nguyen","orcid":"https://orcid.org/0000-0002-0274-5693"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Canh Hao Nguyen","raw_affiliation_strings":["Bioinformatics Center, Institute of Chemical ReResearch, Kyoto University, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Bioinformatics Center, Institute of Chemical ReResearch, Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059001924","display_name":"Hiroshi Mamitsuka","orcid":"https://orcid.org/0000-0002-6607-5617"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H. Mamitsuka","raw_affiliation_strings":["Bioinformatics Center, Institute of Chemical ReResearch, Kyoto University, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Bioinformatics Center, Institute of Chemical ReResearch, Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061062178"],"corresponding_institution_ids":["https://openalex.org/I22299242"],"apc_list":null,"apc_paid":null,"fwci":0.788,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.71620373,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"23","issue":"11","first_page":"1793","last_page":"1804"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9958000183105469,"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"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9940999746322632,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7620410919189453},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6275527477264404},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5567688345909119},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5279977321624756},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4966302514076233},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4825960397720337},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.47954389452934265},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4726623296737671},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3842318654060364},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.38383638858795166},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14953535795211792}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7620410919189453},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6275527477264404},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5567688345909119},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5279977321624756},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4966302514076233},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4825960397720337},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.47954389452934265},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4726623296737671},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3842318654060364},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38383638858795166},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14953535795211792},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011237","descriptor_name":"Predictive Value of Tests","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011237","descriptor_name":"Predictive Value of Tests","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011237","descriptor_name":"Predictive Value of Tests","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2012.2215337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2012.2215337","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:24808073","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24808073","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W81214986","https://openalex.org/W188608978","https://openalex.org/W1511160855","https://openalex.org/W1515020792","https://openalex.org/W1548802052","https://openalex.org/W1556758605","https://openalex.org/W1585529040","https://openalex.org/W1774304772","https://openalex.org/W1860880244","https://openalex.org/W1965904866","https://openalex.org/W1980334039","https://openalex.org/W2037933327","https://openalex.org/W2043545458","https://openalex.org/W2054331129","https://openalex.org/W2087347434","https://openalex.org/W2097186405","https://openalex.org/W2097266862","https://openalex.org/W2098472208","https://openalex.org/W2099862356","https://openalex.org/W2103574271","https://openalex.org/W2107107106","https://openalex.org/W2108153239","https://openalex.org/W2111565546","https://openalex.org/W2111811203","https://openalex.org/W2115062943","https://openalex.org/W2116504907","https://openalex.org/W2122090912","https://openalex.org/W2127345773","https://openalex.org/W2130687290","https://openalex.org/W2142845314","https://openalex.org/W2145545054","https://openalex.org/W2158535911","https://openalex.org/W2159944419","https://openalex.org/W2161902954","https://openalex.org/W2161984370","https://openalex.org/W2429914308","https://openalex.org/W2595697910","https://openalex.org/W2597289420","https://openalex.org/W2963587356","https://openalex.org/W2990138404","https://openalex.org/W2999905431","https://openalex.org/W4205778870","https://openalex.org/W4232932184","https://openalex.org/W6630631696","https://openalex.org/W6638285678","https://openalex.org/W6674413621","https://openalex.org/W6675925752","https://openalex.org/W6676274861"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W4235240664","https://openalex.org/W2965083567","https://openalex.org/W1838576100","https://openalex.org/W2095886385","https://openalex.org/W2889616422","https://openalex.org/W2089704382","https://openalex.org/W1983399550","https://openalex.org/W97075385","https://openalex.org/W2357523926"],"abstract_inverted_index":{"Predicting":[0],"new":[1],"links":[2],"in":[3,11,123],"a":[4,7,31,60,88,103],"network":[5,54,63],"is":[6,74,110],"problem":[8,70,93,101],"of":[9,16,33,149,185,196],"interest":[10],"many":[12],"application":[13],"domains.":[14],"Most":[15],"the":[17,23,75,80,98,124,127,136,147,150,170,194],"prediction":[18,58,100],"methods":[19,138],"utilize":[20],"information":[21],"on":[22,175],"network's":[24],"entities,":[25],"such":[26],"as":[27],"nodes,":[28],"to":[29,78,90,112,118,130,135,169,182,192],"build":[30],"model":[32],"links.":[34],"Network":[35],"structures":[36,55],"are":[37,166],"usually":[38],"not":[39,111],"used":[40],"except":[41],"for":[42,56,83,139],"networks":[43,191],"with":[44,59,65,71],"similarity":[45],"or":[46],"relatedness":[47],"semantics.":[48],"In":[49,133],"this":[50,92],"paper,":[51],"we":[52,160],"use":[53],"link":[57,99],"more":[61],"general":[62],"type":[64],"latent":[66,114,140,176],"feature":[67,141],"models.":[68],"The":[69,107],"these":[72,120],"models":[73,81],"computational":[76],"cost":[77],"train":[79],"directly":[82,174],"large":[84,131],"data.":[85],"We":[86,178],"propose":[87],"method":[89,128,144,181],"solve":[91],"using":[94],"kernels":[95,165,172],"and":[96,155,188],"cast":[97],"into":[102],"binary":[104],"classification":[105],"problem.":[106],"key":[108],"idea":[109],"infer":[113],"features":[115,121],"explicitly,":[116],"but":[117],"represent":[119],"implicitly":[122],"kernels,":[125],"making":[126],"scalable":[129],"networks.":[132],"contrast":[134],"other":[137],"models,":[142],"our":[143,163,180,197],"inherits":[145],"all":[146],"advantages":[148],"kernel":[151],"framework:":[152],"optimality,":[153],"efficiency,":[154],"nonlinearity.":[156],"On":[157],"sparse":[158],"graphs,":[159],"show":[161,193],"that":[162],"proposed":[164],"close":[167],"enough":[168],"ideal":[171],"defined":[173],"features.":[177],"apply":[179],"real":[183],"data":[184],"protein-protein":[186],"interaction":[187],"gene":[189],"regulatory":[190],"merits":[195],"method.":[198]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
