{"id":"https://openalex.org/W4413077060","doi":"https://doi.org/10.1007/s44443-025-00130-2","title":"View-label driven cross-space structure alignment for incomplete multi-view partial multi-label classification","display_name":"View-label driven cross-space structure alignment for incomplete multi-view partial multi-label classification","publication_year":2025,"publication_date":"2025-07-17","ids":{"openalex":"https://openalex.org/W4413077060","doi":"https://doi.org/10.1007/s44443-025-00130-2"},"language":"en","primary_location":{"id":"doi:10.1007/s44443-025-00130-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44443-025-00130-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44443-025-00130-2.pdf","source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University Computer and Information Sciences","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s44443-025-00130-2.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Shenrun Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shenrun Ding","raw_affiliation_strings":["College of Big Data and Information Engineering, Guizhou University, Guiyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Big Data and Information Engineering, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100668321","display_name":"Jiarui Chen","orcid":"https://orcid.org/0000-0003-2005-288X"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiarui Chen","raw_affiliation_strings":["College of Big Data and Information Engineering, Guizhou University, Guiyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Big Data and Information Engineering, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Tongwei Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongwei Gao","raw_affiliation_strings":["College of Big Data and Information Engineering, Guizhou University, Guiyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Big Data and Information Engineering, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046725905","display_name":"Yinghao Ye","orcid":"https://orcid.org/0000-0002-0747-8256"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinghao Ye","raw_affiliation_strings":["College of Big Data and Information Engineering, Guizhou University, Guiyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Big Data and Information Engineering, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001365689","display_name":"Xiaohuan Lu","orcid":"https://orcid.org/0009-0006-7634-7272"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohuan Lu","raw_affiliation_strings":["College of Big Data and Information Engineering, Guizhou University, Guiyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Big Data and Information Engineering, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I178232147"],"apc_list":{"value":1350,"currency":"USD","value_usd":1350},"apc_paid":{"value":1350,"currency":"USD","value_usd":1350},"fwci":2.0776,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.89464287,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"37","issue":"6","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9998999834060669,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/multi-label-classification","display_name":"Multi-label classification","score":0.6143436431884766},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5514248609542847},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5480851531028748},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5157520771026611},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45114585757255554}],"concepts":[{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.6143436431884766},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5514248609542847},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5480851531028748},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5157520771026611},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45114585757255554},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44443-025-00130-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44443-025-00130-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44443-025-00130-2.pdf","source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University Computer and Information Sciences","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a9f56c5a16bc45259723e75cef640a17","is_oa":true,"landing_page_url":"https://doaj.org/article/a9f56c5a16bc45259723e75cef640a17","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of King Saud University: Computer and Information Sciences, Vol 37, Iss 6, Pp 1-20 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44443-025-00130-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44443-025-00130-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44443-025-00130-2.pdf","source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University Computer and Information Sciences","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.49000000953674316}],"awards":[{"id":"https://openalex.org/G166790388","display_name":null,"funder_award_id":"No. 62165003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1998160118","display_name":null,"funder_award_id":"62165003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321927","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4413077060.pdf","grobid_xml":"https://content.openalex.org/works/W4413077060.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W1666447063","https://openalex.org/W2006147162","https://openalex.org/W2025335430","https://openalex.org/W2031489346","https://openalex.org/W2114315281","https://openalex.org/W2141282920","https://openalex.org/W2155803963","https://openalex.org/W2483850719","https://openalex.org/W2531409750","https://openalex.org/W2605997098","https://openalex.org/W2733128608","https://openalex.org/W2787932447","https://openalex.org/W2808239701","https://openalex.org/W2953820383","https://openalex.org/W2966027244","https://openalex.org/W3007788930","https://openalex.org/W3047358409","https://openalex.org/W3088016422","https://openalex.org/W3093207983","https://openalex.org/W3126817395","https://openalex.org/W3165208855","https://openalex.org/W3169047433","https://openalex.org/W3173972271","https://openalex.org/W3199950635","https://openalex.org/W3201879291","https://openalex.org/W3208823574","https://openalex.org/W3211983881","https://openalex.org/W3217784147","https://openalex.org/W4212873158","https://openalex.org/W4283717982","https://openalex.org/W4287115465","https://openalex.org/W4288064731","https://openalex.org/W4312290604","https://openalex.org/W4313154187","https://openalex.org/W4327668982","https://openalex.org/W4361801401","https://openalex.org/W4381253801","https://openalex.org/W4382318546","https://openalex.org/W4382467872","https://openalex.org/W4386071520","https://openalex.org/W4386917288","https://openalex.org/W4393159359","https://openalex.org/W4393160068","https://openalex.org/W4396243790","https://openalex.org/W4396785954","https://openalex.org/W4402700533","https://openalex.org/W4402727675","https://openalex.org/W4403791682","https://openalex.org/W4403914938","https://openalex.org/W4407948757"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Despite":[0],"significant":[1],"advancements":[2],"in":[3,19,44,157,207],"multi-view":[4,33],"multi-label":[5],"learning":[6,61],"driven":[7],"by":[8],"its":[9],"broad":[10],"applicability,":[11],"real-world":[12],"scenarios":[13],"frequently":[14],"suffer":[15],"from":[16,72],"dual":[17],"incompleteness":[18,31],"both":[20,122],"view":[21,75,176],"and":[22,97,124,134,181],"label":[23],"spaces":[24,127],"due":[25],"to":[26,42,128,153,178],"data":[27,141],"acquisition":[28],"uncertainties.":[29],"The":[30],"of":[32,38,93,106,209],"features":[34,89],"degrades":[35],"the":[36,54,139,199],"comprehensiveness":[37],"sample":[39],"representations,":[40],"leading":[41],"failure":[43],"capturing":[45],"semantically":[46],"discriminative":[47,87],"patterns":[48],"essential":[49],"for":[50,103],"classification.":[51],"To":[52],"address":[53],"aforementioned":[55],"challenges,":[56],"we":[57,78,110,148,161],"propose":[58,111,149],"a":[59,80],"novel":[60],"framework":[62,202],"termed":[63],"View-Label":[64],"Driven":[65],"Cross-Space":[66],"Structure":[67],"Alignment":[68],"Network":[69],"(VLCSA).":[70],"Departing":[71],"existing":[73],"low-quality":[74],"completion":[76],"approaches,":[77],"devise":[79],"view-label":[81,118],"hybrid-driven":[82,119],"autoencoder":[83],"(VLAE)":[84],"that":[85,168,198],"extracts":[86],"view-specific":[88],"through":[90],"joint":[91],"optimization":[92],"cross-view":[94,171],"semantic":[95,136],"consistency":[96,131],"label-guided":[98],"instance-level":[99],"embeddings,":[100],"which":[101,116],"allows":[102],"accurate":[104],"reconstruction":[105,142],"missing":[107],"views.":[108],"Furthermore,":[109],"cross-space":[112],"structure":[113],"alignment":[114,189],"(CSA),":[115],"imposes":[117],"losses":[120],"on":[121,192],"original":[123],"complete":[125],"feature":[126,183],"enforce":[129],"structural":[130],"between":[132],"partial":[133],"holistic":[135],"topologies.":[137],"Recognizing":[138],"suboptimal":[140],"quality":[143],"during":[144],"initial":[145],"training":[146],"phases,":[147],"phase-aware":[150],"excitation":[151],"(PAE)":[152],"mitigate":[154],"error":[155],"accumulation":[156],"early-stage":[158],"learning.":[159],"Additionally,":[160],"introduce":[162],"star-shaped":[163],"interactive":[164],"sharing":[165],"module":[166],"(SIS)":[167],"facilitates":[169],"efficient":[170],"information":[172],"exchange":[173],"while":[174],"leveraging":[175],"complementarity":[177],"ensure":[179],"consistent":[180],"robust":[182],"aggregation,":[184],"circumventing":[185],"conflicts":[186],"with":[187],"view-consistency":[188],"objectives.":[190],"d":[191],"five":[193],"widely-adopted":[194],"benchmark":[195],"datasets":[196],"indicate":[197],"proposed":[200],"VLCSA":[201],"outperforms":[203],"numerous":[204],"established":[205],"baselines":[206],"terms":[208],"comprehensive":[210],"evaluation":[211],"metrics.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
