{"id":"https://openalex.org/W4360770799","doi":"https://doi.org/10.1109/tmm.2023.3260649","title":"Interpretable Graph Convolutional Network for Multi-View Semi-Supervised Learning","display_name":"Interpretable Graph Convolutional Network for Multi-View Semi-Supervised Learning","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4360770799","doi":"https://doi.org/10.1109/tmm.2023.3260649"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2023.3260649","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3260649","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5023510892","display_name":"Zhihao Wu","orcid":"https://orcid.org/0000-0001-5835-9903"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhihao Wu","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University, Fuzhou, China","Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5835-9903","affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055311454","display_name":"Xincan Lin","orcid":"https://orcid.org/0000-0002-6567-6250"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xincan Lin","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University, Fuzhou, China","Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6567-6250","affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049005242","display_name":"Zhenghong Lin","orcid":"https://orcid.org/0000-0002-7495-3846"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenghong Lin","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University, Fuzhou, China","Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7495-3846","affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084849129","display_name":"Zhaoliang Chen","orcid":"https://orcid.org/0000-0002-7832-908X"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoliang Chen","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University, Fuzhou, China","Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7832-908X","affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050721041","display_name":"Yang Bai","orcid":"https://orcid.org/0000-0002-3278-4028"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Bai","raw_affiliation_strings":["School of Cyberspace Security, Chengdu University of Information Technology, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-2475-4232","affiliations":[{"raw_affiliation_string":"School of Cyberspace Security, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100604225","display_name":"Shiping Wang","orcid":"https://orcid.org/0000-0001-5195-9682"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiping Wang","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University, Fuzhou, China","Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5195-9682","affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5023510892"],"corresponding_institution_ids":["https://openalex.org/I80947539"],"apc_list":null,"apc_paid":null,"fwci":16.3592,"has_fulltext":false,"cited_by_count":97,"citation_normalized_percentile":{"value":0.99412276,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"25","issue":null,"first_page":"8593","last_page":"8606"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9941999912261963,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9941999912261963,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9872000217437744,"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/interpretability","display_name":"Interpretability","score":0.7637622952461243},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7430152893066406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6359527111053467},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.609539806842804},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5987450480461121},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5399181842803955},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5181904435157776},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.509035050868988},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5038921236991882},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.4428802728652954},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33758920431137085}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7637622952461243},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7430152893066406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6359527111053467},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.609539806842804},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5987450480461121},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5399181842803955},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5181904435157776},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.509035050868988},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5038921236991882},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.4428802728652954},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33758920431137085},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2023.3260649","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3260649","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2979006455","display_name":null,"funder_award_id":"62276065","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3794798619","display_name":null,"funder_award_id":"U21A20472","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W2604723872","https://openalex.org/W2672266311","https://openalex.org/W2758611985","https://openalex.org/W2759764766","https://openalex.org/W2808122494","https://openalex.org/W2809418595","https://openalex.org/W2894142921","https://openalex.org/W2900928715","https://openalex.org/W2921532413","https://openalex.org/W2945827377","https://openalex.org/W2948905445","https://openalex.org/W2961553857","https://openalex.org/W2964051675","https://openalex.org/W2983762999","https://openalex.org/W2996771119","https://openalex.org/W2998269939","https://openalex.org/W2998662521","https://openalex.org/W3006634967","https://openalex.org/W3008561560","https://openalex.org/W3014545861","https://openalex.org/W3031719679","https://openalex.org/W3034903580","https://openalex.org/W3035486888","https://openalex.org/W3039075121","https://openalex.org/W3044063956","https://openalex.org/W3047791393","https://openalex.org/W3100993589","https://openalex.org/W3101553402","https://openalex.org/W3102272367","https://openalex.org/W3115567406","https://openalex.org/W3128443161","https://openalex.org/W3140079845","https://openalex.org/W3152560880","https://openalex.org/W3160988939","https://openalex.org/W3163957165","https://openalex.org/W3175530672","https://openalex.org/W3195106575","https://openalex.org/W3205744512","https://openalex.org/W3206460183","https://openalex.org/W3210186461","https://openalex.org/W4226022916","https://openalex.org/W4233747127","https://openalex.org/W4282926996","https://openalex.org/W4283798426","https://openalex.org/W4285117216","https://openalex.org/W4382239624","https://openalex.org/W6726873649","https://openalex.org/W6731811539","https://openalex.org/W6760001035"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"As":[0,44],"real-world":[1],"data":[2],"become":[3],"increasingly":[4],"heterogeneous,":[5],"multi-view":[6,79,135,163,203],"semi-supervised":[7,204],"learning":[8,80,136,205],"has":[9,62,68],"garnered":[10],"widespread":[11],"attention.":[12],"Although":[13],"existing":[14],"studies":[15],"have":[16],"made":[17],"efforts":[18],"towards":[19],"this":[20,91,94],"and":[21,31,61,66,86,129,145,162],"achieved":[22,63],"decent":[23],"performance,":[24,65],"they":[25],"are":[26],"restricted":[27],"to":[28,33,41,57,132,178,201],"shallow":[29],"models":[30],"how":[32],"mine":[34],"deeper":[35],"information":[36],"from":[37,143],"multiple":[38],"views":[39],"remains":[40],"be":[42],"investigated.":[43],"a":[45,98,134,151,157],"recently":[46],"emerged":[47],"neural":[48],"network,":[49],"Graph":[50,103],"Convolutional":[51,104],"Network":[52,105],"(GCN)":[53],"exploits":[54],"graph":[55],"structure":[56],"propagate":[58],"label":[59],"signals":[60],"encouraging":[64],"it":[67],"been":[69],"widely":[70],"employed":[71],"in":[72,93,191],"various":[73],"fields.":[74],"Nonetheless,":[75],"research":[76],"on":[77],"solving":[78],"problems":[81],"via":[82],"GCN":[83,161],"is":[84,117,199],"limited":[85],"lacks":[87],"interpretability.":[88],"To":[89],"address":[90],"gap,":[92],"paper":[95],"we":[96,155,172],"propose":[97,173],"framework":[99,198],"termed":[100],"Interpretable":[101],"Multi-view":[102],"(IMvGCN":[106],"<xref":[107],"ref-type=\"fn\"":[108],"rid=\"fn1\"":[109],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[110,114],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><sup>1</sup></xref>":[111],"<fn":[112],"id=\"fn1\"":[113],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><label><sup>1</sup></label>":[115],"Code":[116],"available":[118],"at":[119],"<uri>https://github.com/ZhihaoWu99/IMvGCN</uri>.":[120],"</fn>":[121],").":[122],"We":[123],"first":[124],"combine":[125],"the":[126,140,180,185,196,202,210],"reconstruction":[127],"error":[128],"Laplacian":[130],"embedding":[131],"formulate":[133],"problem":[137,187],"that":[138],"explores":[139],"original":[141],"space":[142],"feature":[144],"topology":[146],"perspectives.":[147],"In":[148,194],"light":[149],"of":[150,153,188,212],"series":[152],"derivations,":[154],"establish":[156],"potential":[158],"connection":[159],"between":[160],"learning,":[164],"which":[165,183],"holds":[166],"significance":[167],"for":[168],"both":[169],"domains.":[170],"Furthermore,":[171],"an":[174],"orthogonal":[175,189],"normalization":[176],"method":[177,215],"guarantee":[179],"mathematical":[181],"connection,":[182],"solves":[184],"intractable":[186],"constraints":[190],"deep":[192],"learning.":[193],"addition,":[195],"proposed":[197,214],"applied":[200],"task.":[206],"Comprehensive":[207],"experiments":[208],"demonstrate":[209],"superiority":[211],"our":[213],"over":[216],"other":[217],"state-of-the-art":[218],"methods.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":40},{"year":2024,"cited_by_count":40},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}