{"id":"https://openalex.org/W3021451168","doi":"https://doi.org/10.1109/access.2020.2992269","title":"Network Embedding Using Deep Robust Nonnegative Matrix Factorization","display_name":"Network Embedding Using Deep Robust Nonnegative Matrix Factorization","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3021451168","doi":"https://doi.org/10.1109/access.2020.2992269","mag":"3021451168"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2992269","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2992269","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09086036.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09086036.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026139698","display_name":"Chaobo He","orcid":"https://orcid.org/0000-0002-6651-1175"},"institutions":[{"id":"https://openalex.org/I94357780","display_name":"Zhongkai University of Agriculture and Engineering","ror":"https://ror.org/000b7ms85","country_code":"CN","type":"education","lineage":["https://openalex.org/I94357780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaobo He","raw_affiliation_strings":["School of Information Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6651-1175","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China","institution_ids":["https://openalex.org/I94357780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100368943","display_name":"Hai Liu","orcid":"https://orcid.org/0000-0002-8661-6230"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai Liu","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120811349","display_name":"Yong Tang","orcid":"https://orcid.org/0000-0002-9812-0742"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Tang","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081342676","display_name":"Xiang Fei","orcid":"https://orcid.org/0000-0002-0877-7047"},"institutions":[{"id":"https://openalex.org/I73417466","display_name":"Coventry University","ror":"https://ror.org/01tgmhj36","country_code":"GB","type":"education","lineage":["https://openalex.org/I73417466"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xiang Fei","raw_affiliation_strings":["Department of Computing, Coventry University, Coventry, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, Coventry University, Coventry, U.K","institution_ids":["https://openalex.org/I73417466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013479932","display_name":"Hanchao Li","orcid":"https://orcid.org/0000-0003-2283-5407"},"institutions":[{"id":"https://openalex.org/I73417466","display_name":"Coventry University","ror":"https://ror.org/01tgmhj36","country_code":"GB","type":"education","lineage":["https://openalex.org/I73417466"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hanchao Li","raw_affiliation_strings":["Department of Computing, Coventry University, Coventry, U.K"],"raw_orcid":"https://orcid.org/0000-0003-2283-5407","affiliations":[{"raw_affiliation_string":"Department of Computing, Coventry University, Coventry, U.K","institution_ids":["https://openalex.org/I73417466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100407302","display_name":"Qiong Zhang","orcid":"https://orcid.org/0000-0003-3617-3221"},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Jiangxi University of Water Resources and Electric Power","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiong Zhang","raw_affiliation_strings":["College of Computer Information and Engineering, Nanchang Institute of Technology, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Information and Engineering, Nanchang Institute of Technology, Nanchang, China","institution_ids":["https://openalex.org/I141103825"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.9383,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.80698638,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"85441","last_page":"85453"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9997000098228455,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9997000098228455,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9975000023841858,"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/T10057","display_name":"Face and Expression Recognition","score":0.9872000217437744,"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/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.7135801315307617},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6188483834266663},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5610088109970093},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5448073148727417},{"id":"https://openalex.org/keywords/nonnegative-matrix","display_name":"Nonnegative matrix","score":0.4948970675468445},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.46681520342826843},{"id":"https://openalex.org/keywords/matrix-algebra","display_name":"Matrix algebra","score":0.4138683080673218},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3948185443878174},{"id":"https://openalex.org/keywords/symmetric-matrix","display_name":"Symmetric matrix","score":0.3062528371810913},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.277025431394577},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09249275922775269}],"concepts":[{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.7135801315307617},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6188483834266663},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5610088109970093},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5448073148727417},{"id":"https://openalex.org/C139018669","wikidata":"https://www.wikidata.org/wiki/Q6961560","display_name":"Nonnegative matrix","level":4,"score":0.4948970675468445},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.46681520342826843},{"id":"https://openalex.org/C2988995629","wikidata":"https://www.wikidata.org/wiki/Q2915729","display_name":"Matrix algebra","level":3,"score":0.4138683080673218},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3948185443878174},{"id":"https://openalex.org/C54848796","wikidata":"https://www.wikidata.org/wiki/Q339011","display_name":"Symmetric matrix","level":3,"score":0.3062528371810913},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.277025431394577},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09249275922775269},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/access.2020.2992269","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2992269","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09086036.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:81fdffb828aa41b6b377609262ca5096","is_oa":true,"landing_page_url":"https://doaj.org/article/81fdffb828aa41b6b377609262ca5096","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":"IEEE Access, Vol 8, Pp 85441-85453 (2020)","raw_type":"article"},{"id":"pmh:oai:pure.atira.dk:openaire/27fb9b27-f3ee-48ba-b1d9-0d4115f22447","is_oa":true,"landing_page_url":"https://pureportal.coventry.ac.uk/en/publications/27fb9b27-f3ee-48ba-b1d9-0d4115f22447","pdf_url":null,"source":{"id":"https://openalex.org/S4306402411","display_name":"Pure (Coventry University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I73417466","host_organization_name":"Coventry University","host_organization_lineage":["https://openalex.org/I73417466"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"He, C, Liu, H, Tang, Y, Fei, X, Li, H & Zhang, Q 2020, 'Network Embedding Using Deep Robust Nonnegative Matrix Factorization', IEEE Access, vol. 8, pp. 85441-85453. https://doi.org/10.1109/ACCESS.2020.2992269","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:pure.atira.dk:publications/27fb9b27-f3ee-48ba-b1d9-0d4115f22447","is_oa":true,"landing_page_url":"https://pureportal.coventry.ac.uk/en/publications/network-embedding-using-deep-robust-nonnegative-matrix-factorization(27fb9b27-f3ee-48ba-b1d9-0d4115f22447).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306402411","display_name":"Pure (Coventry University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I73417466","host_organization_name":"Coventry University","host_organization_lineage":["https://openalex.org/I73417466"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"doi:10.1109/access.2020.2992269","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2992269","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09086036.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1553212074","display_name":null,"funder_award_id":"19YJCZH049","funder_id":"https://openalex.org/F4320321106","funder_display_name":"Ministry of Education of the People's Republic of China"},{"id":"https://openalex.org/G5178219846","display_name":"\u793e\u4ea4\u7f51\u7edc\u7528\u6237\u65f6\u6001\u5c5e\u6027\u53ca\u65f6\u6001\u5173\u7cfb\u6a21\u578b\u7814\u7a76","funder_award_id":"61772211","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6117154724","display_name":null,"funder_award_id":"201905010006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G752182916","display_name":null,"funder_award_id":"2019A1515011292","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G754746104","display_name":null,"funder_award_id":"2019A1515011292","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321106","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3021451168.pdf","grobid_xml":"https://content.openalex.org/works/W3021451168.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1533841329","https://openalex.org/W1888005072","https://openalex.org/W1902027874","https://openalex.org/W1979104937","https://openalex.org/W2016412486","https://openalex.org/W2090891622","https://openalex.org/W2104819583","https://openalex.org/W2108433027","https://openalex.org/W2135029798","https://openalex.org/W2142535891","https://openalex.org/W2154851992","https://openalex.org/W2168103112","https://openalex.org/W2168627253","https://openalex.org/W2187089797","https://openalex.org/W2242161203","https://openalex.org/W2296319761","https://openalex.org/W2387462954","https://openalex.org/W2393319904","https://openalex.org/W2415243320","https://openalex.org/W2525068948","https://openalex.org/W2579372251","https://openalex.org/W2586573945","https://openalex.org/W2604942799","https://openalex.org/W2612872092","https://openalex.org/W2620611182","https://openalex.org/W2739747431","https://openalex.org/W2762237834","https://openalex.org/W2765386553","https://openalex.org/W2897979119","https://openalex.org/W2913855763","https://openalex.org/W2916059024","https://openalex.org/W2942962046","https://openalex.org/W2951271819","https://openalex.org/W2956490308","https://openalex.org/W2962756421","https://openalex.org/W2963224980","https://openalex.org/W2963512530","https://openalex.org/W2964144157","https://openalex.org/W3103995645","https://openalex.org/W3104097132","https://openalex.org/W3126033509","https://openalex.org/W3143596294","https://openalex.org/W4250589301","https://openalex.org/W4291474301","https://openalex.org/W6680012447","https://openalex.org/W6690230747","https://openalex.org/W6716303938","https://openalex.org/W6732461846","https://openalex.org/W6736262870"],"related_works":["https://openalex.org/W2127243424","https://openalex.org/W4390394189","https://openalex.org/W2108919995","https://openalex.org/W2069570686","https://openalex.org/W2022978200","https://openalex.org/W3099441337","https://openalex.org/W2731733684","https://openalex.org/W2083358384","https://openalex.org/W2768089427","https://openalex.org/W1989034480"],"abstract_inverted_index":{"As":[0],"an":[1],"effective":[2,206],"technique":[3],"to":[4,28,53,86,149,166,185],"learn":[5,54],"low-dimensional":[6],"node":[7],"features":[8,58],"in":[9,21,60],"complicated":[10,56],"network":[11,13,25,41,98,127,157,219],"environment,":[12],"embedding":[14,42,99,158],"has":[15,208],"become":[16],"a":[17,96,182],"promising":[18],"research":[19],"direction":[20],"the":[22,29,119,126,129,134,138,151,155,168,171,187,212],"field":[23],"of":[24,31,49,64,67,121,125,173,189,196],"analysis.":[26],"Due":[27],"virtues":[30],"better":[32,209],"interpretability":[33],"and":[34,79,170,207],"flexibility,":[35],"matrix":[36,106,132,214],"factorization":[37,69,78,215],"based":[38,216],"methods":[39,217],"for":[40,77,133,154,218],"have":[43],"received":[44],"increasing":[45],"attentions.":[46],"However,":[47],"most":[48],"them":[50],"are":[51,164,176],"inadequate":[52],"more":[55],"hierarchical":[57],"hidden":[59],"complex":[61,197],"networks":[62,198],"because":[63],"their":[65,72,80],"mechanisms":[66],"single-layer":[68],"structure.":[70,115],"Besides,":[71],"original":[73,130],"feature":[74,131],"matrices":[75,124],"used":[76],"robustness":[81,139],"against":[82,140],"noises":[83],"also":[84],"need":[85],"be":[87],"further":[88],"improved.":[89],"To":[90,136],"solve":[91],"these":[92,174],"problems,":[93],"we":[94,142,180],"propose":[95],"novel":[97],"method":[100,203],"named":[101],"DRNMF":[102,117,156,204],"(deep":[103],"robust":[104],"nonnegative":[105],"factorization),":[107],"which":[108],"is":[109,205],"formed":[110],"by":[111],"multi-layer":[112],"NMF":[113],"learning":[114],"Meanwhile,":[116],"employs":[118],"combination":[120],"high-order":[122],"proximity":[123],"as":[128],"factorization.":[135],"improve":[137,186],"noises,":[141],"use":[143],"\u2113":[144],"<sub":[145],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[146],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2,1</sub>":[147],"norm":[148],"devise":[150],"objective":[152],"function":[153],"model.":[159],"Effective":[160],"iterative":[161],"update":[162],"rules":[163,175],"derived":[165],"resolve":[167],"model,":[169],"convergence":[172],"strictly":[177],"proved.":[178],"Moreover,":[179],"introduce":[181],"pre-training":[183],"strategy":[184],"efficiency":[188],"convergence.":[190],"Extensive":[191],"experiments":[192],"on":[193],"several":[194],"benchmarks":[195],"demonstrate":[199],"that":[200],"our":[201],"proposed":[202],"performance":[210],"than":[211],"state-of-the-art":[213],"embedding.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
