{"id":"https://openalex.org/W2942087303","doi":"https://doi.org/10.1109/access.2019.2913449","title":"PartNRL: Partial Nodes Representation Learning in Large-Scale Network","display_name":"PartNRL: Partial Nodes Representation Learning in Large-Scale Network","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2942087303","doi":"https://doi.org/10.1109/access.2019.2913449","mag":"2942087303"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2913449","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2913449","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08700183.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":null,"license_id":null,"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/ielx7/6287639/8600701/08700183.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070776923","display_name":"Juan-Hui Li","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan-Hui Li","raw_affiliation_strings":["Key Laboratory of Machine Intelligence and Advanced Computing, School of Data and Computer Science, Ministry of Education, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Intelligence and Advanced Computing, School of Data and Computer Science, Ministry of Education, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082878554","display_name":"Ling Huang","orcid":"https://orcid.org/0000-0001-5089-4637"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Huang","raw_affiliation_strings":["Key Laboratory of Machine Intelligence and Advanced Computing, School of Data and Computer Science, Ministry of Education, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5089-4637","affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Intelligence and Advanced Computing, School of Data and Computer Science, Ministry of Education, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076335744","display_name":"Chang\u2010Dong Wang","orcid":"https://orcid.org/0000-0001-5972-559X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang-Dong Wang","raw_affiliation_strings":["Key Laboratory of Machine Intelligence and Advanced Computing, School of Data and Computer Science, Ministry of Education, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5972-559X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Intelligence and Advanced Computing, School of Data and Computer Science, Ministry of Education, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050270789","display_name":"Dong Huang","orcid":"https://orcid.org/0000-0003-3923-8828"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Huang","raw_affiliation_strings":["College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034685928","display_name":"Jianhuang Lai","orcid":"https://orcid.org/0000-0003-3883-2024"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian-Huang Lai","raw_affiliation_strings":["Key Laboratory of Machine Intelligence and Advanced Computing, School of Data and Computer Science, Ministry of Education, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3883-2024","affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Intelligence and Advanced Computing, School of Data and Computer Science, Ministry of Education, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0354561,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"56457","last_page":"56468"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","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/T11273","display_name":"Advanced Graph Neural Networks","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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9988999962806702,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9779000282287598,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.795371413230896},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7472978830337524},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.7007088661193848},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5660082101821899},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5628150701522827},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5218142867088318},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4954797029495239},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.47524023056030273},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.45599836111068726},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4554457664489746},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4258460998535156},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3605605363845825},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3512013554573059},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10825061798095703}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.795371413230896},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7472978830337524},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.7007088661193848},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5660082101821899},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5628150701522827},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5218142867088318},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4954797029495239},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.47524023056030273},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.45599836111068726},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4554457664489746},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4258460998535156},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3605605363845825},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3512013554573059},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10825061798095703},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2913449","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2913449","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08700183.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3f01855d4922457f94cde4040bf1587c","is_oa":true,"landing_page_url":"https://doaj.org/article/3f01855d4922457f94cde4040bf1587c","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 7, Pp 56457-56468 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2913449","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2913449","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08700183.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":null,"license_id":null,"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/G5409299611","display_name":null,"funder_award_id":"61876193","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7032972171","display_name":null,"funder_award_id":"2016A030306014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7220855818","display_name":null,"funder_award_id":"2016TQ03X542","funder_id":"https://openalex.org/F4320327806","funder_display_name":"Tip-top Scientific and Technical Innovative Youth Talents of Guangdong Special Support Program"},{"id":"https://openalex.org/G7751653729","display_name":null,"funder_award_id":"61602189","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8066071771","display_name":null,"funder_award_id":"2016TQ03X542","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/F4320327806","display_name":"Tip-top Scientific and Technical Innovative Youth Talents of Guangdong Special Support Program","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2942087303.pdf","grobid_xml":"https://content.openalex.org/works/W2942087303.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W1888005072","https://openalex.org/W1964419312","https://openalex.org/W1984689597","https://openalex.org/W2001141328","https://openalex.org/W2022704179","https://openalex.org/W2039688703","https://openalex.org/W2047205327","https://openalex.org/W2052261215","https://openalex.org/W2053186076","https://openalex.org/W2090891622","https://openalex.org/W2108119513","https://openalex.org/W2118585731","https://openalex.org/W2121020155","https://openalex.org/W2125031621","https://openalex.org/W2131571251","https://openalex.org/W2135029798","https://openalex.org/W2138243089","https://openalex.org/W2154851992","https://openalex.org/W2156718197","https://openalex.org/W2187089797","https://openalex.org/W2249925396","https://openalex.org/W2315775489","https://openalex.org/W2337540978","https://openalex.org/W2393319904","https://openalex.org/W2479500547","https://openalex.org/W2583803680","https://openalex.org/W2584303079","https://openalex.org/W2585247128","https://openalex.org/W2585980799","https://openalex.org/W2604942799","https://openalex.org/W2612759981","https://openalex.org/W2623187518","https://openalex.org/W2624012833","https://openalex.org/W2767278854","https://openalex.org/W2767460050","https://openalex.org/W2798918712","https://openalex.org/W2800091445","https://openalex.org/W2804558096","https://openalex.org/W2907458157","https://openalex.org/W2911232120","https://openalex.org/W2917620985","https://openalex.org/W2917731813","https://openalex.org/W2950723285","https://openalex.org/W2962756421","https://openalex.org/W2963758104","https://openalex.org/W2964184741","https://openalex.org/W2965142175","https://openalex.org/W3103254545","https://openalex.org/W3104097132","https://openalex.org/W4294170691","https://openalex.org/W4294558607","https://openalex.org/W4300601563","https://openalex.org/W6677656871","https://openalex.org/W6678885109","https://openalex.org/W6680012447","https://openalex.org/W6680402377","https://openalex.org/W6682691769","https://openalex.org/W6682755970","https://openalex.org/W6736262870","https://openalex.org/W6738964360","https://openalex.org/W6766553234"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2037549926","https://openalex.org/W2345479200","https://openalex.org/W2183306018","https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2849310602","https://openalex.org/W3006008237","https://openalex.org/W2892165056","https://openalex.org/W2098964748"],"abstract_inverted_index":{"Recently,":[0],"the":[1,14,20,26,30,65,78,85,118,122,128,150,159,165,170,175,185,190,195,224,228,232],"low-dimensional":[2],"embedding":[3,28,86,129,235],"of":[4,11,16,29,69,116,121,162,227],"nodes":[5,46,74,91,109,163],"has":[6],"received":[7],"a":[8,102,180],"large":[9],"amount":[10],"attention":[12],"in":[13,44,55,137],"field":[15],"network":[17,27,234],"analysis.":[18],"While":[19],"existing":[21],"methods":[22,94],"mostly":[23],"focus":[24],"on":[25,184,207],"entire":[31],"network,":[32,67],"there":[33,59],"are":[34,60,75,134],"also":[35],"some":[36,45,61],"situations,":[37],"where":[38],"people":[39],"may":[40],"only":[41],"be":[42],"interested":[43,123],"(i.e.,":[47],"partial":[48,108],"nodes)":[49],"rather":[50],"than":[51],"all":[52,73],"nodes,":[53],"especially":[54],"large-scale":[56,66],"networks.":[57],"Although":[58],"approaches":[62],"dealing":[63],"with":[64],"most":[68],"them":[70],"require":[71],"that":[72],"present":[76,101],"during":[77],"optimization":[79,191],"procedure.":[80],"The":[81,139,201,220],"necessity":[82],"to":[83,143,148,173],"generate":[84],"results":[87,130,222],"for":[88,155],"redundant":[89],"non-interested":[90],"makes":[92],"these":[93],"quite":[95],"inefficient.":[96],"In":[97],"this":[98],"paper,":[99],"we":[100,168],"novel":[103],"node":[104,124,176,210],"representation":[105,110],"framework":[106],"termed":[107],"learning":[111],"(PartNRL),":[112],"which":[113],"is":[114,142,199],"capable":[115],"preserving":[117],"local":[119,145,153],"similarity":[120,154],"pairs":[125],"and":[126,216],"generating":[127],"efficiently.":[131],"Two":[132],"phases":[133],"carefully":[135],"designed":[136],"PartNRL.":[138],"first":[140,166],"phase":[141,172],"use":[144],"random":[146],"walk":[147],"capture":[149],"t":[151],"-step":[152],"memory-efficiency.":[156],"By":[157],"modeling":[158],"inherent":[160],"properties":[161],"through":[164],"phase,":[167],"design":[169],"second":[171],"learn":[174],"representations":[177],"by":[178],"maximizing":[179],"likelihood":[181],"function":[182],"based":[183],"skip-gram":[186],"model.":[187],"To":[188],"make":[189],"procedure":[192],"more":[193],"efficient,":[194],"negative":[196],"sampling":[197],"strategy":[198],"applied.":[200],"extensive":[202],"experiments":[203],"have":[204],"been":[205],"conducted":[206],"three":[208],"tasks:":[209],"clustering":[211],"task,":[212,215],"single-labeled":[213],"classification":[214,218],"multi-labeled":[217],"task.":[219],"experimental":[221],"confirm":[223],"superior":[225],"performance":[226],"proposed":[229],"model":[230],"over":[231],"state-of-the-art":[233],"methods.":[236]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}