{"id":"https://openalex.org/W4376466686","doi":"https://doi.org/10.1109/tbdata.2023.3275374","title":"Self-Supervised Nodes-Hyperedges Embedding for Heterogeneous Information Network Learning","display_name":"Self-Supervised Nodes-Hyperedges Embedding for Heterogeneous Information Network Learning","publication_year":2023,"publication_date":"2023-05-11","ids":{"openalex":"https://openalex.org/W4376466686","doi":"https://doi.org/10.1109/tbdata.2023.3275374"},"language":"en","primary_location":{"id":"doi:10.1109/tbdata.2023.3275374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2023.3275374","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Big Data","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/A5013536349","display_name":"Mengran Li","orcid":"https://orcid.org/0000-0001-7540-530X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mengran Li","raw_affiliation_strings":["Beijing Key Laboratory of multimedia and intelligent software technology, Beijing Institute of artificial intelligence, Department of information science, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of multimedia and intelligent software technology, Beijing Institute of artificial intelligence, Department of information science, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070956153","display_name":"Yong Zhang","orcid":"https://orcid.org/0000-0001-6650-6790"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhang","raw_affiliation_strings":["Beijing Key Laboratory of multimedia and intelligent software technology, Beijing Institute of artificial intelligence, Department of information science, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of multimedia and intelligent software technology, Beijing Institute of artificial intelligence, Department of information science, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101400564","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0001-8958-8506"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["China Agricultural University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101458710","display_name":"Yi Chu","orcid":"https://orcid.org/0009-0005-7536-9827"},"institutions":[{"id":"https://openalex.org/I2800372957","display_name":"China Electronics Technology Group Corporation","ror":"https://ror.org/0098hst83","country_code":"CN","type":"company","lineage":["https://openalex.org/I2800372957"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Chu","raw_affiliation_strings":["China Electronics Technology Group Taiji Co. Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"China Electronics Technology Group Taiji Co. Ltd., Beijing, China","institution_ids":["https://openalex.org/I2800372957"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027329007","display_name":"Yongli Hu","orcid":"https://orcid.org/0000-0003-0440-438X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongli Hu","raw_affiliation_strings":["Beijing Key Laboratory of multimedia and intelligent software technology, Beijing Institute of artificial intelligence, Department of information science, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of multimedia and intelligent software technology, Beijing Institute of artificial intelligence, Department of information science, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020527092","display_name":"Baocai Yin","orcid":"https://orcid.org/0000-0003-3121-1823"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baocai Yin","raw_affiliation_strings":["Beijing Key Laboratory of multimedia and intelligent software technology, Beijing Institute of artificial intelligence, Department of information science, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of multimedia and intelligent software technology, Beijing Institute of artificial intelligence, Department of information science, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5013536349"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":3.3053,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.93544765,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"9","issue":"4","first_page":"1210","last_page":"1224"},"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":0.9879999756813049,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.974399983882904,"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":0.6849240064620972},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6028256416320801},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.512827455997467},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5102307796478271},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.46623823046684265},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45110806822776794},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.4333270788192749},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4001755714416504}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6849240064620972},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6028256416320801},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.512827455997467},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5102307796478271},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.46623823046684265},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45110806822776794},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.4333270788192749},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4001755714416504}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbdata.2023.3275374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2023.3275374","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Big Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2392307573","display_name":null,"funder_award_id":"62072015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6212863906","display_name":null,"funder_award_id":"U21B2038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G645460288","display_name":null,"funder_award_id":"4222021","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G7744321187","display_name":null,"funder_award_id":"U19B2039","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/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":91,"referenced_works":["https://openalex.org/W103340358","https://openalex.org/W589246141","https://openalex.org/W1501856433","https://openalex.org/W1522301498","https://openalex.org/W1587744656","https://openalex.org/W1888005072","https://openalex.org/W1965555277","https://openalex.org/W1989889610","https://openalex.org/W2033193852","https://openalex.org/W2051090063","https://openalex.org/W2074466695","https://openalex.org/W2116341502","https://openalex.org/W2128700566","https://openalex.org/W2154851992","https://openalex.org/W2170057991","https://openalex.org/W2187089797","https://openalex.org/W2261525379","https://openalex.org/W2743104969","https://openalex.org/W2767774008","https://openalex.org/W2773131141","https://openalex.org/W2807021761","https://openalex.org/W2807746743","https://openalex.org/W2809418595","https://openalex.org/W2883725317","https://openalex.org/W2892880750","https://openalex.org/W2911286998","https://openalex.org/W2952343887","https://openalex.org/W2962756421","https://openalex.org/W2963707260","https://openalex.org/W2963911286","https://openalex.org/W2963919031","https://openalex.org/W2964015378","https://openalex.org/W2964051675","https://openalex.org/W2964321699","https://openalex.org/W2965857891","https://openalex.org/W2966720510","https://openalex.org/W2969797059","https://openalex.org/W2970127247","https://openalex.org/W2980540750","https://openalex.org/W2997461192","https://openalex.org/W2997686727","https://openalex.org/W2998269939","https://openalex.org/W3001111845","https://openalex.org/W3012871709","https://openalex.org/W3023371261","https://openalex.org/W3032521456","https://openalex.org/W3033039844","https://openalex.org/W3035725276","https://openalex.org/W3036159734","https://openalex.org/W3085990079","https://openalex.org/W3100364066","https://openalex.org/W3100848837","https://openalex.org/W3104097132","https://openalex.org/W3117562715","https://openalex.org/W3172710079","https://openalex.org/W3175971420","https://openalex.org/W3188916965","https://openalex.org/W3190664711","https://openalex.org/W3201150168","https://openalex.org/W3207379368","https://openalex.org/W4225426747","https://openalex.org/W4225713789","https://openalex.org/W4239510810","https://openalex.org/W4283732568","https://openalex.org/W4285378361","https://openalex.org/W4285723986","https://openalex.org/W4286695273","https://openalex.org/W4297379527","https://openalex.org/W4297733535","https://openalex.org/W4367047306","https://openalex.org/W6631190155","https://openalex.org/W6637178625","https://openalex.org/W6682889407","https://openalex.org/W6685380521","https://openalex.org/W6726873649","https://openalex.org/W6730084236","https://openalex.org/W6738964360","https://openalex.org/W6744563477","https://openalex.org/W6746625741","https://openalex.org/W6755573351","https://openalex.org/W6767098714","https://openalex.org/W6779339669","https://openalex.org/W6779518175","https://openalex.org/W6779940601","https://openalex.org/W6779961489","https://openalex.org/W6784694379","https://openalex.org/W6784977419","https://openalex.org/W6795754764","https://openalex.org/W6797926237","https://openalex.org/W6810665001","https://openalex.org/W6811071201"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W4372354731","https://openalex.org/W2942366970","https://openalex.org/W2807634898","https://openalex.org/W1692008701","https://openalex.org/W2597588799","https://openalex.org/W1968265719","https://openalex.org/W2932872266"],"abstract_inverted_index":{"The":[0,195],"exploration":[1],"of":[2,6,111,146,201],"self-supervised":[3,152],"information":[4,31,106,135,157],"mining":[5],"heterogeneous":[7,30,51],"datasets":[8,182],"has":[9],"gained":[10],"significant":[11],"traction":[12],"in":[13,158],"recent":[14],"years.":[15],"Heterogeneous":[16],"graph":[17,118,161],"neural":[18],"networks":[19,32,40],"(HGNNs)":[20],"have":[21],"emerged":[22],"as":[23],"a":[24,78,150],"highly":[25],"promising":[26],"method":[27,80,114,178],"for":[28,183],"handling":[29],"(HINs)":[33],"due":[34],"to":[35,44,103,132],"their":[36],"superior":[37],"performance.":[38],"These":[39],"leverage":[41],"aggregation":[42],"functions":[43],"convert":[45],"pairwise":[46],"relations-based":[47],"features":[48],"from":[49],"raw":[50,117],"graphs":[52],"into":[53,107,120,130],"embedding":[54,109,141],"vectors.":[55],"However,":[56],"real-world":[57,181],"HINs":[58],"contain":[59],"valuable":[60],"higher-order":[61,105],"relations":[62],"that":[63,154],"are":[64,127],"often":[65],"overlooked":[66],"but":[67],"can":[68],"provide":[69],"complementary":[70],"information.":[71],"To":[72],"address":[73],"this":[74],"issue,":[75],"we":[76,148],"propose":[77],"novel":[79],"called":[81],"<bold":[82,86,90,94],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[83,87,91,95,210],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">S</b>":[84],"elf-supervised":[85],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">N</b>":[88],"odes-":[89],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">H</b>":[92],"yperedges":[93],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">E</b>":[96],"mbedding":[97],"(SNHE),":[98],"which":[99,126],"leverages":[100],"hypergraph":[101],"structures":[102],"incorporate":[104],"the":[108,116,137,144,159,165,199],"process":[110],"HINs.":[112],"Our":[113,204],"decomposes":[115],"structure":[119,153],"snapshots":[121],"based":[122],"on":[123,179],"various":[124,180],"meta-paths,":[125],"then":[128],"transformed":[129],"hypergraphs":[131],"aggregate":[133],"high-order":[134],"within":[136],"data":[138,162],"and":[139,169,172,186,189],"generate":[140],"representations.":[142],"Given":[143],"complexity":[145],"HINs,":[147],"develop":[149],"dual":[151],"maximizes":[155],"mutual":[156],"enhanced":[160],"space,":[163],"guides":[164],"overall":[166],"model":[167],"update,":[168],"reduces":[170],"redundancy":[171],"noise.":[173],"We":[174],"evaluate":[175],"our":[176,202],"proposed":[177],"node":[184],"classification":[185],"clustering":[187],"tasks,":[188],"compare":[190],"it":[191],"against":[192],"state-of-the-art":[193],"methods.":[194],"experimental":[196],"results":[197],"demonstrate":[198],"efficacy":[200],"method.":[203],"code":[205],"is":[206],"available":[207],"at":[208],"<uri":[209],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/limengran98/SNHE</uri>":[211],".":[212]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
