{"id":"https://openalex.org/W4401979950","doi":"https://doi.org/10.26599/bdma.2023.9020037","title":"Node and Edge Joint Embedding for Heterogeneous Information Network","display_name":"Node and Edge Joint Embedding for Heterogeneous Information Network","publication_year":2024,"publication_date":"2024-08-28","ids":{"openalex":"https://openalex.org/W4401979950","doi":"https://doi.org/10.26599/bdma.2023.9020037"},"language":"en","primary_location":{"id":"doi:10.26599/bdma.2023.9020037","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2023.9020037","pdf_url":null,"source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.26599/bdma.2023.9020037","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100333510","display_name":"Lei Chen","orcid":"https://orcid.org/0000-0002-8000-7872"},"institutions":[{"id":"https://openalex.org/I121296143","display_name":"Hunan University of Science and Technology","ror":"https://ror.org/02m9vrb24","country_code":"CN","type":"education","lineage":["https://openalex.org/I121296143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Chen","raw_affiliation_strings":["School of Information and Electrical Engineering, Hunan University of Science and Technology,Xiangtan,China,411201"],"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, Hunan University of Science and Technology,Xiangtan,China,411201","institution_ids":["https://openalex.org/I121296143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100409808","display_name":"Yuan Li","orcid":"https://orcid.org/0000-0002-4462-6764"},"institutions":[{"id":"https://openalex.org/I121296143","display_name":"Hunan University of Science and Technology","ror":"https://ror.org/02m9vrb24","country_code":"CN","type":"education","lineage":["https://openalex.org/I121296143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Li","raw_affiliation_strings":["School of Information and Electrical Engineering, Hunan University of Science and Technology,Xiangtan,China,411201"],"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, Hunan University of Science and Technology,Xiangtan,China,411201","institution_ids":["https://openalex.org/I121296143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036808051","display_name":"Hualiang Liu","orcid":"https://orcid.org/0000-0001-5888-2331"},"institutions":[{"id":"https://openalex.org/I4210123733","display_name":"The First People's Hospital of Changde","ror":"https://ror.org/02h2ywm64","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210123733"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hualiang Liu","raw_affiliation_strings":["Changde Water Meter Manufacture Co. Ltd.,Changde,China,415000"],"affiliations":[{"raw_affiliation_string":"Changde Water Meter Manufacture Co. Ltd.,Changde,China,415000","institution_ids":["https://openalex.org/I4210123733"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111296248","display_name":"Haomiao Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I121296143","display_name":"Hunan University of Science and Technology","ror":"https://ror.org/02m9vrb24","country_code":"CN","type":"education","lineage":["https://openalex.org/I121296143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haomiao Guo","raw_affiliation_strings":["School of Information and Electrical Engineering, Hunan University of Science and Technology,Xiangtan,China,411201"],"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, Hunan University of Science and Technology,Xiangtan,China,411201","institution_ids":["https://openalex.org/I121296143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100333510"],"corresponding_institution_ids":["https://openalex.org/I121296143"],"apc_list":null,"apc_paid":null,"fwci":1.8316,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.8633364,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"7","issue":"3","first_page":"730","last_page":"752"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.8169000148773193,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.8169000148773193,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.777400016784668,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6931714415550232},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6842652559280396},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6537944078445435},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6153585314750671},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5623180270195007},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5485110282897949},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1756642460823059},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17326310276985168},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13416099548339844}],"concepts":[{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6931714415550232},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6842652559280396},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6537944078445435},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6153585314750671},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5623180270195007},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5485110282897949},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1756642460823059},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17326310276985168},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13416099548339844},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.26599/bdma.2023.9020037","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2023.9020037","pdf_url":null,"source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:dd5e750538b646d9b3fd035fccb498b7","is_oa":true,"landing_page_url":"https://doaj.org/article/dd5e750538b646d9b3fd035fccb498b7","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Big Data Mining and Analytics, Vol 7, Iss 3, Pp 730-752 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.26599/bdma.2023.9020037","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2023.9020037","pdf_url":null,"source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3907781642","display_name":null,"funder_award_id":"62103143","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":34,"referenced_works":["https://openalex.org/W2584620251","https://openalex.org/W2743104969","https://openalex.org/W2794972978","https://openalex.org/W2799448728","https://openalex.org/W2904510605","https://openalex.org/W2911407631","https://openalex.org/W2952343887","https://openalex.org/W2963844113","https://openalex.org/W2964015378","https://openalex.org/W2995509183","https://openalex.org/W3004507689","https://openalex.org/W3023845949","https://openalex.org/W3033917965","https://openalex.org/W3036809675","https://openalex.org/W3042085764","https://openalex.org/W3089094711","https://openalex.org/W3093002101","https://openalex.org/W3096831136","https://openalex.org/W3103513278","https://openalex.org/W3105471705","https://openalex.org/W3108202858","https://openalex.org/W3114303065","https://openalex.org/W3130231096","https://openalex.org/W3137933686","https://openalex.org/W3159075545","https://openalex.org/W3211161246","https://openalex.org/W4229450718","https://openalex.org/W4294059743","https://openalex.org/W4297733535","https://openalex.org/W4386920533","https://openalex.org/W4389060259","https://openalex.org/W6745537798","https://openalex.org/W6749135448","https://openalex.org/W6767471493"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2345479200","https://openalex.org/W2183306018","https://openalex.org/W2849310602","https://openalex.org/W3006008237","https://openalex.org/W2419146053","https://openalex.org/W4388890789","https://openalex.org/W2088247287","https://openalex.org/W2963903416","https://openalex.org/W1996130883"],"abstract_inverted_index":{"Due":[0],"to":[1,16,130,143,193],"the":[2,50,57,90,123,132,138,152,159,166,177,182,190,227],"heterogeneity":[3],"of":[4,24,43,135,140,155],"nodes":[5,35,61,136],"and":[6,53,62,70,93,107,115,126,137,162,181,202,219],"edges,":[7],"heterogeneous":[8,179],"network":[9,125,161,173,192],"embedding":[10,32,44,73,134,139,157,164],"is":[11,75,149,174,186],"a":[12,22,68,170],"very":[13],"challenging":[14],"task":[15,230],"embed":[17],"highly":[18],"coupled":[19],"networks":[20],"into":[21],"set":[23],"low-dimensional":[25],"vectors.":[26],"Existing":[27],"models":[28],"either":[29],"only":[30,37],"learn":[31],"vectors":[33],"for":[34,38,77,226],"or":[36],"edges.":[39,63,141],"These":[40],"two":[41,100],"methods":[42],"learning":[45,102,106,114,118,148],"are":[46,119],"rarely":[47],"performed":[48,121,150],"in":[49],"same":[51],"model,":[52],"they":[54],"both":[55],"overlook":[56],"internal":[58],"correlation":[59],"between":[60],"To":[64],"solve":[65],"these":[66],"problems,":[67],"node":[69,156,228],"edge":[71,163],"joint":[72,101,105,109,147,196],"model":[74,86,185,210],"proposed":[76],"Heterogeneous":[78],"Information":[79],"Networks":[80],"(HINs),":[81],"called":[82],"NEJE.":[83],"The":[84],"NEJE":[85,209],"can":[87],"better":[88],"capture":[89],"latent":[91],"structural":[92],"semantic":[94,117],"information":[95],"from":[96,176],"an":[97],"HIN":[98],"through":[99,151],"strategies:":[103],"type-level":[104,146],"element-level":[108,195],"learning.":[110,197],"Firstly,":[111],"node-type-aware":[112],"structure":[113],"edge-type-aware":[116],"sequentially":[120],"on":[122,158,165,189,199,224,231],"original":[124,160,178],"its":[127],"line":[128,167],"graph":[129,183],"get":[131],"initial":[133],"Then,":[142],"optimize":[144],"performance,":[145],"alternating":[153],"training":[154],"graph.":[168],"Finally,":[169],"new":[171,191],"homogeneous":[172],"constructed":[175],"network,":[180],"attention":[184],"further":[187],"used":[188],"perform":[194],"Experiments":[198],"three":[200],"tasks":[201],"five":[203],"public":[204],"datasets":[205],"show":[206],"that":[207],"our":[208],"performance":[211],"improves":[212,221],"by":[213,222],"about":[214],"2.83%":[215],"over":[216],"other":[217],"models,":[218],"even":[220],"6.42%":[223],"average":[225],"clustering":[229],"Digital":[232],"Bibliography":[233],"&":[234],"Library":[235],"Project":[236],"(DBLP)":[237],"dataset.":[238]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
