{"id":"https://openalex.org/W3024257429","doi":"https://doi.org/10.1109/tkde.2020.2993870","title":"Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity","display_name":"Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity","publication_year":2020,"publication_date":"2020-05-11","ids":{"openalex":"https://openalex.org/W3024257429","doi":"https://doi.org/10.1109/tkde.2020.2993870","mag":"3024257429"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2020.2993870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.2993870","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"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 Knowledge and Data Engineering","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/A5100411469","display_name":"Xiao Wang","orcid":"https://orcid.org/0000-0002-4444-7811"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Wang","raw_affiliation_strings":["Beijing Key Lab of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4444-7811","affiliations":[{"raw_affiliation_string":"Beijing Key Lab of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068483851","display_name":"Yuanfu Lu","orcid":"https://orcid.org/0000-0002-5743-3216"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanfu Lu","raw_affiliation_strings":["Beijing Key Lab of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","WeChat Search Application Department, Tencent, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-5743-3216","affiliations":[{"raw_affiliation_string":"Beijing Key Lab of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"WeChat Search Application Department, Tencent, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100705849","display_name":"Chuan Shi","orcid":"https://orcid.org/0000-0002-3734-0266"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Shi","raw_affiliation_strings":["Beijing Key Lab of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3734-0266","affiliations":[{"raw_affiliation_string":"Beijing Key Lab of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101813137","display_name":"Ruijia Wang","orcid":"https://orcid.org/0000-0003-2294-9164"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruijia Wang","raw_affiliation_strings":["Beijing Key Lab of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2294-9164","affiliations":[{"raw_affiliation_string":"Beijing Key Lab of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009228005","display_name":"Peng Cui","orcid":"https://orcid.org/0000-0003-2957-8511"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Cui","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2957-8511","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026881023","display_name":"Shuai Mou","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Mou","raw_affiliation_strings":["Tencent, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2045,"currency":"USD","value_usd":2045},"apc_paid":null,"fwci":11.8006,"has_fulltext":false,"cited_by_count":141,"citation_normalized_percentile":{"value":0.98794624,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":"34","issue":"3","first_page":"1117","last_page":"1132"},"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9945999979972839,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.9753000140190125,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.8097808361053467},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.686769425868988},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5768274068832397},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5411985516548157},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.511104166507721},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.46777334809303284},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3095923662185669},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2459632158279419}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.8097808361053467},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.686769425868988},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5768274068832397},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5411985516548157},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.511104166507721},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.46777334809303284},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3095923662185669},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2459632158279419},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2020.2993870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.2993870","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"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 Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1352607027","display_name":null,"funder_award_id":"2018YFB1402600","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3200522107","display_name":null,"funder_award_id":"61702296","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3628717404","display_name":"\u9762\u5411\u5f02\u6784\u62d3\u6251\u4e0e\u8bed\u4e49\u878d\u5408\u7684\u5927\u89c4\u6a21\u7f51\u7edc\u5212\u5206\u7814\u7a76","funder_award_id":"61972442","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4957550077","display_name":"\u9762\u5411\u793e\u4f1a\u5a92\u4f53\u5927\u6570\u636e\u7684\u5f02\u8d28\u4fe1\u606f\u7f51\u7edc\u5206\u6790\u7684\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61772082","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5620609558","display_name":null,"funder_award_id":"U1936104","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6687479257","display_name":null,"funder_award_id":"U1936220","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G913074851","display_name":null,"funder_award_id":"61806020","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":78,"referenced_works":["https://openalex.org/W103340358","https://openalex.org/W1575147392","https://openalex.org/W1576347883","https://openalex.org/W1614298861","https://openalex.org/W1888005072","https://openalex.org/W1987810983","https://openalex.org/W2049137142","https://openalex.org/W2059586807","https://openalex.org/W2062797058","https://openalex.org/W2090891622","https://openalex.org/W2093402979","https://openalex.org/W2109480754","https://openalex.org/W2111350126","https://openalex.org/W2142535891","https://openalex.org/W2145658888","https://openalex.org/W2153579005","https://openalex.org/W2154851992","https://openalex.org/W2156718197","https://openalex.org/W2165874743","https://openalex.org/W2242161203","https://openalex.org/W2387462954","https://openalex.org/W2393319904","https://openalex.org/W2546547051","https://openalex.org/W2579372251","https://openalex.org/W2584620251","https://openalex.org/W2604942799","https://openalex.org/W2605181250","https://openalex.org/W2607500032","https://openalex.org/W2623187518","https://openalex.org/W2624431344","https://openalex.org/W2743104969","https://openalex.org/W2761896323","https://openalex.org/W2767774008","https://openalex.org/W2772021946","https://openalex.org/W2787927827","https://openalex.org/W2790197930","https://openalex.org/W2795735740","https://openalex.org/W2798909945","https://openalex.org/W2806983170","https://openalex.org/W2808000122","https://openalex.org/W2808087697","https://openalex.org/W2808561426","https://openalex.org/W2808844541","https://openalex.org/W2809435521","https://openalex.org/W2809645418","https://openalex.org/W2896161497","https://openalex.org/W2903634148","https://openalex.org/W2950577311","https://openalex.org/W2962756421","https://openalex.org/W2962975498","https://openalex.org/W2963224980","https://openalex.org/W2963512530","https://openalex.org/W2963707260","https://openalex.org/W2963758104","https://openalex.org/W2963858333","https://openalex.org/W2963919031","https://openalex.org/W2974594200","https://openalex.org/W2986068433","https://openalex.org/W3098923689","https://openalex.org/W3102205844","https://openalex.org/W3103254545","https://openalex.org/W3104097132","https://openalex.org/W3104717349","https://openalex.org/W4291474301","https://openalex.org/W4297733535","https://openalex.org/W4300657400","https://openalex.org/W4312258136","https://openalex.org/W4320800818","https://openalex.org/W6636510571","https://openalex.org/W6682691769","https://openalex.org/W6690230747","https://openalex.org/W6726873649","https://openalex.org/W6729323343","https://openalex.org/W6732461846","https://openalex.org/W6738964360","https://openalex.org/W6745537798","https://openalex.org/W6748660260","https://openalex.org/W6751747363"],"related_works":["https://openalex.org/W2611163850","https://openalex.org/W2081900870","https://openalex.org/W1845849701","https://openalex.org/W3015250136","https://openalex.org/W1980812295","https://openalex.org/W2044218713","https://openalex.org/W2625268413","https://openalex.org/W2962989220","https://openalex.org/W2379234996","https://openalex.org/W2932872266"],"abstract_inverted_index":{"Heterogeneous":[0],"information":[1],"network":[2],"(HIN)":[3],"embedding":[4,62,88],"aims":[5],"at":[6],"learning":[7],"the":[8,37,54,59,70,83,105,120,130,140,155,166],"low-dimensional":[9],"representation":[10],"of":[11,40,43,85,132,170],"nodes":[12,44],"while":[13,28],"preserving":[14],"structure":[15,56,114],"and":[16,45,57,76,89,109,115,149,172],"semantics":[17,116],"in":[18,117,168],"a":[19,29,49,91],"HIN.":[20],"Existing":[21],"methods":[22,63],"mainly":[23],"focus":[24],"on":[25],"static":[26],"networks,":[27],"real":[30],"HIN":[31,61,87,94,121],"usually":[32],"evolves":[33,122],"over":[34,123],"time":[35],"with":[36,98,129],"addition":[38],"(deletion)":[39],"multiple":[41],"types":[42],"edges.":[46],"Because":[47],"even":[48],"tiny":[50],"change":[51],"can":[52],"influence":[53],"whole":[55],"semantics,":[58],"conventional":[60],"need":[64],"to":[65,68,112,153],"be":[66],"retrained":[67],"get":[69],"updated":[71,156],"embeddings,":[72],"which":[73],"is":[74],"time-consuming":[75],"unrealistic.":[77],"In":[78],"this":[79],"paper,":[80],"we":[81,103,125,138],"investigate":[82],"problem":[84,147],"dynamic":[86],"propose":[90],"novel":[92],"Dynamic":[93],"Embedding":[95],"model":[96],"(DyHNE)":[97],"meta-path":[99,106,133],"based":[100,107],"proximity.":[101],"Specifically,":[102],"introduce":[104],"first-":[108],"second-order":[110],"proximities":[111],"preserve":[113],"HINs.":[118],"As":[119],"time,":[124],"naturally":[126],"capture":[127],"changes":[128],"perturbation":[131,152],"augmented":[134],"adjacency":[135],"matrices.":[136],"Thereafter,":[137],"learn":[139],"node":[141],"embeddings":[142,157],"by":[143],"solving":[144],"generalized":[145],"eigenvalue":[146,151],"effectively":[148],"employ":[150],"derive":[154],"efficiently":[158],"without":[159],"retraining.":[160],"Experiments":[161],"show":[162],"that":[163],"DyHNE":[164],"outperforms":[165],"state-of-the-arts":[167],"terms":[169],"effectiveness":[171],"efficiency.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":31},{"year":2023,"cited_by_count":38},{"year":2022,"cited_by_count":21},{"year":2021,"cited_by_count":22},{"year":2020,"cited_by_count":2}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
