{"id":"https://openalex.org/W4312331995","doi":"https://doi.org/10.1109/tkde.2022.3224193","title":"Heterogeneous Graph Neural Network With Multi-View Representation Learning","display_name":"Heterogeneous Graph Neural Network With Multi-View Representation Learning","publication_year":2022,"publication_date":"2022-11-24","ids":{"openalex":"https://openalex.org/W4312331995","doi":"https://doi.org/10.1109/tkde.2022.3224193"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2022.3224193","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3224193","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/A5056183845","display_name":"Zezhi Shao","orcid":"https://orcid.org/0000-0002-0815-2768"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zezhi Shao","raw_affiliation_strings":["Institute of Computing Technology, CAS, Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103245119","display_name":"Yongjun Xu","orcid":"https://orcid.org/0000-0001-6647-0986"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjun Xu","raw_affiliation_strings":["Institute of Computing Technology, CAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100323842","display_name":"Wei Wei","orcid":"https://orcid.org/0000-0003-4488-0102"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wei","raw_affiliation_strings":["School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455817","display_name":"Fei Wang","orcid":"https://orcid.org/0000-0002-3282-0535"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Wang","raw_affiliation_strings":["Institute of Computing Technology, CAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422985","display_name":"Zhao Zhang","orcid":"https://orcid.org/0000-0001-6680-160X"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Zhang","raw_affiliation_strings":["Institute of Computing Technology, CAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003692270","display_name":"Feida Zhu","orcid":"https://orcid.org/0000-0001-6077-4356"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Feida Zhu","raw_affiliation_strings":["School of Information Systems, Singapore Management University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Information Systems, Singapore Management University, Singapore","institution_ids":["https://openalex.org/I79891267"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5056183845"],"corresponding_institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":3.7481,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.94046288,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"35","issue":"11","first_page":"11476","last_page":"11488"},"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/T10028","display_name":"Topic Modeling","score":0.9742000102996826,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9611999988555908,"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":0.7734010815620422},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.617335319519043},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.573685884475708},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5591939091682434},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49181225895881653},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4643455147743225},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.43133974075317383},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4156447649002075},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4140034317970276}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7734010815620422},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.617335319519043},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.573685884475708},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5591939091682434},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49181225895881653},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4643455147743225},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.43133974075317383},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4156447649002075},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4140034317970276}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2022.3224193","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3224193","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":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G2095704611","display_name":null,"funder_award_id":"61902382","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2705146462","display_name":null,"funder_award_id":"2021M703273","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5019637111","display_name":null,"funder_award_id":"61902376","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6095425281","display_name":null,"funder_award_id":"62276110","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":79,"referenced_works":["https://openalex.org/W1533230146","https://openalex.org/W1548361610","https://openalex.org/W1614298861","https://openalex.org/W1662382123","https://openalex.org/W1665214252","https://openalex.org/W2127795553","https://openalex.org/W2154851992","https://openalex.org/W2187089797","https://openalex.org/W2600702321","https://openalex.org/W2604314403","https://openalex.org/W2606780347","https://openalex.org/W2743104969","https://openalex.org/W2807021761","https://openalex.org/W2890732907","https://openalex.org/W2907253296","https://openalex.org/W2911286998","https://openalex.org/W2914721378","https://openalex.org/W2945266622","https://openalex.org/W2951626319","https://openalex.org/W2962711740","https://openalex.org/W2963707260","https://openalex.org/W2963757395","https://openalex.org/W2963764569","https://openalex.org/W2964015378","https://openalex.org/W2964321699","https://openalex.org/W2965857891","https://openalex.org/W2970066309","https://openalex.org/W2978312033","https://openalex.org/W2979057167","https://openalex.org/W2995448904","https://openalex.org/W2997461192","https://openalex.org/W3003795821","https://openalex.org/W3004507689","https://openalex.org/W3008981553","https://openalex.org/W3012871709","https://openalex.org/W3012901223","https://openalex.org/W3027097765","https://openalex.org/W3030145375","https://openalex.org/W3039075121","https://openalex.org/W3094003325","https://openalex.org/W3098802639","https://openalex.org/W3100848837","https://openalex.org/W3100993589","https://openalex.org/W3102840236","https://openalex.org/W3103513278","https://openalex.org/W3104097132","https://openalex.org/W3113127264","https://openalex.org/W3126138172","https://openalex.org/W3126197523","https://openalex.org/W3130062726","https://openalex.org/W3176365208","https://openalex.org/W3215556681","https://openalex.org/W4221151012","https://openalex.org/W4294170691","https://openalex.org/W4294558607","https://openalex.org/W4297733535","https://openalex.org/W4300935520","https://openalex.org/W4385245566","https://openalex.org/W6631964550","https://openalex.org/W6636510571","https://openalex.org/W6637178625","https://openalex.org/W6637242042","https://openalex.org/W6678830454","https://openalex.org/W6682691769","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6736685754","https://openalex.org/W6738964360","https://openalex.org/W6739901393","https://openalex.org/W6745537798","https://openalex.org/W6748856961","https://openalex.org/W6754821620","https://openalex.org/W6754929296","https://openalex.org/W6767098714","https://openalex.org/W6769589523","https://openalex.org/W6785001774","https://openalex.org/W6785382328","https://openalex.org/W6786252251","https://openalex.org/W6810236004"],"related_works":["https://openalex.org/W3036264823","https://openalex.org/W3206528106","https://openalex.org/W2912814903","https://openalex.org/W2123605750","https://openalex.org/W2088740331","https://openalex.org/W3038102983","https://openalex.org/W2950907416","https://openalex.org/W1559483280","https://openalex.org/W2082479932","https://openalex.org/W2932872266"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"graph":[3,14,136],"neural":[4],"networks":[5],"(GNNs)-based":[6],"methods":[7,65],"have":[8],"been":[9],"widely":[10],"adopted":[11],"for":[12,117,161],"heterogeneous":[13],"(HG)":[15],"embedding,":[16],"due":[17],"to":[18,40,98,154,179],"their":[19],"power":[20],"in":[21,50,150,183],"effectively":[22],"encoding":[23],"rich":[24,47],"information":[25,81],"from":[26,82,91],"a":[27,110,123,133],"HG":[28,118,168],"into":[29],"the":[30,43,51,58,63,69,77,83,87,106,151,171,180],"low-dimensional":[31],"node":[32,100,159,188,190],"embeddings.":[33],"However,":[34],"previous":[35],"works":[36],"usually":[37],"easily":[38],"fail":[39],"fully":[41],"leverage":[42],"inherent":[44],"heterogeneity":[45,78,147],"and":[46,138,148,157,192],"semantics":[48,93,149],"contained":[49],"complex":[52,146],"local":[53,70,84,152],"structures":[54],"of":[55,62,132,174],"HGs.":[56,162],"On":[57,86],"one":[59],"hand,":[60,89],"most":[61],"existing":[64],"either":[66],"inadequately":[67],"model":[68],"structure":[71,153],"under":[72],"specific":[73],"semantics,":[74],"or":[75],"neglect":[76],"when":[79],"aggregating":[80],"structure.":[85],"other":[88],"representations":[90,160],"multiple":[92],"are":[94],"not":[95],"comprehensively":[96],"integrated":[97],"obtain":[99],"embeddings":[101],"with":[102],"versatility.":[103],"To":[104],"address":[105],"problem,":[107],"we":[108],"propose":[109],"<italic":[111,120],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[112,121],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Heterogeneous":[113],"Graph":[114],"Neural":[115],"Network</i>":[116],"embedding":[119],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">within":[122],"Multi-View":[124],"representation":[125],"learning":[126],"framework</i>":[127],"(named":[128],"MV-HetGNN),":[129],"which":[130],"consists":[131],"view-specific":[134],"ego":[135],"encoder":[137],"auto":[139],"multi-view":[140],"fusion":[141],"layer.":[142],"MV-HetGNN":[143,177],"thoroughly":[144],"learns":[145],"generate":[155],"comprehensive":[156],"versatile":[158],"Extensive":[163],"experiments":[164],"on":[165],"three":[166],"real-world":[167],"datasets":[169],"demonstrate":[170],"significant":[172],"superiority":[173],"our":[175],"proposed":[176],"compared":[178],"state-of-the-art":[181],"baselines":[182],"various":[184],"downstream":[185],"tasks,":[186],"e.g.,":[187],"classification,":[189],"clustering,":[191],"link":[193],"prediction.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}