{"id":"https://openalex.org/W3112602881","doi":"https://doi.org/10.1109/access.2020.3043269","title":"A Semantic Aware Meta-Path Model for Heterogeneous Network Representation Learning","display_name":"A Semantic Aware Meta-Path Model for Heterogeneous Network Representation Learning","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3112602881","doi":"https://doi.org/10.1109/access.2020.3043269","mag":"3112602881"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3043269","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3043269","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09286590.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/ielx7/6287639/6514899/09286590.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101889015","display_name":"Yiping Yang","orcid":"https://orcid.org/0000-0001-7248-6132"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiping Yang","raw_affiliation_strings":["Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058604742","display_name":"Zhongwang Fu","orcid":"https://orcid.org/0000-0002-1710-547X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongwang Fu","raw_affiliation_strings":["Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063434170","display_name":"Adnan Iftekhar","orcid":"https://orcid.org/0000-0002-8249-6876"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Adnan Iftekhar","raw_affiliation_strings":["Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041280931","display_name":"Xiaohui Cui","orcid":"https://orcid.org/0000-0001-6079-009X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohui Cui","raw_affiliation_strings":["Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101889015"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.1372,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58254304,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"8","issue":null,"first_page":"220274","last_page":"220284"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":1.0,"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":1.0,"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":0.9574999809265137,"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":0.9545999765396118,"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":0.8667652010917664},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5416274070739746},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5042306184768677},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4969375431537628},{"id":"https://openalex.org/keywords/semantic-network","display_name":"Semantic network","score":0.44649824500083923},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3617973327636719},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3414437472820282},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.16693145036697388}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8667652010917664},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5416274070739746},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5042306184768677},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4969375431537628},{"id":"https://openalex.org/C85407183","wikidata":"https://www.wikidata.org/wiki/Q1045785","display_name":"Semantic network","level":2,"score":0.44649824500083923},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3617973327636719},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3414437472820282},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.16693145036697388},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3043269","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3043269","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09286590.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:0e6987f18cf94ac585edeee0979d53b0","is_oa":true,"landing_page_url":"https://doaj.org/article/0e6987f18cf94ac585edeee0979d53b0","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 220274-220284 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3043269","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3043269","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09286590.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":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3112602881.pdf","grobid_xml":"https://content.openalex.org/works/W3112602881.grobid-xml"},"referenced_works_count":75,"referenced_works":["https://openalex.org/W103340358","https://openalex.org/W1501856433","https://openalex.org/W1522301498","https://openalex.org/W1614298861","https://openalex.org/W1662382123","https://openalex.org/W1888005072","https://openalex.org/W2064675550","https://openalex.org/W2116341502","https://openalex.org/W2133564696","https://openalex.org/W2145658888","https://openalex.org/W2154851992","https://openalex.org/W2155461593","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2604314403","https://openalex.org/W2624431344","https://openalex.org/W2743104969","https://openalex.org/W2767774008","https://openalex.org/W2792485195","https://openalex.org/W2804057010","https://openalex.org/W2808409763","https://openalex.org/W2808867307","https://openalex.org/W2907253296","https://openalex.org/W2907492528","https://openalex.org/W2911286998","https://openalex.org/W2916106175","https://openalex.org/W2945266622","https://openalex.org/W2945827670","https://openalex.org/W2950577311","https://openalex.org/W2962756421","https://openalex.org/W2963285578","https://openalex.org/W2963460103","https://openalex.org/W2963695795","https://openalex.org/W2963707260","https://openalex.org/W2963858333","https://openalex.org/W2964015378","https://openalex.org/W2964051675","https://openalex.org/W2964114465","https://openalex.org/W2964121744","https://openalex.org/W2964124573","https://openalex.org/W2964308564","https://openalex.org/W2964311892","https://openalex.org/W2964321699","https://openalex.org/W2965857891","https://openalex.org/W2989985603","https://openalex.org/W2991847337","https://openalex.org/W2997461192","https://openalex.org/W3004507689","https://openalex.org/W3042085764","https://openalex.org/W3044860086","https://openalex.org/W3100278010","https://openalex.org/W3103513278","https://openalex.org/W3104097132","https://openalex.org/W3104717349","https://openalex.org/W4210257598","https://openalex.org/W4293651439","https://openalex.org/W4294558607","https://openalex.org/W4297733535","https://openalex.org/W6631190155","https://openalex.org/W6636510571","https://openalex.org/W6637178625","https://openalex.org/W6679434410","https://openalex.org/W6683180375","https://openalex.org/W6684191040","https://openalex.org/W6685562342","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6738964360","https://openalex.org/W6744557953","https://openalex.org/W6745537798","https://openalex.org/W6748141922","https://openalex.org/W6748799445","https://openalex.org/W6752110883","https://openalex.org/W6760001035","https://openalex.org/W6770592035"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W2961085424","https://openalex.org/W2795079307","https://openalex.org/W4286629047","https://openalex.org/W2793058541","https://openalex.org/W3118638206","https://openalex.org/W4224009465","https://openalex.org/W172207243","https://openalex.org/W2183319312","https://openalex.org/W3112918607"],"abstract_inverted_index":{"Heterogeneous":[0],"graph":[1,171],"representation":[2,27,172],"learning":[3,28,44,99,173],"is":[4,22,195],"to":[5,24,36,77,128,169],"learn":[6],"effective":[7],"representations":[8,55],"for":[9,30],"nodes":[10],"or":[11],"(sub)graphs,":[12],"which":[13,75,102],"preserve":[14],"node":[15],"attributes":[16],"and":[17,138,177],"structural":[18],"information.":[19],"However,":[20],"it":[21],"challenging":[23],"design":[25,145],"a":[26,47,94],"method":[29],"heterogeneous":[31],"information":[32],"networks":[33],"(HINs)":[34],"due":[35],"their":[37],"diversity.":[38],"Most":[39],"of":[40,49,72,85,108,115,136,148,182,188],"the":[41,54,61,83,86,106,113,134,140,183,186,189],"existing":[42],"HIN-oriented":[43],"methods":[45,66],"define":[46],"series":[48],"meta-paths.":[50,110,130],"Then,":[51],"they":[52],"aggregate":[53],"learned":[56,87],"from":[57],"different":[58,73,109,123,129],"meta-paths":[59],"in":[60],"same":[62],"hidden":[63,124],"space.":[64],"These":[65],"do":[67],"not":[68],"consider":[69],"semantic":[70,78,116],"differences":[71],"meta-paths,":[74],"leads":[76],"confusion.":[79],"And":[80],"further":[81,132],"affects":[82],"effectiveness":[84,187],"representation.":[88],"Given":[89],"these":[90],"issues,":[91],"we":[92,143],"introduce":[93],"Semantic":[95],"Aware":[96],"HIN":[97,160],"Representation":[98],"Network":[100],"(SAHRN),":[101],"takes":[103],"into":[104,122],"account":[105],"semantics":[107],"We":[111],"mitigate":[112],"problem":[114],"confusion":[117],"by":[118,151],"projecting":[119],"nodes\u2019":[120],"features":[121],"spaces":[125],"separately":[126],"according":[127],"To":[131],"expand":[133],"scope":[135],"aggregation":[137],"enrich":[139],"aggregated":[141],"information,":[142],"also":[144],"various":[146],"variants":[147],"our":[149],"model":[150,184],"adding":[152],"layer":[153],"aggregation.":[154],"Extensive":[155],"experiments":[156,176],"on":[157,179,197],"three":[158],"standard":[159],"datasets":[161],"show":[162,185],"that":[163],"SAHRN":[164],"achieves":[165],"consistent":[166],"improvements":[167],"compared":[168],"state-of-the-art":[170],"methods.":[174],"The":[175,192],"analyses":[178],"each":[180],"component":[181],"proposed":[190],"method.":[191],"source":[193],"code":[194],"available":[196],"<uri":[198],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[199],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/pingpingand/SAHRN</uri>":[200],".":[201]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
