{"id":"https://openalex.org/W4415445642","doi":"https://doi.org/10.1016/j.knosys.2025.114747","title":"Heterogeneous network representation learning via multiple attention mechanisms","display_name":"Heterogeneous network representation learning via multiple attention mechanisms","publication_year":2025,"publication_date":"2025-10-23","ids":{"openalex":"https://openalex.org/W4415445642","doi":"https://doi.org/10.1016/j.knosys.2025.114747"},"language":"en","primary_location":{"id":"doi:10.1016/j.knosys.2025.114747","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.knosys.2025.114747","pdf_url":null,"source":{"id":"https://openalex.org/S10169007","display_name":"Knowledge-Based Systems","issn_l":"0950-7051","issn":["0950-7051","1872-7409"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge-Based Systems","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":null,"display_name":"Lili Han","orcid":"https://orcid.org/0009-0005-1524-6905"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lili Han","raw_affiliation_strings":["School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China"],"affiliations":[{"raw_affiliation_string":"School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100602279","display_name":"Hui Zhao","orcid":"https://orcid.org/0000-0002-7449-9057"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hui Zhao","raw_affiliation_strings":["School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China"],"affiliations":[{"raw_affiliation_string":"School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100602279"],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":{"value":3130,"currency":"USD","value_usd":3130},"apc_paid":null,"fwci":2.3568,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.91541692,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"330","issue":null,"first_page":"114747","last_page":"114747"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9987999796867371,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/heterogeneous-network","display_name":"Heterogeneous network","score":0.7724000215530396},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.6220999956130981},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5807999968528748},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5521000027656555},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5037000179290771},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4643000066280365},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4490000009536743},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4117000102996826}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7746999859809875},{"id":"https://openalex.org/C158207573","wikidata":"https://www.wikidata.org/wiki/Q5747224","display_name":"Heterogeneous network","level":4,"score":0.7724000215530396},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.6220999956130981},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5807999968528748},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5521000027656555},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5037000179290771},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4643000066280365},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4490000009536743},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44350001215934753},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4117000102996826},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.38749998807907104},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.3736000061035156},{"id":"https://openalex.org/C170133592","wikidata":"https://www.wikidata.org/wiki/Q1806883","display_name":"Latent semantic analysis","level":2,"score":0.3686999976634979},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34929999709129333},{"id":"https://openalex.org/C112933361","wikidata":"https://www.wikidata.org/wiki/Q2845258","display_name":"Probabilistic latent semantic analysis","level":2,"score":0.34360000491142273},{"id":"https://openalex.org/C85407183","wikidata":"https://www.wikidata.org/wiki/Q1045785","display_name":"Semantic network","level":2,"score":0.28850001096725464},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28619998693466187},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.2856000065803528},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2815000116825104},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2728999853134155},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.26269999146461487}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.knosys.2025.114747","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.knosys.2025.114747","pdf_url":null,"source":{"id":"https://openalex.org/S10169007","display_name":"Knowledge-Based Systems","issn_l":"0950-7051","issn":["0950-7051","1872-7409"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge-Based Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2926930228","display_name":null,"funder_award_id":"61671095","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":51,"referenced_works":["https://openalex.org/W2053186076","https://openalex.org/W2093402979","https://openalex.org/W2116341502","https://openalex.org/W2602856279","https://openalex.org/W2911840101","https://openalex.org/W2913650309","https://openalex.org/W2914059076","https://openalex.org/W2914761779","https://openalex.org/W2914874661","https://openalex.org/W3026423472","https://openalex.org/W3080933176","https://openalex.org/W3092470702","https://openalex.org/W3108202858","https://openalex.org/W3114303065","https://openalex.org/W3116637551","https://openalex.org/W3123909522","https://openalex.org/W3128451008","https://openalex.org/W3147409145","https://openalex.org/W3152893301","https://openalex.org/W3189626311","https://openalex.org/W3196742759","https://openalex.org/W3200590570","https://openalex.org/W3205650396","https://openalex.org/W3210073855","https://openalex.org/W3213455364","https://openalex.org/W4213069590","https://openalex.org/W4224307896","https://openalex.org/W4225492775","https://openalex.org/W4288694690","https://openalex.org/W4289533943","https://openalex.org/W4292267310","https://openalex.org/W4297088423","https://openalex.org/W4297733535","https://openalex.org/W4303987227","https://openalex.org/W4306879431","https://openalex.org/W4312106615","https://openalex.org/W4312729251","https://openalex.org/W4320015696","https://openalex.org/W4376171375","https://openalex.org/W4378966397","https://openalex.org/W4380742436","https://openalex.org/W4385703870","https://openalex.org/W4386001640","https://openalex.org/W4389060259","https://openalex.org/W4392366624","https://openalex.org/W4399864464","https://openalex.org/W4400033125","https://openalex.org/W4401301363","https://openalex.org/W4401326926","https://openalex.org/W4406277651","https://openalex.org/W4407849515"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-24T00:00:00"}
