{"id":"https://openalex.org/W4409327162","doi":"https://doi.org/10.1109/access.2025.3559720","title":"Semantic Fusion-Oriented Bi-Typed Multi-Relational Heterogeneous Graph Neural Network","display_name":"Semantic Fusion-Oriented Bi-Typed Multi-Relational Heterogeneous Graph Neural Network","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409327162","doi":"https://doi.org/10.1109/access.2025.3559720"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3559720","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3559720","pdf_url":null,"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://doi.org/10.1109/access.2025.3559720","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041858772","display_name":"Yifan Sun","orcid":"https://orcid.org/0009-0007-7987-2045"},"institutions":[{"id":"https://openalex.org/I4210119101","display_name":"Tangshan Normal University","ror":"https://ror.org/02jdm8069","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119101"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yifan Sun","raw_affiliation_strings":["Department of Computer Science and Technology, Tangshan Normal University, Tangshan, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tangshan Normal University, Tangshan, China","institution_ids":["https://openalex.org/I4210119101"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100723706","display_name":"Jing Yan","orcid":"https://orcid.org/0000-0001-6245-7434"},"institutions":[{"id":"https://openalex.org/I4210119101","display_name":"Tangshan Normal University","ror":"https://ror.org/02jdm8069","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119101"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Yan","raw_affiliation_strings":["Department of Computer Science and Technology, Tangshan Normal University, Tangshan, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tangshan Normal University, Tangshan, China","institution_ids":["https://openalex.org/I4210119101"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102821086","display_name":"Lilei Lu","orcid":"https://orcid.org/0000-0002-2959-5306"},"institutions":[{"id":"https://openalex.org/I4210119101","display_name":"Tangshan Normal University","ror":"https://ror.org/02jdm8069","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119101"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lilei Lu","raw_affiliation_strings":["Department of Computer Science and Technology, Tangshan Normal University, Tangshan, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tangshan Normal University, Tangshan, China","institution_ids":["https://openalex.org/I4210119101"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001004189","display_name":"Hongbo Zhang","orcid":"https://orcid.org/0000-0002-3866-7711"},"institutions":[{"id":"https://openalex.org/I4210119101","display_name":"Tangshan Normal University","ror":"https://ror.org/02jdm8069","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119101"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbo Zhang","raw_affiliation_strings":["Department of Computer Science and Technology, Tangshan Normal University, Tangshan, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tangshan Normal University, Tangshan, China","institution_ids":["https://openalex.org/I4210119101"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032756787","display_name":"Yanhong Shang","orcid":"https://orcid.org/0000-0002-7783-8755"},"institutions":[{"id":"https://openalex.org/I4210119101","display_name":"Tangshan Normal University","ror":"https://ror.org/02jdm8069","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119101"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanhong Shang","raw_affiliation_strings":["Department of Computer Science and Technology, Tangshan Normal University, Tangshan, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tangshan Normal University, Tangshan, China","institution_ids":["https://openalex.org/I4210119101"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5041858772"],"corresponding_institution_ids":["https://openalex.org/I4210119101"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.8843,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.9034042,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"13","issue":null,"first_page":"64584","last_page":"64593"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9140999913215637,"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":0.9140999913215637,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8018209934234619},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44334691762924194},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42978575825691223},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4227222204208374},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33480072021484375}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8018209934234619},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44334691762924194},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42978575825691223},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4227222204208374},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33480072021484375}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3559720","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3559720","pdf_url":null,"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:2687db15646b4643a99fef2f18148919","is_oa":true,"landing_page_url":"https://doaj.org/article/2687db15646b4643a99fef2f18148919","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":"IEEE Access, Vol 13, Pp 64584-64593 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3559720","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3559720","pdf_url":null,"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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W103340358","https://openalex.org/W2112796928","https://openalex.org/W2194775991","https://openalex.org/W2911286998","https://openalex.org/W2956154252","https://openalex.org/W2964015378","https://openalex.org/W2965857891","https://openalex.org/W3004507689","https://openalex.org/W3012871709","https://openalex.org/W3025937945","https://openalex.org/W3030145375","https://openalex.org/W3034379146","https://openalex.org/W3155886566","https://openalex.org/W3161072801","https://openalex.org/W4285378361","https://openalex.org/W4361247926","https://openalex.org/W4362653719","https://openalex.org/W4376171375","https://openalex.org/W4396999929","https://openalex.org/W4401857173","https://openalex.org/W4404301906","https://openalex.org/W4405429544","https://openalex.org/W4406553822","https://openalex.org/W6720006811","https://openalex.org/W6745537798","https://openalex.org/W6754929296","https://openalex.org/W6767098714"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Compared":[0],"to":[1,61,67,120,159,186,200],"traditional":[2],"heterogeneous":[3],"graph":[4],"(HG)":[5],"data,":[6],"Bi-typed":[7,83],"Multi-relational":[8,84],"Heterogeneous":[9,38,85],"Graph":[10,39,86],"(BMHG)":[11],"not":[12],"only":[13],"have":[14],"various":[15,209],"edge":[16,96],"relationships":[17,49,97],"between":[18],"different":[19,146,164,168],"types":[20,165],"of":[21,30,70,94,124],"nodes":[22,104,114],"but":[23],"also":[24],"connections":[25],"among":[26,103],"the":[27,68,92,122,136],"same":[28],"type":[29],"nodes,":[31],"which":[32,65],"increases":[33],"modeling":[34],"complexity.":[35],"However,":[36],"existing":[37,201],"Neural":[40],"Networks":[41],"(HGNN)":[42],"primarily":[43],"focus":[44],"on":[45,59,193],"HGs":[46],"with":[47,112,149],"single":[48],"and":[50,98,140,166,182],"are":[51],"ineffective":[52],"for":[53],"BMHGs.":[54,106],"These":[55],"methods":[56],"often":[57],"rely":[58],"meta-paths":[60],"capture":[62,160],"node":[63,72,126,138],"features,":[64],"leads":[66],"loss":[69,123],"intermediate":[71,113,125],"information.":[73,127],"To":[74],"address":[75],"this,":[76],"this":[77],"paper":[78],"proposes":[79],"a":[80,116,150,172],"Semantic":[81],"Fusion-based":[82],"model":[87],"(SF-BMHG),":[88],"aimed":[89],"at":[90],"solving":[91],"challenges":[93],"multiple":[95],"complex":[99],"semantic":[100,131,147,184],"information":[101,132],"processing":[102],"in":[105,133],"SF-BMHG":[107,177,204],"first":[108],"generates":[109],"new":[110,137],"features":[111,139,144,162,170,181,185],"through":[115,171],"feature":[117,189],"fusion":[118],"strategy":[119],"avoid":[121],"It":[128],"then":[129],"captures":[130],"BMHGs":[134],"using":[135],"meta-relation":[141],"paths,":[142],"integrating":[143],"from":[145],"paths":[148],"semantic-level":[151],"attention":[152,174],"mechanism.":[153,175],"Additionally,":[154],"it":[155],"employs":[156],"relational":[157],"convolutions":[158],"relationship":[161,169,180],"within":[163],"fuses":[167],"relational-level":[173],"Ultimately,":[176],"combines":[178],"intra-type":[179],"inter-type":[183],"produce":[187],"rich":[188],"embeddings.":[190],"Experimental":[191],"results":[192],"real-world":[194],"constructed":[195],"datasets":[196],"demonstrate":[197],"that,":[198],"compared":[199],"baseline":[202],"methods,":[203],"achieves":[205],"superior":[206],"performance":[207],"across":[208],"tasks.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
