{"id":"https://openalex.org/W4399974437","doi":"https://doi.org/10.1007/s41019-024-00253-y","title":"Multi-view Heterogeneous Graph Neural Networks for Node Classification","display_name":"Multi-view Heterogeneous Graph Neural Networks for Node Classification","publication_year":2024,"publication_date":"2024-06-24","ids":{"openalex":"https://openalex.org/W4399974437","doi":"https://doi.org/10.1007/s41019-024-00253-y"},"language":"en","primary_location":{"id":"doi:10.1007/s41019-024-00253-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-024-00253-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-024-00253-y.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s41019-024-00253-y.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101665978","display_name":"Xi Zeng","orcid":"https://orcid.org/0009-0004-5132-1282"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]},{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Zeng","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Intellectual Property & Big Data, Guangdong Polytechnic Normal University, Guangzhou, China","The School of Information Engineering, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Intellectual Property & Big Data, Guangdong Polytechnic Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I4210122543"]},{"raw_affiliation_string":"The School of Information Engineering, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063343191","display_name":"Fangyuan Lei","orcid":"https://orcid.org/0000-0002-2059-8818"},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fang-Yuan Lei","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Intellectual Property & Big Data, Guangdong Polytechnic Normal University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2059-8818","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Intellectual Property & Big Data, Guangdong Polytechnic Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076335744","display_name":"Chang\u2010Dong Wang","orcid":"https://orcid.org/0000-0001-5972-559X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang-Dong Wang","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Intellectual Property & Big Data, Guangdong Polytechnic Normal University, Guangzhou, China","School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Intellectual Property & Big Data, Guangdong Polytechnic Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I4210122543"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042977820","display_name":"Qingyun Dai","orcid":"https://orcid.org/0000-0002-7561-3704"},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing-Yun Dai","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Intellectual Property & Big Data, Guangdong Polytechnic Normal University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Intellectual Property & Big Data, Guangdong Polytechnic Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I4210122543"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063343191"],"corresponding_institution_ids":["https://openalex.org/I4210122543"],"apc_list":{"value":1290,"currency":"USD","value_usd":1290},"apc_paid":{"value":1290,"currency":"USD","value_usd":1290},"fwci":3.4022,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.93011213,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"9","issue":"3","first_page":"294","last_page":"308"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9871000051498413,"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"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9817000031471252,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7842881679534912},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5598801970481873},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.46819743514060974},{"id":"https://openalex.org/keywords/news-aggregator","display_name":"News aggregator","score":0.451653391122818},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4325549006462097},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36593520641326904}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7842881679534912},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5598801970481873},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.46819743514060974},{"id":"https://openalex.org/C180505990","wikidata":"https://www.wikidata.org/wiki/Q498267","display_name":"News aggregator","level":2,"score":0.451653391122818},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4325549006462097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36593520641326904},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s41019-024-00253-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-024-00253-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-024-00253-y.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f8df599866344b7583095f0bde0c7285","is_oa":false,"landing_page_url":"https://doaj.org/article/f8df599866344b7583095f0bde0c7285","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data Science and Engineering, Vol 9, Iss 3, Pp 294-308 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s41019-024-00253-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-024-00253-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-024-00253-y.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4399974437.pdf"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1981276685","https://openalex.org/W2604314403","https://openalex.org/W2788614083","https://openalex.org/W2907492528","https://openalex.org/W2911286998","https://openalex.org/W2963919031","https://openalex.org/W2965857891","https://openalex.org/W2966750432","https://openalex.org/W2997461192","https://openalex.org/W3003795821","https://openalex.org/W3004507689","https://openalex.org/W3012871709","https://openalex.org/W3081306295","https://openalex.org/W3098702884","https://openalex.org/W3103513278","https://openalex.org/W3108202858","https://openalex.org/W3152893301","https://openalex.org/W3155886566","https://openalex.org/W3192421672","https://openalex.org/W4285378361","https://openalex.org/W4289341676","https://openalex.org/W4313172443","https://openalex.org/W4316022134","https://openalex.org/W4321479942","https://openalex.org/W4353071157","https://openalex.org/W4362714312","https://openalex.org/W4375928832","https://openalex.org/W4382317738"],"related_works":["https://openalex.org/W3036238356","https://openalex.org/W2603387358","https://openalex.org/W2767445978","https://openalex.org/W2570892890","https://openalex.org/W3092831610","https://openalex.org/W4206057490","https://openalex.org/W962287279","https://openalex.org/W3112734853","https://openalex.org/W2012785328","https://openalex.org/W2342558870"],"abstract_inverted_index":{"Abstract":[0],"Recently,":[1],"with":[2],"graph":[3,12,29,71,91,153],"neural":[4,30,72],"networks":[5,31],"(GNNs)":[6],"becoming":[7],"a":[8,68,84,90,115,135],"powerful":[9],"technique":[10],"for":[11,21],"representation,":[13],"many":[14],"excellent":[15],"GNN-based":[16],"models":[17],"have":[18],"been":[19],"proposed":[20,161],"processing":[22],"heterogeneous":[23,61,99,152],"graphs,":[24],"which":[25],"are":[26,94,132],"termed":[27],"Heterogeneous":[28,70],"(HGNNs).":[32],"However,":[33],"existing":[34],"HGNNs":[35],"tend":[36],"to":[37,75,107,120],"aggregate":[38,76],"information":[39,54,59],"from":[40,96],"either":[41],"direct":[42],"neighbors":[43],"or":[44],"those":[45],"connected":[46],"by":[47],"short":[48],"metapaths,":[49],"thereby":[50],"neglecting":[51],"the":[52,97,109,122,126,129,144,156],"higher-order":[53],"and":[55,89,155],"global":[56,85],"feature":[57,86],"similarity":[58,87],"in":[60],"graphs.":[62],"In":[63],"this":[64],"paper,":[65],"we":[66],"propose":[67],"Multi-View":[69],"network":[73],"(MV-HGNN)":[74],"these":[77],"information.":[78,124],"Firstly,":[79],"two":[80,104],"auxiliary":[81],"views,":[82],"specifically":[83],"view":[88],"diffusion":[92],"view,":[93],"generated":[95],"original":[98],"graph.":[100],"Secondly,":[101],"MV-HGNN":[102,162],"performs":[103],"message-passing":[105],"strategies":[106],"get":[108,121],"representation":[110],"of":[111,128],"different":[112],"views.":[113],"Subsequently,":[114,125],"transformer-based":[116],"aggregator":[117],"is":[118],"used":[119,151],"semantic":[123],"representations":[127],"three":[130,149],"views":[131],"fused":[133],"into":[134],"final":[136],"composite":[137],"representation.":[138],"We":[139],"evaluate":[140],"our":[141,160],"method":[142],"on":[143],"node":[145],"classification":[146],"task":[147],"over":[148],"commonly":[150],"datasets,":[154],"results":[157],"demonstrate":[158],"that":[159],"significantly":[163],"outperforms":[164],"state-of-the-art":[165],"baselines.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":7}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}