{"id":"https://openalex.org/W4210662925","doi":"https://doi.org/10.1109/globecom46510.2021.9685924","title":"MHCNC: A Novel Framework for Multi-Source Heterogeneous Cross-Network Node Classification","display_name":"MHCNC: A Novel Framework for Multi-Source Heterogeneous Cross-Network Node Classification","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W4210662925","doi":"https://doi.org/10.1109/globecom46510.2021.9685924"},"language":"en","primary_location":{"id":"doi:10.1109/globecom46510.2021.9685924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom46510.2021.9685924","pdf_url":null,"source":{"id":"https://openalex.org/S4363607714","display_name":"2021 IEEE Global Communications Conference (GLOBECOM)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-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/A5032239293","display_name":"Hongwei Yang","orcid":"https://orcid.org/0000-0002-8386-0131"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongwei Yang","raw_affiliation_strings":["School of Cyberspace Science, Harbin Institute of Technology,Harbin,China,150001"],"affiliations":[{"raw_affiliation_string":"School of Cyberspace Science, Harbin Institute of Technology,Harbin,China,150001","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048182595","display_name":"Hui He","orcid":"https://orcid.org/0000-0002-6494-775X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui He","raw_affiliation_strings":["School of Cyberspace Science, Harbin Institute of Technology,Harbin,China,150001"],"affiliations":[{"raw_affiliation_string":"School of Cyberspace Science, Harbin Institute of Technology,Harbin,China,150001","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085221201","display_name":"Weizhe Zhang","orcid":"https://orcid.org/0000-0003-4783-876X"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weizhe Zhang","raw_affiliation_strings":["School of Cyberspace Science, Harbin Institute of Technology,Harbin,China,150001","Pengcheng Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Cyberspace Science, Harbin Institute of Technology,Harbin,China,150001","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Pengcheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089412213","display_name":"Tao Li","orcid":"https://orcid.org/0000-0002-7089-624X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Li","raw_affiliation_strings":["School of Cyberspace Science, Harbin Institute of Technology,Harbin,China,150001"],"affiliations":[{"raw_affiliation_string":"School of Cyberspace Science, Harbin Institute of Technology,Harbin,China,150001","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5032239293"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.1257,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41260049,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9979000091552734,"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":0.9979000091552734,"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":0.993399977684021,"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/T12676","display_name":"Machine Learning and ELM","score":0.9524000287055969,"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":0.8023276925086975},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5642044544219971},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5372521877288818},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5338624119758606},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5195203423500061},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.49768975377082825},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.48849499225616455},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4675397276878357},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45401090383529663},{"id":"https://openalex.org/keywords/multi-source","display_name":"Multi-source","score":0.45342162251472473},{"id":"https://openalex.org/keywords/heterogeneous-network","display_name":"Heterogeneous network","score":0.43143728375434875},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4090292453765869},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39014631509780884},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32041996717453003},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.21960479021072388},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.08336997032165527}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8023276925086975},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5642044544219971},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5372521877288818},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5338624119758606},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5195203423500061},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.49768975377082825},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.48849499225616455},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4675397276878357},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45401090383529663},{"id":"https://openalex.org/C2780665216","wikidata":"https://www.wikidata.org/wiki/Q6934498","display_name":"Multi-source","level":2,"score":0.45342162251472473},{"id":"https://openalex.org/C158207573","wikidata":"https://www.wikidata.org/wiki/Q5747224","display_name":"Heterogeneous network","level":4,"score":0.43143728375434875},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4090292453765869},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39014631509780884},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32041996717453003},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.21960479021072388},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.08336997032165527},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom46510.2021.9685924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom46510.2021.9685924","pdf_url":null,"source":{"id":"https://openalex.org/S4363607714","display_name":"2021 IEEE Global Communications Conference (GLOBECOM)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.75,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G5594798832","display_name":null,"funder_award_id":"61872110","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6680235937","display_name":null,"funder_award_id":"2020YFB1406902","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1994348648","https://openalex.org/W2030252673","https://openalex.org/W2147034979","https://openalex.org/W2154851992","https://openalex.org/W2165698076","https://openalex.org/W2551868040","https://openalex.org/W2602480929","https://openalex.org/W2740997336","https://openalex.org/W2891975605","https://openalex.org/W2912990207","https://openalex.org/W2962847895","https://openalex.org/W2963384853","https://openalex.org/W2963506806","https://openalex.org/W2964015378","https://openalex.org/W2971641123","https://openalex.org/W2981720610","https://openalex.org/W2997725759","https://openalex.org/W2997964288","https://openalex.org/W3030734823","https://openalex.org/W3033623365","https://openalex.org/W3101886298","https://openalex.org/W3104097132","https://openalex.org/W3212464519","https://openalex.org/W4292363360","https://openalex.org/W4294558607","https://openalex.org/W4297733535","https://openalex.org/W6726873649","https://openalex.org/W6738964360","https://openalex.org/W6749061179","https://openalex.org/W6754770232","https://openalex.org/W6758844414","https://openalex.org/W6767628209","https://openalex.org/W6779492981"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W3208297503","https://openalex.org/W3119773509","https://openalex.org/W2889153461","https://openalex.org/W2964117661","https://openalex.org/W4388405611","https://openalex.org/W2619127353","https://openalex.org/W2440023763","https://openalex.org/W2962474440","https://openalex.org/W2576964996"],"abstract_inverted_index":{"In":[0,86,117,149],"this":[1,87],"study,":[2,88],"we":[3,89,119,151,169],"consider":[4],"the":[5,15,42,45,51,66,78,122,128,134,144,161,178,196],"issue":[6],"of":[7,72,80,181,202],"multi-source":[8,57,81,92,101],"heterogeneous":[9,82,93,102,123],"cross-network":[10,35,83,94],"node":[11,36,84,95,115],"classification,":[12],"which":[13,99],"employs":[14],"plentiful":[16],"labeled":[17],"information":[18],"from":[19],"multiple":[20,129],"source":[21,46,130],"networks":[22,49,190],"to":[23,64,77,110,137,142,159],"assist":[24],"in":[25,29,164,200],"classifying":[26],"unlabeled":[27,162],"nodes":[28,163],"a":[30,91,165,171],"target":[31,48,135,166],"network.":[32,167],"Traditional":[33],"single-source":[34],"classification":[37,96,179,203],"methods":[38,60,199],"mainly":[39],"focus":[40],"on":[41,177,187],"scenario":[43],"where":[44],"and":[47,113],"share":[50],"same":[52],"feature":[53,124,131,140],"spaces.":[54],"The":[55],"current":[56],"transfer":[58,103],"learning":[59,104],"are":[61],"generally":[62],"unable":[63],"model":[65,173],"network's":[67],"structural":[68],"information.":[69],"Thus,":[70],"both":[71],"them":[73],"cannot":[74],"be":[75],"applied":[76],"problem":[79],"classification.":[85],"introduce":[90],"(MHCNC)":[97],"framework,":[98],"integrates":[100],"with":[105],"graph":[106],"convolutional":[107,156],"neural":[108,157],"network":[109,136,158],"learn":[111],"network-invariant":[112],"label-discriminative":[114],"representations.":[116],"MHCNC,":[118],"first":[120],"devise":[121],"transformation":[125],"that":[126,192],"transforms":[127],"spaces":[132],"onto":[133],"obtain":[138],"new":[139],"representations":[141],"mitigate":[143],"distribution":[145],"discrepancy":[146],"between":[147],"networks.":[148],"addition,":[150],"incorporate":[152],"an":[153],"inductive":[154],"learning-based":[155],"classify":[160],"Moreover,":[168],"propose":[170],"novel":[172],"fusion":[174],"strategy":[175],"based":[176],"weight":[180],"each":[182],"model.":[183],"Comprehensive":[184],"experiments":[185],"conducted":[186],"real-world":[188],"social":[189],"verify":[191],"our":[193],"algorithms":[194],"outperform":[195],"most":[197],"advanced":[198],"terms":[201],"accuracy.":[204]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}