{"id":"https://openalex.org/W3080590811","doi":"https://doi.org/10.1145/3394486.3403169","title":"HGCN: A Heterogeneous Graph Convolutional Network-Based Deep Learning Model Toward Collective Classification","display_name":"HGCN: A Heterogeneous Graph Convolutional Network-Based Deep Learning Model Toward Collective Classification","publication_year":2020,"publication_date":"2020-08-20","ids":{"openalex":"https://openalex.org/W3080590811","doi":"https://doi.org/10.1145/3394486.3403169","mag":"3080590811"},"language":"en","primary_location":{"id":"doi:10.1145/3394486.3403169","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394486.3403169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining","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/A5101402756","display_name":"Zhihua Zhu","orcid":"https://orcid.org/0000-0002-9240-2554"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhihua Zhu","raw_affiliation_strings":["University of Chinese Academy of Sciences &amp; Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences &amp; Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046658556","display_name":"Xinxin Fan","orcid":"https://orcid.org/0000-0002-6659-7431"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinxin Fan","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025911407","display_name":"Xiaokai Chu","orcid":"https://orcid.org/0000-0001-7407-2005"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaokai Chu","raw_affiliation_strings":["University of Chinese Academy of Sciences &amp; Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences &amp; Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102995513","display_name":"Jingping Bi","orcid":"https://orcid.org/0000-0001-7858-4980"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingping Bi","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101402756"],"corresponding_institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":4.3297,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.95325417,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1161","last_page":"1171"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9951000213623047,"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":0.9919000267982483,"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":0.7714495658874512},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5171636939048767},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49274924397468567},{"id":"https://openalex.org/keywords/heterogeneous-network","display_name":"Heterogeneous network","score":0.4791768789291382},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4789179563522339},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.4755544364452362},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4705491364002228},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37146857380867004}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7714495658874512},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5171636939048767},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49274924397468567},{"id":"https://openalex.org/C158207573","wikidata":"https://www.wikidata.org/wiki/Q5747224","display_name":"Heterogeneous network","level":4,"score":0.4791768789291382},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4789179563522339},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.4755544364452362},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4705491364002228},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37146857380867004},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3394486.3403169","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394486.3403169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1548361610","https://openalex.org/W1908728294","https://openalex.org/W1975563293","https://openalex.org/W2097117768","https://openalex.org/W2123827533","https://openalex.org/W2152755144","https://openalex.org/W2153959628","https://openalex.org/W2162630660","https://openalex.org/W2163776610","https://openalex.org/W2377398322","https://openalex.org/W2468907370","https://openalex.org/W2604934021","https://openalex.org/W2743104969","https://openalex.org/W2767774008","https://openalex.org/W2789042518","https://openalex.org/W2809435521","https://openalex.org/W2963858333","https://openalex.org/W2963920355","https://openalex.org/W2964311892","https://openalex.org/W3102205844"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W4405331580","https://openalex.org/W4311804456","https://openalex.org/W1987484445","https://openalex.org/W2623658258","https://openalex.org/W2143413548","https://openalex.org/W1969219540","https://openalex.org/W2023946029"],"abstract_inverted_index":{"Collective":[0],"classification,":[1],"as":[2,50],"an":[3],"important":[4],"technique":[5],"to":[6,11,81,124,139,154,165],"study":[7],"networked":[8],"data,":[9],"aims":[10],"exploit":[12],"the":[13,26,45,63,84,99,103,113,126,142,150,170,181,188],"label":[14],"autocorrelation":[15],"for":[16],"a":[17,70,135],"group":[18],"of":[19,28,47,130,183],"inter-connected":[20],"entities":[21,85],"with":[22,118,187],"complex":[23,51],"dependencies.":[24],"As":[25],"emergence":[27],"various":[29],"heterogeneous":[30,72,108,136],"information":[31],"networks":[32],"(HINs),":[33],"collective":[34,184],"classification":[35,185],"at":[36],"present":[37],"is":[38],"confronting":[39],"several":[40],"severe":[41],"challenges":[42],"stemming":[43],"from":[44,102,152],"heterogeneity":[46,153],"HINs,":[48],"such":[49],"relational":[52,59,128],"hierarchy,":[53],"potential":[54],"incompatible":[55],"semantics":[56,129],"and":[57],"node-context":[58],"semantics.":[60],"To":[61],"address":[62],"challenges,":[64],"in":[65,86,147],"this":[66],"paper,":[67],"we":[68,133,157],"propose":[69,134],"novel":[71],"graph":[73,137],"convolutional":[74],"network-based":[75],"deep":[76],"learning":[77],"model,":[78],"called":[79],"HGCN,":[80,169],"collectively":[82],"categorize":[83],"HINs.":[87],"Our":[88],"work":[89],"involves":[90],"three":[91],"primary":[92],"contributions:":[93],"i)":[94],"HGCN":[95,177],"not":[96],"only":[97],"learns":[98],"latent":[100],"relations":[101,117],"relation-sophisticated":[104],"HINs":[105,144],"via":[106],"multi-layer":[107],"convolutions,":[109],"but":[110],"also":[111],"captures":[112],"semantic":[114],"incompatibility":[115],"among":[116],"properly-learned":[119],"edge-level":[120],"filter":[121],"parameters;":[122],"ii)":[123],"preserve":[125],"fine-grained":[127],"different-type":[131],"nodes,":[132],"convolution":[138],"directly":[140],"tackle":[141],"original":[143],"without":[145],"any":[146],"advance":[148],"transforming":[149],"network":[151],"homogeneity;":[155],"iii)":[156],"perform":[158],"extensive":[159],"experiments":[160],"using":[161],"four":[162],"real-world":[163],"datasets":[164],"validate":[166],"our":[167,175],"proposed":[168,176],"multi-facet":[171],"results":[172],"show":[173],"that":[174],"can":[178],"significantly":[179],"improve":[180],"performance":[182],"compared":[186],"state-of-the-art":[189],"baseline":[190],"methods.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
