{"id":"https://openalex.org/W3008142012","doi":"https://doi.org/10.1109/bigdata47090.2019.9005458","title":"Unsupervised Author Disambiguation using Heterogeneous Graph Convolutional Network Embedding","display_name":"Unsupervised Author Disambiguation using Heterogeneous Graph Convolutional Network Embedding","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3008142012","doi":"https://doi.org/10.1109/bigdata47090.2019.9005458","mag":"3008142012"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata47090.2019.9005458","doi":"https://doi.org/10.1109/bigdata47090.2019.9005458","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9005458","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"IEEE International Conference on Big Data (BigData)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5052483692","display_name":"Ziyue Qiao","orcid":"https://orcid.org/0000-0002-9485-4861","observed_orcids":["https://orcid.org/0000-0002-9485-4861"]},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210108629","display_name":"Computer Network Information Center","ror":"https://ror.org/01s0wyf50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210108629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyue Qiao","raw_affiliation_strings":["Computer Network Information Center, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Network Information Center, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210108629"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068395875","display_name":"Yi Du","orcid":"https://orcid.org/0000-0003-3121-8937","observed_orcids":["https://orcid.org/0000-0003-3121-8937","https://orcid.org/0009-0000-1012-067X"]},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210108629","display_name":"Computer Network Information Center","ror":"https://ror.org/01s0wyf50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210108629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Du","raw_affiliation_strings":["Computer Network Information Center, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Network Information Center, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210108629"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032187620","display_name":"Yanjie Fu","orcid":"https://orcid.org/0000-0002-1767-8024","observed_orcids":["https://orcid.org/0000-0002-1767-8024"]},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanjie Fu","raw_affiliation_strings":["Department of Computer Science, University of Central Florida, Orlando, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Central Florida, Orlando, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100399584","display_name":"Pengfei Wang","orcid":"https://orcid.org/0000-0003-1075-0684","observed_orcids":["https://orcid.org/0000-0003-1075-0684","https://orcid.org/0000-0001-8172-5270"]},"institutions":[{"id":"https://openalex.org/I4405281272","display_name":"Alibaba DAMO Academy (China)","ror":"https://ror.org/0448px924","country_code":"CN","type":"company","lineage":["https://openalex.org/I4405281272","https://openalex.org/I45928872"]},{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Wang","raw_affiliation_strings":["Alibaba DAMO Academy, Alibaba Group, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba DAMO Academy, Alibaba Group, China","institution_ids":["https://openalex.org/I4405281272","https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065865669","display_name":"Yuanchun Zhou","orcid":"https://orcid.org/0000-0003-2144-1131","observed_orcids":["https://orcid.org/0000-0003-2144-1131"]},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210108629","display_name":"Computer Network Information Center","ror":"https://ror.org/01s0wyf50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210108629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanchun Zhou","raw_affiliation_strings":["Computer Network Information Center, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Network Information Center, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210108629"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.9701,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.94663371,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"910","last_page":"919"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.5228999853134155,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.5228999853134155,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10102","display_name":"scientometrics and bibliometrics research","score":0.23989999294281006,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14330","display_name":"Library Science and Information Systems","score":0.07940000295639038,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/author-name-disambiguation","display_name":"author name disambiguation","score":0.9800000190734863},{"id":"https://openalex.org/keywords/name-disambiguation","display_name":"name disambiguation","score":0.8360000252723694},{"id":"https://openalex.org/keywords/heterogeneous-graph-convolutional-network","display_name":"heterogeneous graph convolutional network","score":0.7070000171661377},{"id":"https://openalex.org/keywords/network-embedding","display_name":"graph embedding","score":0.8100000023841858},{"id":"https://openalex.org/keywords/publication-networks","display_name":"publication networks","score":0.6150000095367432},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"unsupervised learning","score":0.9139999747276306},{"id":"https://openalex.org/keywords/digital-libraries","display_name":"digital libraries","score":0.7120000123977661},{"id":"https://openalex.org/keywords/incremental-retraining","display_name":"incremental retraining","score":0.5690000057220459},{"id":"https://openalex.org/keywords/entity-resolution","display_name":"entity resolution","score":0.31200000643730164}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.864357590675354},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6073366403579712},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.56415194272995},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.4979236125946045},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4963276982307434},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.48865845799446106},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.471591591835022},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4547150135040283},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44940775632858276},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.42190465331077576},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4124677777290344},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.4121028780937195},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.41140714287757874},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2632001042366028},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.18281272053718567},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.14699971675872803},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata47090.2019.9005458","doi":"https://doi.org/10.1109/bigdata47090.2019.9005458","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9005458","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"IEEE International Conference on Big Data (BigData)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/4","display_name":"Quality education"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W86887328","https://openalex.org/W103340358","https://openalex.org/W295894637","https://openalex.org/W809740722","https://openalex.org/W1607091478","https://openalex.org/W1614298861","https://openalex.org/W1888005072","https://openalex.org/W1907949118","https://openalex.org/W1964879903","https://openalex.org/W2052261215","https://openalex.org/W2112564748","https://openalex.org/W2120623936","https://openalex.org/W2131744502","https://openalex.org/W2145893390","https://openalex.org/W2147347208","https://openalex.org/W2151936673","https://openalex.org/W2153579005","https://openalex.org/W2154851992","https://openalex.org/W2162337786","https://openalex.org/W2415243320","https://openalex.org/W2519887557","https://openalex.org/W2566927129","https://openalex.org/W2602953083","https://openalex.org/W2604314403","https://openalex.org/W2612305609","https://openalex.org/W2624431344","https://openalex.org/W2743104969","https://openalex.org/W2767518867","https://openalex.org/W2767774008","https://openalex.org/W2772492596","https://openalex.org/W2783599637","https://openalex.org/W2809279178","https://openalex.org/W2895941969","https://openalex.org/W2962756421","https://openalex.org/W2962767366","https://openalex.org/W2964521186","https://openalex.org/W2965857891","https://openalex.org/W2968872525","https://openalex.org/W6610517080"],"related_works":["https://openalex.org/W4405346982","https://openalex.org/W2974633336","https://openalex.org/W1982912387","https://openalex.org/W4407953260","https://openalex.org/W2974359404","https://openalex.org/W4366310319","https://openalex.org/W3199078577","https://openalex.org/W2968872525","https://openalex.org/W4220733515","https://openalex.org/W2895941969"],"abstract_inverted_index":{"People":[0],"share":[1],"same":[2,30],"names":[3,68],"in":[4,48],"real":[5],"world.":[6],"When":[7],"a":[8,20,117,132,168],"digital":[9,49],"library":[10],"user":[11],"searches":[12],"for":[13,136,173,226],"an":[14,37,64],"author":[15,55,121,227],"name,":[16],"he":[17],"may":[18],"see":[19],"mixture":[21],"of":[22,44,54,189],"publications":[23,60,206],"by":[24],"different":[25,74],"authors":[26],"who":[27],"have":[28,82],"the":[29,42,180,187],"name.":[31,139],"Making":[32],"distinctions":[33],"between":[34],"them":[35],"is":[36,57],"important":[38],"prerequisite":[39],"to":[40,58,63,73,85,160],"improve":[41],"quality":[43],"services":[45],"and":[46,99,119,156,183,198],"contents":[47],"libraries.":[50],"The":[51],"general":[52],"task":[53,203],"disambiguation":[56,122,175,202],"associate":[59],"which":[61,124],"belong":[62],"identical":[65],"name":[66,174],"or":[67],"with":[69],"highly":[70],"similar":[71],"spellings":[72],"people":[75],"entities.":[76],"In":[77,112],"recent":[78],"years,":[79],"many":[80],"researches":[81],"been":[83],"conducted":[84],"solve":[86],"this":[87,113],"challenging":[88],"task.":[89],"However,":[90],"some":[91],"works":[92,107],"rely":[93],"heavily":[94],"on":[95,200,212],"external":[96],"knowledge":[97],"bases":[98],"manually":[100],"annotated":[101],"data.":[102,128],"Some":[103],"unsupervised":[104],"learning":[105],"based":[106],"require":[108,186],"complex":[109],"feature":[110],"engineering.":[111],"paper,":[114],"we":[115,141,166],"propose":[116,167],"novel":[118],"efficient":[120],"framework":[123,193,218],"needs":[125],"no":[126],"labeled":[127],"We":[129],"first":[130],"construct":[131],"publication":[133,162],"heterogeneous":[134,145],"network":[135,148],"each":[137],"ambiguous":[138],"Then,":[140],"use":[142],"our":[143,217],"proposed":[144],"graph":[146,154,169],"convolutional":[147],"embedding":[149],"method":[150,172],"that":[151,176,216],"encodes":[152],"both":[153],"structure":[155],"node":[157],"attribute":[158],"information":[159],"learn":[161],"representations.":[163],"After":[164],"that,":[165],"enhanced":[170],"clustering":[171,181],"can":[177,194],"greatly":[178],"accelerate":[179],"process":[182],"need":[184],"not":[185],"number":[188],"distinct":[190],"persons.":[191],"Our":[192],"be":[195],"continually":[196],"retrained":[197],"applied":[199],"incremental":[201],"when":[204],"new":[205],"are":[207],"put":[208],"in.":[209],"Experimental":[210],"results":[211],"two":[213],"datasets":[214],"show":[215],"clearly":[219],"performs":[220],"better":[221],"than":[222],"several":[223],"state-of-the-art":[224],"methods":[225],"disambiguation.":[228]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2026-10-29T09:56:32.521200","created_date":"2020-03-06T00:00:00"}