{"id":"https://openalex.org/W3210998975","doi":"https://doi.org/10.1145/3477050","title":"Unsupervised Adversarial Network Alignment with Reinforcement Learning","display_name":"Unsupervised Adversarial Network Alignment with Reinforcement Learning","publication_year":2021,"publication_date":"2021-10-22","ids":{"openalex":"https://openalex.org/W3210998975","doi":"https://doi.org/10.1145/3477050","mag":"3210998975"},"language":"en","primary_location":{"id":"doi:10.1145/3477050","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477050","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-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/A5044123636","display_name":"Yang Zhou","orcid":"https://orcid.org/0000-0001-7839-4933"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yang Zhou","raw_affiliation_strings":["Auburn University, Auburn, AL"],"affiliations":[{"raw_affiliation_string":"Auburn University, Auburn, AL","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024374739","display_name":"Jiaxiang Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiaxiang Ren","raw_affiliation_strings":["Auburn University, Auburn, AL"],"affiliations":[{"raw_affiliation_string":"Auburn University, Auburn, AL","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103270436","display_name":"Ruoming Jin","orcid":"https://orcid.org/0000-0003-1895-4243"},"institutions":[{"id":"https://openalex.org/I149910238","display_name":"Kent State University","ror":"https://ror.org/049pfb863","country_code":"US","type":"education","lineage":["https://openalex.org/I149910238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruoming Jin","raw_affiliation_strings":["Kent State University, Kent, OH"],"affiliations":[{"raw_affiliation_string":"Kent State University, Kent, OH","institution_ids":["https://openalex.org/I149910238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100673890","display_name":"Zijie Zhang","orcid":"https://orcid.org/0000-0003-1254-098X"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zijie Zhang","raw_affiliation_strings":["Auburn University, Auburn, AL"],"affiliations":[{"raw_affiliation_string":"Auburn University, Auburn, AL","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002007282","display_name":"Jingyi Zheng","orcid":"https://orcid.org/0000-0002-0393-0997"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingyi Zheng","raw_affiliation_strings":["Auburn University, Auburn, AL"],"affiliations":[{"raw_affiliation_string":"Auburn University, Auburn, AL","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021681759","display_name":"Zhe Jiang","orcid":"https://orcid.org/0000-0002-3576-6976"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhe Jiang","raw_affiliation_strings":["University of Florida, Gainesville, FL"],"affiliations":[{"raw_affiliation_string":"University of Florida, Gainesville, FL","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070582509","display_name":"Da Yan","orcid":"https://orcid.org/0000-0002-4653-0408"},"institutions":[{"id":"https://openalex.org/I32389192","display_name":"University of Alabama at Birmingham","ror":"https://ror.org/008s83205","country_code":"US","type":"education","lineage":["https://openalex.org/I32389192"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Da Yan","raw_affiliation_strings":["University of Alabama at Birmingham, Birmingham, AL"],"affiliations":[{"raw_affiliation_string":"University of Alabama at Birmingham, Birmingham, AL","institution_ids":["https://openalex.org/I32389192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021332177","display_name":"Dejing Dou","orcid":"https://orcid.org/0000-0003-2949-6874"},"institutions":[{"id":"https://openalex.org/I181233156","display_name":"University of Oregon","ror":"https://ror.org/0293rh119","country_code":"US","type":"education","lineage":["https://openalex.org/I181233156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dejing Dou","raw_affiliation_strings":["University of Oregon and Baidu Research, Eugene, OR"],"affiliations":[{"raw_affiliation_string":"University of Oregon and Baidu Research, Eugene, OR","institution_ids":["https://openalex.org/I181233156"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5044123636"],"corresponding_institution_ids":["https://openalex.org/I82497590"],"apc_list":null,"apc_paid":null,"fwci":1.9036,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.88479583,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"16","issue":"3","first_page":"1","last_page":"29"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998999834060669,"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":0.9998999834060669,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9947999715805054,"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":0.7466650009155273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6216521263122559},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5356712937355042},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.520223081111908},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5177878141403198},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.49067962169647217},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4819195568561554},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.47794488072395325},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.47615504264831543},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.46433863043785095},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44594278931617737},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4422231614589691},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37528762221336365},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.339951753616333},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12768563628196716}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7466650009155273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6216521263122559},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5356712937355042},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.520223081111908},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5177878141403198},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.49067962169647217},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4819195568561554},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.47794488072395325},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.47615504264831543},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.46433863043785095},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44594278931617737},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4422231614589691},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37528762221336365},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.339951753616333},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12768563628196716},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3477050","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477050","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":130,"referenced_works":["https://openalex.org/W59976168","https://openalex.org/W1487458725","https://openalex.org/W1580839497","https://openalex.org/W1974682889","https://openalex.org/W1980680715","https://openalex.org/W1987600084","https://openalex.org/W1990461944","https://openalex.org/W1993591232","https://openalex.org/W2008203432","https://openalex.org/W2013093146","https://openalex.org/W2017822917","https://openalex.org/W2025023381","https://openalex.org/W2025026529","https://openalex.org/W2027024265","https://openalex.org/W2032192707","https://openalex.org/W2044312364","https://openalex.org/W2047532797","https://openalex.org/W2055345291","https://openalex.org/W2056124433","https://openalex.org/W2058036501","https://openalex.org/W2073666908","https://openalex.org/W2077738931","https://openalex.org/W2087905099","https://openalex.org/W2089345497","https://openalex.org/W2091565802","https://openalex.org/W2102086994","https://openalex.org/W2104690989","https://openalex.org/W2106202847","https://openalex.org/W2109294083","https://openalex.org/W2119717200","https://openalex.org/W2125389028","https://openalex.org/W2125571188","https://openalex.org/W2131298592","https://openalex.org/W2135827982","https://openalex.org/W2141051060","https://openalex.org/W2145339207","https://openalex.org/W2145878380","https://openalex.org/W2165515835","https://openalex.org/W2165770179","https://openalex.org/W2167222948","https://openalex.org/W2247394048","https://openalex.org/W2251117138","https://openalex.org/W2254361149","https://openalex.org/W2257979135","https://openalex.org/W2261028762","https://openalex.org/W2293836743","https://openalex.org/W2340622084","https://openalex.org/W2374981910","https://openalex.org/W2391555403","https://openalex.org/W2536223907","https://openalex.org/W2598689838","https://openalex.org/W2602856279","https://openalex.org/W2625219738","https://openalex.org/W2744353700","https://openalex.org/W2767593692","https://openalex.org/W2774127592","https://openalex.org/W2777398797","https://openalex.org/W2789134258","https://openalex.org/W2792704806","https://openalex.org/W2793022729","https://openalex.org/W2797069615","https://openalex.org/W2800544704","https://openalex.org/W2808745848","https://openalex.org/W2811815171","https://openalex.org/W2888657195","https://openalex.org/W2891773754","https://openalex.org/W2896831016","https://openalex.org/W2896997271","https://openalex.org/W2899427634","https://openalex.org/W2902149428","https://openalex.org/W2904205492","https://openalex.org/W2906790032","https://openalex.org/W2908009723","https://openalex.org/W2911702602","https://openalex.org/W2912891989","https://openalex.org/W2913668833","https://openalex.org/W2914268208","https://openalex.org/W2914547623","https://openalex.org/W2914681971","https://openalex.org/W2918992089","https://openalex.org/W2919997401","https://openalex.org/W2920698537","https://openalex.org/W2952933729","https://openalex.org/W2953054275","https://openalex.org/W2962736495","https://openalex.org/W2962819988","https://openalex.org/W2962886429","https://openalex.org/W2963092440","https://openalex.org/W2963184995","https://openalex.org/W2964024144","https://openalex.org/W2964024205","https://openalex.org/W2964142522","https://openalex.org/W2982014123","https://openalex.org/W2983825113","https://openalex.org/W2985032289","https://openalex.org/W2985312488","https://openalex.org/W2993563049","https://openalex.org/W2997339620","https://openalex.org/W2997662094","https://openalex.org/W2998145016","https://openalex.org/W3000092338","https://openalex.org/W3003961212","https://openalex.org/W3007075380","https://openalex.org/W3007652077","https://openalex.org/W3008120872","https://openalex.org/W3008280430","https://openalex.org/W3008467772","https://openalex.org/W3008765623","https://openalex.org/W3012846134","https://openalex.org/W3013160594","https://openalex.org/W3034833075","https://openalex.org/W3035166059","https://openalex.org/W3035356453","https://openalex.org/W3046819722","https://openalex.org/W3047958086","https://openalex.org/W3072176192","https://openalex.org/W3081300507","https://openalex.org/W3093521593","https://openalex.org/W3098853476","https://openalex.org/W3103148916","https://openalex.org/W3103296165","https://openalex.org/W3127922526","https://openalex.org/W3138576342","https://openalex.org/W3155052204","https://openalex.org/W3155862922","https://openalex.org/W3156502017","https://openalex.org/W3164446158","https://openalex.org/W3187909673","https://openalex.org/W4254181784","https://openalex.org/W4376551357"],"related_works":["https://openalex.org/W2983142544","https://openalex.org/W2891059443","https://openalex.org/W4281663961","https://openalex.org/W3208888551","https://openalex.org/W4313561566","https://openalex.org/W3208386644","https://openalex.org/W4220682630","https://openalex.org/W3181622257","https://openalex.org/W4389832810","https://openalex.org/W3133533225"],"abstract_inverted_index":{"Network":[0,40],"alignment,":[1],"which":[2],"aims":[3],"at":[4],"learning":[5,38,50],"a":[6,31,62,123],"matching":[7,67,168,182],"between":[8,76],"the":[9,55,71,81,102,106,117,140,148,155,158,164,180,185,189,195,203,228,235],"same":[10,141,149],"entities":[11],"across":[12],"multiple":[13],"information":[14],"networks,":[15,78,207],"often":[16],"suffers":[17],"challenges":[18],"from":[19],"feature":[20,118],"inconsistency,":[21],"high-dimensional":[22,144],"features,":[23],"to":[24,53,69,115,135,178,202,215,233],"unstable":[25,209],"alignment":[26,34,74,95,104,110,238],"results.":[27],"This":[28,153],"article":[29],"presents":[30],"novel":[32],"network":[33,46,65,166,237],"framework,":[35],"Unsupervised":[36],"Adversarial":[37],"based":[39,175],"Alignment(UANA),":[41],"that":[42,80,212],"combines":[43],"generative":[44],"adversarial":[45,64,125,130,165],"(GAN)":[47],"and":[48,85,218,245],"reinforcement":[49],"(RL)":[51],"techniques":[52],"tackle":[54],"above":[56],"critical":[57],"challenges.":[58],"First,":[59],"we":[60,121,171],"propose":[61],"bidirectional":[63,72],"distribution":[66,167],"model":[68,133],"perform":[70],"cross-network":[73,94],"translations":[75,156],"two":[77,93,137,161],"such":[79],"distributions":[82,159],"of":[83,108,139,157,160,188,231,242],"real":[84],"translated":[86],"networks":[87,162,199],"completely":[88],"overlap":[89],"together.":[90],"In":[91],"addition,":[92],"translation":[96],"cycles":[97],"are":[98],"constructed":[99],"for":[100],"training":[101],"unsupervised":[103,236],"without":[105,208],"need":[107],"prior":[109],"knowledge.":[111],"Second,":[112],"in":[113,163,184,197,205,240],"order":[114],"address":[116,234],"inconsistency":[119],"issue,":[120],"integrate":[122],"dual":[124],"autoencoder":[126],"module":[127],"with":[128,143],"an":[129,173],"binary":[131],"classification":[132],"together":[134],"project":[136],"copies":[138],"vertices":[142,196,204],"inconsistent":[145],"features":[146,217],"into":[147],"low-dimensional":[150],"embedding":[151],"space.":[152],"facilitates":[154],"model.":[169],"Finally,":[170],"develop":[172],"RL":[174],"optimization":[176],"approach":[177],"solve":[179],"vertex":[181],"problem":[183],"discrete":[186],"space":[187],"GAN":[190],"model,":[191],"i.e.,":[192],"directly":[193],"select":[194],"target":[198],"most":[200],"relevant":[201],"source":[206],"similarity":[210,219],"computation":[211],"is":[213],"sensitive":[214],"discriminative":[216],"metrics.":[220],"Extensive":[221],"evaluation":[222],"on":[223],"real-world":[224],"graph":[225],"datasets":[226],"demonstrates":[227],"outstanding":[229],"capability":[230],"UANA":[232],"problem,":[239],"terms":[241],"both":[243],"effectiveness":[244],"scalability.":[246]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}