{"id":"https://openalex.org/W3210196152","doi":"https://doi.org/10.1145/3459637.3482228","title":"Adversarial Separation Network for Cross-Network Node Classification","display_name":"Adversarial Separation Network for Cross-Network Node Classification","publication_year":2021,"publication_date":"2021-10-26","ids":{"openalex":"https://openalex.org/W3210196152","doi":"https://doi.org/10.1145/3459637.3482228","mag":"3210196152"},"language":"en","primary_location":{"id":"doi:10.1145/3459637.3482228","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3459637.3482228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"},"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/A5100362531","display_name":"Xiaowen Zhang","orcid":"https://orcid.org/0000-0003-3825-6995"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowen Zhang","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076208664","display_name":"Yuntao Du","orcid":"https://orcid.org/0009-0001-4709-4003"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuntao Du","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032781776","display_name":"Rongbiao Xie","orcid":"https://orcid.org/0000-0002-2129-9094"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongbiao Xie","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044733681","display_name":"Chongjun Wang","orcid":"https://orcid.org/0000-0002-2628-7033"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chongjun Wang","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":4.1021,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.95377883,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2618","last_page":"2626"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9994999766349792,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9994999766349792,"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":0.9696000218391418,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.961899995803833,"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":0.78162682056427},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5134986042976379},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4921206831932068},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.48771366477012634},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44006478786468506},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.4349731206893921},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4194895625114441},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3446209132671356},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34278786182403564},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.325237512588501},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.19712066650390625},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10018306970596313}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.78162682056427},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5134986042976379},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4921206831932068},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.48771366477012634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44006478786468506},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.4349731206893921},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4194895625114441},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3446209132671356},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34278786182403564},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.325237512588501},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.19712066650390625},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10018306970596313},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3459637.3482228","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3459637.3482228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Information &amp; Knowledge Management","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":27,"referenced_works":["https://openalex.org/W1533841329","https://openalex.org/W1731081199","https://openalex.org/W2022322548","https://openalex.org/W2030252673","https://openalex.org/W2101940264","https://openalex.org/W2103519186","https://openalex.org/W2124021496","https://openalex.org/W2154851992","https://openalex.org/W2165698076","https://openalex.org/W2187089797","https://openalex.org/W2525579820","https://openalex.org/W2583803680","https://openalex.org/W2593390416","https://openalex.org/W2618530766","https://openalex.org/W2788284887","https://openalex.org/W2808466528","https://openalex.org/W2963522845","https://openalex.org/W2971641123","https://openalex.org/W2990138404","https://openalex.org/W2993842823","https://openalex.org/W2999817249","https://openalex.org/W3033623365","https://openalex.org/W3101886298","https://openalex.org/W3104097132","https://openalex.org/W4232932184","https://openalex.org/W4298289240","https://openalex.org/W6637618735"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W4286629047","https://openalex.org/W4306321456","https://openalex.org/W4285260836","https://openalex.org/W3046775127","https://openalex.org/W2353865532","https://openalex.org/W2951545510","https://openalex.org/W2163309909"],"abstract_inverted_index":{"Node":[0],"classification":[1,193],"is":[2,134],"an":[3],"important":[4],"yet":[5],"challenging":[6],"task":[7],"in":[8,89,127,145,190],"various":[9],"network":[10,29,47,129,156,164],"applications,":[11],"and":[12,49,70,107,114,130,151],"many":[13],"effective":[14,102],"methods":[15],"have":[16,42],"been":[17,43],"developed":[18],"for":[19,24,52],"a":[20,94,131],"single":[21,28],"network.":[22],"While":[23],"cross-network":[25,53,191],"scenarios,":[26],"neither":[27],"embedding":[30,48,165],"nor":[31],"traditional":[32],"domain":[33,50,168],"adaptation":[34,51,169],"can":[35],"directly":[36],"solve":[37],"the":[38,64,80,86,124,138,172],"task.":[39],"Existing":[40],"approaches":[41],"proposed":[44,185],"to":[45,100,122,136,154,170],"combine":[46,149],"node":[54,103,192],"classification.":[55],"However,":[56],"they":[57,71],"only":[58,72],"focus":[59],"on":[60,179],"domain-invariant":[61,139],"features,":[62],"ignoring":[63,79],"individual":[65],"features":[66,126,141],"of":[67],"each":[68,128,146],"network,":[69],"utilize":[73],"1-hop":[74],"neighborhood":[75],"information":[76,158],"(local":[77],"consistency),":[78],"global":[81,152],"consistency":[82,153],"information.":[83,116],"To":[84],"tackle":[85],"above":[87],"problems,":[88],"this":[90],"paper,":[91],"we":[92,148],"propose":[93],"novel":[95],"model,":[96],"Adversarial":[97],"Separation":[98],"Network(ASN),":[99],"learn":[101],"representations":[104],"between":[105],"source":[106],"target":[108],"networks.":[109,143],"We":[110],"explicitly":[111],"separate":[112],"domain-private":[113,118],"domain-shared":[115],"Two":[117],"encoders":[119],"are":[120],"employed":[121,135],"extract":[123,137],"domain-specific":[125],"shared":[132,140],"encoder":[133],"across":[142,175],"Moreover,":[144],"encoder,":[147],"local":[150],"capture":[155],"topology":[157],"more":[159],"comprehensively.":[160],"ASN":[161],"integrates":[162],"deep":[163],"with":[166,196],"adversarial":[167],"reduce":[171],"distribution":[173],"discrepancy":[174],"domains.":[176],"Extensive":[177],"experiments":[178],"real-world":[180],"datasets":[181],"show":[182],"that":[183],"our":[184],"model":[186],"achieves":[187],"state-of-the-art":[188],"performance":[189],"tasks":[194],"compared":[195],"existing":[197],"algorithms.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":2}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
