{"id":"https://openalex.org/W2912240430","doi":"https://doi.org/10.1145/3308558.3313445","title":"Adversarial Training Methods for Network Embedding","display_name":"Adversarial Training Methods for Network Embedding","publication_year":2019,"publication_date":"2019-05-13","ids":{"openalex":"https://openalex.org/W2912240430","doi":"https://doi.org/10.1145/3308558.3313445","mag":"2912240430"},"language":"en","primary_location":{"id":"doi:10.1145/3308558.3313445","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3313445","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The World Wide Web Conference","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3308558.3313445","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048783161","display_name":"Quanyu Dai","orcid":"https://orcid.org/0000-0001-7578-2738"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Quanyu Dai","raw_affiliation_strings":["The Hong Kong Polytechnic University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114375282","display_name":"Xiao Shen","orcid":"https://orcid.org/0000-0003-0937-049X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiao Shen","raw_affiliation_strings":["The Hong Kong Polytechnic University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425225","display_name":"Liang Zhang","orcid":"https://orcid.org/0000-0002-5805-7099"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Zhang","raw_affiliation_strings":["JD.com, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JD.com, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430015","display_name":"Q. Li","orcid":"https://orcid.org/0000-0002-8290-0517"},"institutions":[{"id":"https://openalex.org/I2801745840","display_name":"Kwai Chung Hospital","ror":"https://ror.org/05kz7bw59","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I1294586568","https://openalex.org/I2801745840"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Li","raw_affiliation_strings":["Y-Lab, Kwai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Y-Lab, Kwai, China","institution_ids":["https://openalex.org/I2801745840"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100411794","display_name":"Dan Wang","orcid":"https://orcid.org/0000-0002-0921-2726"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Dan Wang","raw_affiliation_strings":["The Hong Kong Polytechnic University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University, China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":106,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"329","last_page":"339"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9976999759674072,"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"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9840999841690063,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7554701566696167},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7374849319458008},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.618386447429657},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5803018808364868},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5501068234443665},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5500603318214417},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.49201294779777527},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37349820137023926},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.28237590193748474}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7554701566696167},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7374849319458008},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.618386447429657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5803018808364868},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5501068234443665},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5500603318214417},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.49201294779777527},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37349820137023926},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.28237590193748474}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3308558.3313445","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3313445","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The World Wide Web Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/81231","is_oa":true,"landing_page_url":"http://hdl.handle.net/10397/81231","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-167986","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-167986","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":{"id":"doi:10.1145/3308558.3313445","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3313445","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The World Wide Web Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1888005072","https://openalex.org/W1945616565","https://openalex.org/W1979104937","https://openalex.org/W2001141328","https://openalex.org/W2015953751","https://openalex.org/W2052261215","https://openalex.org/W2053186076","https://openalex.org/W2090891622","https://openalex.org/W2108614537","https://openalex.org/W2125031621","https://openalex.org/W2142535891","https://openalex.org/W2153579005","https://openalex.org/W2153959628","https://openalex.org/W2154851992","https://openalex.org/W2162630660","https://openalex.org/W2387462954","https://openalex.org/W2393319904","https://openalex.org/W2415243320","https://openalex.org/W2604942799","https://openalex.org/W2739748921","https://openalex.org/W2739865319","https://openalex.org/W2768914708","https://openalex.org/W2788103932","https://openalex.org/W2798868970","https://openalex.org/W2799420921","https://openalex.org/W2803831897","https://openalex.org/W2808987817","https://openalex.org/W2892247084","https://openalex.org/W2896852898","https://openalex.org/W2927299114","https://openalex.org/W2962756421","https://openalex.org/W2962904108","https://openalex.org/W2963083752","https://openalex.org/W2963169753","https://openalex.org/W2963373786","https://openalex.org/W3001645704","https://openalex.org/W3093419064","https://openalex.org/W3098276446","https://openalex.org/W3104097132","https://openalex.org/W3105705953","https://openalex.org/W4294170691","https://openalex.org/W4320013936","https://openalex.org/W6718379498","https://openalex.org/W6736262870","https://openalex.org/W6741832134"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W4378510483","https://openalex.org/W2932872266"],"abstract_inverted_index":{"Network":[0],"Embedding":[1],"is":[2,141],"the":[3,47,57,61,99,137,148,160,174,200,203,207,228,234,246,249],"task":[4],"of":[5,20,30,49,87,103,163,202,248],"learning":[6,63,79],"continuous":[7],"node":[8,27,164,243],"representations":[9],"for":[10,231],"networks,":[11],"which":[12,81,177],"has":[13],"been":[14],"shown":[15],"effective":[16,116,167],"in":[17,41,52,60,147,182,206,233,238],"a":[18,84,112,169],"variety":[19],"tasks":[21],"such":[22],"as":[23,127,168,227],"link":[24,240],"prediction":[25,241],"and":[26,39,56,96,115,132,223,242],"classification.":[28],"Most":[29,65],"existing":[31,220],"works":[32],"aim":[33,109],"to":[34,76,110,123,128,218],"preserve":[35],"different":[36],"network":[37,124],"structures":[38],"properties":[40],"low-dimensional":[42],"embedding":[43,62,78,88,125,149,221],"vectors,":[44],"while":[45],"neglecting":[46],"existence":[48],"noisy":[50],"information":[51],"many":[53,219],"real-world":[54,184],"networks":[55,69],"overfitting":[58],"issue":[59,176],"process.":[64],"recently,":[66],"generative":[67],"adversarial":[68,121,138,145,195,204],"(GANs)":[70],"based":[71],"regularization":[72,118,213],"methods":[73,91,214],"are":[74],"exploited":[75],"regularize":[77],"process,":[80],"can":[82,215],"encourage":[83],"global":[85],"smoothness":[86],"vectors.":[89],"These":[90,211],"have":[92],"very":[93],"complicated":[94],"architecture":[95],"suffer":[97],"from":[98,173],"well-recognized":[100],"non-convergence":[101],"problem":[102],"GANs.":[104],"In":[105],"this":[106,188],"paper,":[107],"we":[108,190,224],"introduce":[111],"more":[113],"succinct":[114],"local":[117],"method,":[119],"namely":[120],"training,":[122],"so":[126],"achieve":[129],"model":[130,230],"robustness":[131],"better":[133],"generalization":[134],"performance.":[135],"Firstly,":[136],"training":[139,196],"method":[140,197],"applied":[142,217],"by":[143,198],"defining":[144],"perturbations":[146],"space":[150],"with":[151],"an":[152,193],"adaptive":[153],"L2":[154],"norm":[155],"constraint":[156],"that":[157],"depends":[158],"on":[159],"connectivity":[161],"pattern":[162],"pairs.":[165],"Though":[166],"regularizer,":[170],"it":[171],"suffers":[172],"interpretability":[175],"may":[178],"hinder":[179],"its":[180],"application":[181],"certain":[183],"scenarios.":[185],"To":[186],"improve":[187],"strategy,":[189],"further":[191],"propose":[192],"interpretable":[194],"enforcing":[199],"reconstruction":[201],"examples":[205],"discrete":[208],"graph":[209],"domain.":[210],"two":[212],"be":[216],"models,":[222],"take":[225],"DeepWalk":[226],"base":[229],"illustration":[232],"paper.":[235],"Empirical":[236],"evaluations":[237],"both":[239],"classification":[244],"demonstrate":[245],"effectiveness":[247],"proposed":[250],"methods.":[251]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":28},{"year":2020,"cited_by_count":25},{"year":2019,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
