{"id":"https://openalex.org/W3211043432","doi":"https://doi.org/10.1145/3477049","title":"A Normalizing Flow-Based Co-Embedding Model for Attributed Networks","display_name":"A Normalizing Flow-Based Co-Embedding Model for Attributed Networks","publication_year":2021,"publication_date":"2021-10-22","ids":{"openalex":"https://openalex.org/W3211043432","doi":"https://doi.org/10.1145/3477049","mag":"3211043432"},"language":"en","primary_location":{"id":"doi:10.1145/3477049","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477049","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/A5060335069","display_name":"Shangsong Liang","orcid":"https://orcid.org/0000-0003-1625-2168"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210113480","display_name":"Mohamed bin Zayed University of Artificial Intelligence","ror":"https://ror.org/0258gkt32","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210113480"]}],"countries":["AE","CN"],"is_corresponding":false,"raw_author_name":"Shangsong Liang","raw_affiliation_strings":["Sun Yat-sen University and Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University and Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I157773358","https://openalex.org/I4210113480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029149182","display_name":"Z. Ouyang","orcid":"https://orcid.org/0000-0002-4600-6171"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuo Ouyang","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4600-6171","affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073342482","display_name":"Zaiqiao Meng","orcid":"https://orcid.org/0000-0001-5374-0318"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zaiqiao Meng","raw_affiliation_strings":["University of Cambridge, Cambridge, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cambridge, Cambridge, UK","institution_ids":["https://openalex.org/I241749"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5202,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73597891,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"16","issue":"3","first_page":"1","last_page":"31"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9731000065803528,"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9513000249862671,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.8577550649642944},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6596782207489014},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6422619819641113},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5624743700027466},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5306329131126404},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5159066915512085},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.446189284324646},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.44553542137145996},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.44429752230644226},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42963290214538574},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4219537377357483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3348158299922943},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2874985635280609}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.8577550649642944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6596782207489014},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6422619819641113},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5624743700027466},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5306329131126404},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5159066915512085},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.446189284324646},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.44553542137145996},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.44429752230644226},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42963290214538574},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4219537377357483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3348158299922943},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2874985635280609},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3477049","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477049","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":[{"score":0.7799999713897705,"display_name":"No poverty","id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W178169250","https://openalex.org/W366402269","https://openalex.org/W1888005072","https://openalex.org/W2046253692","https://openalex.org/W2090891622","https://openalex.org/W2107933610","https://openalex.org/W2142535891","https://openalex.org/W2153579005","https://openalex.org/W2153959628","https://openalex.org/W2154454189","https://openalex.org/W2154851992","https://openalex.org/W2387462954","https://openalex.org/W2402144811","https://openalex.org/W2533418857","https://openalex.org/W2554952599","https://openalex.org/W2583803680","https://openalex.org/W2602856279","https://openalex.org/W2613171001","https://openalex.org/W2622489478","https://openalex.org/W2623187518","https://openalex.org/W2753738274","https://openalex.org/W2767500585","https://openalex.org/W2782914678","https://openalex.org/W2783673162","https://openalex.org/W2801355800","https://openalex.org/W2808856341","https://openalex.org/W2808858103","https://openalex.org/W2809503262","https://openalex.org/W2904751736","https://openalex.org/W2908027240","https://openalex.org/W2908461307","https://openalex.org/W2914080035","https://openalex.org/W2949435814","https://openalex.org/W2962756421","https://openalex.org/W2963246109","https://openalex.org/W2985272063","https://openalex.org/W2986510952","https://openalex.org/W2988632781","https://openalex.org/W2997359955","https://openalex.org/W3000095629","https://openalex.org/W3004387786","https://openalex.org/W3010920176","https://openalex.org/W3026423472","https://openalex.org/W3036527662","https://openalex.org/W3095162319","https://openalex.org/W3099414221","https://openalex.org/W3099499532","https://openalex.org/W3101419946","https://openalex.org/W3103254545","https://openalex.org/W3104097132","https://openalex.org/W3105705953","https://openalex.org/W3108664802","https://openalex.org/W3117206239","https://openalex.org/W3167975852","https://openalex.org/W4289436753"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2389214306","https://openalex.org/W2965083567","https://openalex.org/W4235240664","https://openalex.org/W1838576100","https://openalex.org/W2757182831","https://openalex.org/W2095886385","https://openalex.org/W2089704382","https://openalex.org/W1983399550","https://openalex.org/W97075385"],"abstract_inverted_index":{"Network":[0],"embedding":[1,72,84,177],"is":[2,86],"a":[3,15,48,93,117,146],"technique":[4],"that":[5,44,158],"aims":[6],"at":[7],"inferring":[8,26],"the":[9,23,27,39,45,75,108,112,137,164,173],"low-dimensional":[10,28],"representations":[11,29],"of":[12,25,30,107,148,166],"nodes":[13,32],"in":[14,38,79,104,163],"semantic":[16,41],"space.":[17],"In":[18],"this":[19,58],"article,":[20],"we":[21,115],"study":[22],"problem":[24,59],"both":[31],"and":[33,50,89,132],"attributes":[34],"for":[35,122],"attributed":[36,123,175],"networks":[37],"same":[40],"space":[42],"such":[43],"affinity":[46],"between":[47],"node":[49],"an":[51],"attribute":[52],"can":[53,60],"be":[54,61,92],"effectively":[55],"measured.":[56],"Intuitively,":[57],"addressed":[62],"by":[63,169],"simply":[64],"utilizing":[65],"existing":[66],"variational":[67,76],"auto-encoder":[68],"(VAE)":[69],"based":[70,82],"network":[71,83,149,176],"algorithms.":[73],"However,":[74],"posterior":[77,127],"distribution":[78,96,100],"previous":[80],"VAE":[81],"algorithms":[85],"often":[87],"assumed":[88],"restricted":[90],"to":[91,172],"mean-field":[94],"Gaussian":[95],"or":[97],"other":[98],"simple":[99],"families,":[101],"which":[102],"results":[103,156],"poor":[105],"inference":[106],"embeddings.":[109],"To":[110],"alleviate":[111],"above":[113],"defect,":[114],"propose":[116],"novel":[118],"VAE-based":[119],"co-embedding":[120],"method":[121],"network,":[124],"F-CAN,":[125],"where":[126],"distributions":[128,134],"are":[129,160],"flexible,":[130],"complex,":[131],"scalable":[133],"constructed":[135],"through":[136],"normalizing":[138],"flow.":[139],"We":[140],"evaluate":[141],"our":[142,170],"proposed":[143],"models":[144],"on":[145],"number":[147],"tasks":[150],"with":[151],"several":[152],"benchmark":[153],"datasets.":[154],"Experimental":[155],"demonstrate":[157],"there":[159],"clear":[161],"improvements":[162],"qualities":[165],"embeddings":[167],"generated":[168],"model":[171],"state-of-the-art":[174],"methods.":[178]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}