{"id":"https://openalex.org/W2978538455","doi":"https://doi.org/10.1109/ijcnn.2019.8852147","title":"RASE: Relationship Aware Social Embedding","display_name":"RASE: Relationship Aware Social Embedding","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2978538455","doi":"https://doi.org/10.1109/ijcnn.2019.8852147","mag":"2978538455"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8852147","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852147","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5103854691","display_name":"Aravind Sankar","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Aravind Sankar","raw_affiliation_strings":["Department of Computer Science, University of Illinois, Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois, Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110529898","display_name":"Adit Krishnan","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adit Krishnan","raw_affiliation_strings":["Department of Computer Science, University of Illinois, Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois, Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102201344","display_name":"Zongjian He","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zongjian He","raw_affiliation_strings":["Department of Computer Science, University of Illinois, Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois, Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006897094","display_name":"Carl Yang","orcid":"https://orcid.org/0000-0001-9145-4531"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carl Yang","raw_affiliation_strings":["Department of Computer Science, University of Illinois, Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois, Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103854691"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":0.8401,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.80630007,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"9","issue":null,"first_page":"1","last_page":"8"},"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/T10028","display_name":"Topic Modeling","score":0.9973999857902527,"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":0.9962999820709229,"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/closeness","display_name":"Closeness","score":0.7270292043685913},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6577853560447693},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6521585583686829},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6305040717124939},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.5706867575645447},{"id":"https://openalex.org/keywords/social-relationship","display_name":"Social relationship","score":0.5323572158813477},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4885726869106293},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48418906331062317},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.44755131006240845},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4420011043548584},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.42560359835624695},{"id":"https://openalex.org/keywords/vector-space","display_name":"Vector space","score":0.41059839725494385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40334558486938477},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23656395077705383},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1554945409297943}],"concepts":[{"id":"https://openalex.org/C2779545769","wikidata":"https://www.wikidata.org/wiki/Q5135364","display_name":"Closeness","level":2,"score":0.7270292043685913},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6577853560447693},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6521585583686829},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6305040717124939},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.5706867575645447},{"id":"https://openalex.org/C2987946170","wikidata":"https://www.wikidata.org/wiki/Q853725","display_name":"Social relationship","level":2,"score":0.5323572158813477},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4885726869106293},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48418906331062317},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.44755131006240845},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4420011043548584},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.42560359835624695},{"id":"https://openalex.org/C13336665","wikidata":"https://www.wikidata.org/wiki/Q125977","display_name":"Vector space","level":2,"score":0.41059839725494385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40334558486938477},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23656395077705383},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1554945409297943},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2019.8852147","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852147","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1888005072","https://openalex.org/W2037933327","https://openalex.org/W2107961038","https://openalex.org/W2118585731","https://openalex.org/W2127795553","https://openalex.org/W2138399168","https://openalex.org/W2144487656","https://openalex.org/W2145544171","https://openalex.org/W2148847267","https://openalex.org/W2153579005","https://openalex.org/W2154851992","https://openalex.org/W2155461593","https://openalex.org/W2156718197","https://openalex.org/W2165874743","https://openalex.org/W2168001829","https://openalex.org/W2184957013","https://openalex.org/W2247119764","https://openalex.org/W2283196293","https://openalex.org/W2393319904","https://openalex.org/W2541801651","https://openalex.org/W2607500032","https://openalex.org/W2613069795","https://openalex.org/W2753217412","https://openalex.org/W2768092833","https://openalex.org/W2770717124","https://openalex.org/W2896537337","https://openalex.org/W2897555107","https://openalex.org/W2898322439","https://openalex.org/W2906407596","https://openalex.org/W2906831717","https://openalex.org/W2913312729","https://openalex.org/W2949972983","https://openalex.org/W2962756421","https://openalex.org/W2964015378","https://openalex.org/W3100330855","https://openalex.org/W3104097132","https://openalex.org/W3105705953","https://openalex.org/W3148981562","https://openalex.org/W4232932184","https://openalex.org/W4294170691","https://openalex.org/W4394669517","https://openalex.org/W6677656871","https://openalex.org/W6678830454","https://openalex.org/W6682691769","https://openalex.org/W6682755970","https://openalex.org/W6683180375","https://openalex.org/W6684578312","https://openalex.org/W6685021296","https://openalex.org/W6686133869","https://openalex.org/W6695596964","https://openalex.org/W6726873649","https://openalex.org/W6744066269","https://openalex.org/W6746536644","https://openalex.org/W6758976677","https://openalex.org/W6864429413"],"related_works":["https://openalex.org/W2156910174","https://openalex.org/W1995054232","https://openalex.org/W2011510925","https://openalex.org/W1557920161","https://openalex.org/W2465715989","https://openalex.org/W2170190190","https://openalex.org/W1990780439","https://openalex.org/W198458802","https://openalex.org/W4210502210","https://openalex.org/W3175136363"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"the":[3,37,43,82,112,145,165,174,177,190,198,213],"problem":[4],"of":[5,49,76,84,147],"learning":[6],"latent":[7],"representations":[8,29],"or":[9],"embeddings":[10,25,136,159,179,201],"for":[11,106,170],"users":[12,50,118,214],"in":[13,150,211,220],"social":[14,41,56,70,113],"networks,":[15,42],"by":[16,36],"leveraging":[17],"relationship":[18,77,97,100,108,152,166,224],"semantics":[19],"associated":[20],"with":[21,95],"each":[22,92,107,121,148,171],"link.":[23,172],"User":[24],"are":[26,184,193,208],"low-dimensional":[27],"vector-space":[28],"designed":[30],"to":[31,110,120,131,186],"preserve":[32],"structural":[33],"proximity":[34],"indicated":[35],"pairwise":[38],"relationships.":[39],"In":[40,173],"closeness":[44],"(or":[45,115,168],"proximity)":[46,116],"between":[47,117],"pairs":[48],"is":[51],"very":[52],"different":[53],"w.r.t.":[54],"multiple":[55,96,151],"relationships":[57],"and":[58,102,140,180,215,223],"thus":[59],"cannot":[60],"be":[61,187],"represented":[62],"accurately":[63],"using":[64],"a":[65,73,125],"single":[66],"embedding":[67,86],"space.":[68],"Furthermore,":[69],"networks":[71],"pose":[72],"unique":[74],"challenge":[75],"label":[78],"sparsity":[79],"that":[80,197],"precludes":[81],"application":[83],"knowledge-graph":[85],"techniques.In":[87],"this":[88,204],"paper,":[89],"we":[90],"associate":[91],"observed":[93],"link":[94,149],"types":[98],"through":[99,203],"weights":[101,143,167,192],"learn":[103,134],"projection":[104,182],"matrices":[105,183],"type":[109],"model":[111],"distance":[114],"specific":[119],"relationship.":[122],"We":[123,195],"propose":[124],"novel":[126],"two-step":[127],"mutual":[128,205],"enhancement":[129,206],"framework":[130],"iteratively":[132],"(a)":[133],"user":[135,158,178,200],"preserving":[137],"relationship-specific":[138,161],"proximity,":[139,162],"(b)":[141],"link-relationship":[142,191],"capturing":[144],"role":[146],"types.":[153],"The":[154],"first":[155],"step":[156],"learns":[157],"optimizing":[160],"while":[163,189],"fixing":[164],"roles)":[169],"second":[175],"step,":[176],"corresponding":[181],"assumed":[185],"fixed,":[188],"learned.":[194],"demonstrate":[196],"relationship-aware":[199],"learned":[202],"framework,":[207],"more":[209],"effective":[210],"representing":[212],"outperform":[216],"representative":[217],"baseline":[218],"techniques":[219],"multi-label":[221],"classification":[222],"prediction":[225],"tasks.":[226]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}