{"id":"https://openalex.org/W2767849480","doi":"https://doi.org/10.1145/3132847.3132925","title":"Learning Community Embedding with Community Detection and Node Embedding on Graphs","display_name":"Learning Community Embedding with Community Detection and Node Embedding on Graphs","publication_year":2017,"publication_date":"2017-11-06","ids":{"openalex":"https://openalex.org/W2767849480","doi":"https://doi.org/10.1145/3132847.3132925","mag":"2767849480"},"language":"en","primary_location":{"id":"doi:10.1145/3132847.3132925","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132847.3132925","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM on Conference on Information and Knowledge Management","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/A5084300159","display_name":"Sandro Cavallari","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Sandro Cavallari","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065995973","display_name":"Vincent W. Zheng","orcid":"https://orcid.org/0000-0002-0904-3184"},"institutions":[{"id":"https://openalex.org/I4210108443","display_name":"Advanced Digital Sciences Center","ror":"https://ror.org/01xaqx887","country_code":"SG","type":"facility","lineage":["https://openalex.org/I4210108443"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Vincent W. Zheng","raw_affiliation_strings":["Advanced Digital Sciences Center, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Advanced Digital Sciences Center, Singapore, Singapore","institution_ids":["https://openalex.org/I4210108443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101912243","display_name":"Hongyun Cai","orcid":"https://orcid.org/0000-0001-5853-2841"},"institutions":[{"id":"https://openalex.org/I4210108443","display_name":"Advanced Digital Sciences Center","ror":"https://ror.org/01xaqx887","country_code":"SG","type":"facility","lineage":["https://openalex.org/I4210108443"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Hongyun Cai","raw_affiliation_strings":["Advanced Digital Sciences Center, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Advanced Digital Sciences Center, Singapore, Singapore","institution_ids":["https://openalex.org/I4210108443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101880377","display_name":"Kevin Chen\u2013Chuan Chang","orcid":"https://orcid.org/0000-0003-0997-6803"},"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":"Kevin Chen-Chuan Chang","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana-Champaign, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana-Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100752356","display_name":"Erik Cambria","orcid":"https://orcid.org/0000-0002-3030-1280"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Erik Cambria","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5084300159"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":34.2971,"has_fulltext":false,"cited_by_count":372,"citation_normalized_percentile":{"value":0.99740902,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"377","last_page":"386"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9991999864578247,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9606000185012817,"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/embedding","display_name":"Embedding","score":0.8954122066497803},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.713802695274353},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6277000904083252},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.608289361000061},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5818159580230713},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5777391791343689},{"id":"https://openalex.org/keywords/community-structure","display_name":"Community structure","score":0.528876781463623},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.47180548310279846},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40055012702941895},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3249029517173767},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3097897171974182},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1775231659412384},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.07486000657081604},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.060189515352249146}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.8954122066497803},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.713802695274353},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6277000904083252},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.608289361000061},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5818159580230713},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5777391791343689},{"id":"https://openalex.org/C133079900","wikidata":"https://www.wikidata.org/wiki/Q5155065","display_name":"Community structure","level":2,"score":0.528876781463623},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.47180548310279846},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40055012702941895},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3249029517173767},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3097897171974182},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1775231659412384},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07486000657081604},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.060189515352249146},{"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:10.1145/3132847.3132925","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132847.3132925","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM on Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1181285603","display_name":null,"funder_award_id":"61502418","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1506806321","https://openalex.org/W1888005072","https://openalex.org/W1977713568","https://openalex.org/W2001141328","https://openalex.org/W2016273060","https://openalex.org/W2049633694","https://openalex.org/W2053186076","https://openalex.org/W2062797058","https://openalex.org/W2090891622","https://openalex.org/W2098318489","https://openalex.org/W2116819994","https://openalex.org/W2120119131","https://openalex.org/W2132368295","https://openalex.org/W2153635508","https://openalex.org/W2154851992","https://openalex.org/W2156718197","https://openalex.org/W2168627253","https://openalex.org/W2187032421","https://openalex.org/W2187089797","https://openalex.org/W2296746822","https://openalex.org/W2387462954","https://openalex.org/W2393319904","https://openalex.org/W2405933695","https://openalex.org/W2406128552","https://openalex.org/W2441800701","https://openalex.org/W2499696929","https://openalex.org/W2561827022","https://openalex.org/W2575218683","https://openalex.org/W2577326063","https://openalex.org/W2604942799","https://openalex.org/W2950133940","https://openalex.org/W2950191616","https://openalex.org/W2962756421","https://openalex.org/W3101413764","https://openalex.org/W3104097132","https://openalex.org/W3105705953","https://openalex.org/W4251382891","https://openalex.org/W4292081303"],"related_works":["https://openalex.org/W2782859253","https://openalex.org/W2045864404","https://openalex.org/W252900523","https://openalex.org/W3036264823","https://openalex.org/W3206528106","https://openalex.org/W2912814903","https://openalex.org/W4206022723","https://openalex.org/W2123605750","https://openalex.org/W2088740331","https://openalex.org/W3038102983"],"abstract_inverted_index":{"In":[0],"this":[1,109],"paper,":[2],"we":[3,111],"study":[4],"an":[5],"important":[6],"yet":[7],"largely":[8],"under-explored":[9],"setting":[10],"of":[11,18],"graph":[12,36,139],"embedding,":[13,51,61],"i.e.,":[14],"embedding":[15,26,72,92,100,116],"communities":[16,81],"instead":[17],"each":[19],"individual":[20],"nodes.":[21],"We":[22,125],"find":[23],"that":[24,118,136],"community":[25,43,60,62,76,85,91,115,150],"is":[27],"not":[28],"only":[29],"useful":[30],"for":[31,82],"community-level":[32],"applications":[33],"such":[34,50,127],"as":[35],"visualization,":[37],"but":[38],"also":[39],"beneficial":[40],"to":[41,96],"both":[42],"detection":[44,63,151],"and":[45,64,134,141,152],"node":[46,65,71,99,153],"classification.":[47,154],"To":[48],"learn":[49],"our":[52],"insight":[53],"hinges":[54],"upon":[55],"a":[56,103,113,128],"closed":[57],"loop":[58],"among":[59],"embedding.":[66,86],"On":[67,87],"the":[68,88,98,121],"one":[69],"hand,":[70,90],"can":[73,93],"help":[74],"improve":[75],"detection,":[77],"which":[78],"outputs":[79],"good":[80],"fitting":[83],"better":[84],"other":[89],"be":[94],"used":[95],"optimize":[97],"by":[101,108],"introducing":[102],"community-aware":[104],"high-order":[105],"proximity.":[106],"Guided":[107],"insight,":[110],"propose":[112],"novel":[114],"framework":[117,129],"jointly":[119],"solves":[120],"three":[122],"tasks":[123],"together.":[124],"evaluate":[126],"on":[130],"multiple":[131],"real-world":[132],"datasets,":[133],"show":[135],"it":[137],"improves":[138],"visualization":[140],"outperforms":[142],"state-of-the-art":[143],"baselines":[144],"in":[145],"various":[146],"application":[147],"tasks,":[148],"e.g.,":[149]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":31},{"year":2023,"cited_by_count":35},{"year":2022,"cited_by_count":43},{"year":2021,"cited_by_count":81},{"year":2020,"cited_by_count":70},{"year":2019,"cited_by_count":52},{"year":2018,"cited_by_count":39},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}