{"id":"https://openalex.org/W2966374218","doi":"https://doi.org/10.24963/ijcai.2019/407","title":"Learning Network Embedding with Community Structural Information","display_name":"Learning Network Embedding with Community Structural Information","publication_year":2019,"publication_date":"2019-07-28","ids":{"openalex":"https://openalex.org/W2966374218","doi":"https://doi.org/10.24963/ijcai.2019/407","mag":"2966374218"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2019/407","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/407","pdf_url":"https://www.ijcai.org/proceedings/2019/0407.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2019/0407.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100345829","display_name":"Yu Li","orcid":"https://orcid.org/0000-0002-6876-3587"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Li","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, China","Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"]},{"raw_affiliation_string":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100347124","display_name":"Ying Wang","orcid":"https://orcid.org/0000-0002-6265-4021"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Wang","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, China","Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"]},{"raw_affiliation_string":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100329632","display_name":"Tingting Zhang","orcid":"https://orcid.org/0000-0002-5494-1098"},"institutions":[{"id":"https://openalex.org/I179324530","display_name":"Jilin University of Finance and Economics","ror":"https://ror.org/04az9eh24","country_code":"CN","type":"education","lineage":["https://openalex.org/I179324530"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Zhang","raw_affiliation_strings":["School of Statistics, Jilin University of Finance and Economics, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Statistics, Jilin University of Finance and Economics, Changchun, China","institution_ids":["https://openalex.org/I179324530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100462824","display_name":"Jiawei Zhang","orcid":"https://orcid.org/0000-0002-2111-7617"},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiawei Zhang","raw_affiliation_strings":["IFM Lab, Department of Computer Science, Florida State University, Tallahassee FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IFM Lab, Department of Computer Science, Florida State University, Tallahassee FL, USA","institution_ids":["https://openalex.org/I103163165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029392006","display_name":"Yi Chang","orcid":"https://orcid.org/0000-0003-2697-8093"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Chang","raw_affiliation_strings":["School of Artificial Intelligence, Jilin University, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2937","last_page":"2943"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994999766349792,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9991999864578247,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9732000231742859,"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/embedding","display_name":"Embedding","score":0.727243185043335},{"id":"https://openalex.org/keywords/homophily","display_name":"Homophily","score":0.6874338984489441},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6673344373703003},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.6507661938667297},{"id":"https://openalex.org/keywords/community-structure","display_name":"Community structure","score":0.6113321185112},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5696039199829102},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5594585537910461},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4988718032836914},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4900123178958893},{"id":"https://openalex.org/keywords/network-analysis","display_name":"Network analysis","score":0.4729442596435547},{"id":"https://openalex.org/keywords/network-science","display_name":"Network science","score":0.4116193652153015},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37770944833755493},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3719884157180786},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3632890284061432},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.3551880121231079},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2102344036102295},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.17386850714683533},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10888680815696716},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.08151260018348694}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.727243185043335},{"id":"https://openalex.org/C2779812341","wikidata":"https://www.wikidata.org/wiki/Q5891525","display_name":"Homophily","level":2,"score":0.6874338984489441},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6673344373703003},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.6507661938667297},{"id":"https://openalex.org/C133079900","wikidata":"https://www.wikidata.org/wiki/Q5155065","display_name":"Community structure","level":2,"score":0.6113321185112},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5696039199829102},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5594585537910461},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4988718032836914},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4900123178958893},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.4729442596435547},{"id":"https://openalex.org/C137753397","wikidata":"https://www.wikidata.org/wiki/Q2434424","display_name":"Network science","level":3,"score":0.4116193652153015},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37770944833755493},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3719884157180786},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3632890284061432},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.3551880121231079},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2102344036102295},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.17386850714683533},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10888680815696716},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.08151260018348694},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2019/407","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/407","pdf_url":"https://www.ijcai.org/proceedings/2019/0407.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2019/407","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/407","pdf_url":"https://www.ijcai.org/proceedings/2019/0407.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3800173056","display_name":"III: Medium: Collaborative Research: An Extensible Heterogeneous Network Embedding Framework with Application Specific Adaptation","funder_award_id":"1763365","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4689730933","display_name":null,"funder_award_id":"IIS-1763365","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5546425581","display_name":null,"funder_award_id":"61602057","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7452751003","display_name":"\u5927\u89c4\u6a21\u5f02\u8d28\u4fe1\u606f\u7f51\u7edc\u6458\u8981\u548c\u6458\u8981\u53ef\u89e3\u91ca\u6027\u7814\u7a76","funder_award_id":"61872161","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320312294","display_name":"Jilin University of Finance and Economics","ror":"https://ror.org/04az9eh24"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322300","display_name":"Jilin University","ror":"https://ror.org/00js3aw79"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2966374218.pdf","grobid_xml":"https://content.openalex.org/works/W2966374218.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1888005072","https://openalex.org/W1971421925","https://openalex.org/W2050239729","https://openalex.org/W2090891622","https://openalex.org/W2118585731","https://openalex.org/W2119571791","https://openalex.org/W2119998616","https://openalex.org/W2125050594","https://openalex.org/W2132914434","https://openalex.org/W2135029798","https://openalex.org/W2139694940","https://openalex.org/W2151936673","https://openalex.org/W2154851992","https://openalex.org/W2156718197","https://openalex.org/W2168627253","https://openalex.org/W2393319904","https://openalex.org/W2604942799","https://openalex.org/W2622042591","https://openalex.org/W2739747431","https://openalex.org/W2767849480","https://openalex.org/W2783779423","https://openalex.org/W2809001617","https://openalex.org/W2809156873","https://openalex.org/W2809280072","https://openalex.org/W2950133940","https://openalex.org/W2962756421","https://openalex.org/W2963013895","https://openalex.org/W3104097132","https://openalex.org/W3143596294","https://openalex.org/W4292207532","https://openalex.org/W4294170691"],"related_works":["https://openalex.org/W2046354615","https://openalex.org/W2034220069","https://openalex.org/W2006852656","https://openalex.org/W2948079051","https://openalex.org/W2133614729","https://openalex.org/W11097679","https://openalex.org/W2803128880","https://openalex.org/W2901181147","https://openalex.org/W3134928396","https://openalex.org/W2394794438"],"abstract_inverted_index":{"Network":[0,96],"embedding":[1,33,90],"is":[2],"an":[3,127],"effective":[4,128],"approach":[5],"to":[6,16,63,93,131],"learn":[7,94],"the":[8,20,44,50,57,74,95,104,109,118,143,146],"low-dimensional":[9],"representations":[10],"of":[11,25,30,40,145],"vertices":[12,55,72],"in":[13,112,149],"networks,":[14,41],"aiming":[15],"capture":[17],"and":[18,22,107,125,159],"preserve":[19],"structure":[21,111],"inherent":[23],"properties":[24],"networks.":[26],"The":[27],"vast":[28],"majority":[29],"existing":[31],"network":[32,45,89,140,151,155],"methods":[34],"exclusively":[35],"focus":[36],"on":[37,137],"vertex":[38,80,113,160],"proximity":[39,106],"while":[42],"ignoring":[43],"internal":[46],"community":[47,59,76,110],"structure.":[48],"However,":[49],"homophily":[51],"principle":[52],"indicates":[53],"that":[54],"within":[56,73],"same":[58,75],"are":[60],"more":[61],"similar":[62,79],"each":[64],"other":[65],"than":[66],"those":[67],"from":[68],"different":[69],"communities,":[70],"thus":[71],"should":[77],"have":[78],"representations.":[81],"Motivated":[82],"by":[83],"this,":[84],"we":[85],"propose":[86],"a":[87,121],"novel":[88],"framework":[91,124,148],"NECS":[92],"Embedding":[97],"with":[98],"Community":[99],"Structural":[100],"information,":[101],"which":[102],"preserves":[103],"high-order":[105],"incorporates":[108],"representation":[114],"learning.":[115],"We":[116],"formulate":[117],"problem":[119],"into":[120],"principled":[122],"optimization":[123],"provide":[126],"alternating":[129],"algorithm":[130],"solve":[132],"it.":[133],"Extensive":[134],"experimental":[135],"results":[136],"several":[138],"benchmark":[139],"datasets":[141],"demonstrate":[142],"effectiveness":[144],"proposed":[147],"various":[150],"analysis":[152],"tasks":[153],"including":[154],"reconstruction,":[156],"link":[157],"prediction":[158],"classification.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":4}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
