{"id":"https://openalex.org/W2767555916","doi":"https://doi.org/10.1145/3132847.3132881","title":"Incorporating the Latent Link Categories in Relational Topic Modeling","display_name":"Incorporating the Latent Link Categories in Relational Topic Modeling","publication_year":2017,"publication_date":"2017-11-06","ids":{"openalex":"https://openalex.org/W2767555916","doi":"https://doi.org/10.1145/3132847.3132881","mag":"2767555916"},"language":"en","primary_location":{"id":"doi:10.1145/3132847.3132881","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132847.3132881","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/A5102025805","display_name":"Yuan He","orcid":"https://orcid.org/0000-0001-8462-3907"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuan He","raw_affiliation_strings":["Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114429957","display_name":"Cheng Wang","orcid":"https://orcid.org/0009-0000-8357-172X"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Wang","raw_affiliation_strings":["Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066099338","display_name":"Changjun Jiang","orcid":"https://orcid.org/0000-0003-0637-9317"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changjun Jiang","raw_affiliation_strings":["Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102025805"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.15963888,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"1877","last_page":"1886"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9983999729156494,"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":0.9976000189781189,"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/homophily","display_name":"Homophily","score":0.8501299619674683},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7396245002746582},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.6108735799789429},{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.5908783078193665},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.5705472230911255},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.5523281693458557},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.5254912972450256},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5154250860214233},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4995996952056885},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.49136367440223694},{"id":"https://openalex.org/keywords/link-analysis","display_name":"Link analysis","score":0.48026561737060547},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4558008313179016},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.45315054059028625},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4129665791988373},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3701300024986267},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3572703003883362},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.352841317653656},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16048449277877808}],"concepts":[{"id":"https://openalex.org/C2779812341","wikidata":"https://www.wikidata.org/wiki/Q5891525","display_name":"Homophily","level":2,"score":0.8501299619674683},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7396245002746582},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.6108735799789429},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.5908783078193665},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.5705472230911255},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.5523281693458557},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.5254912972450256},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5154250860214233},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4995996952056885},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.49136367440223694},{"id":"https://openalex.org/C1173588","wikidata":"https://www.wikidata.org/wiki/Q6554294","display_name":"Link analysis","level":2,"score":0.48026561737060547},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4558008313179016},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.45315054059028625},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4129665791988373},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3701300024986267},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3572703003883362},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.352841317653656},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16048449277877808},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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:10.1145/3132847.3132881","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132847.3132881","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/G4867880792","display_name":null,"funder_award_id":"61571331","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W935362247","https://openalex.org/W1506806321","https://openalex.org/W1663973292","https://openalex.org/W1756422141","https://openalex.org/W1846286066","https://openalex.org/W1880262756","https://openalex.org/W1984689597","https://openalex.org/W2001082470","https://openalex.org/W2018984973","https://openalex.org/W2023137161","https://openalex.org/W2036323314","https://openalex.org/W2041086039","https://openalex.org/W2041387395","https://openalex.org/W2047940964","https://openalex.org/W2059047669","https://openalex.org/W2076219102","https://openalex.org/W2100348674","https://openalex.org/W2107107106","https://openalex.org/W2107569009","https://openalex.org/W2107743791","https://openalex.org/W2111565546","https://openalex.org/W2112050062","https://openalex.org/W2119436275","https://openalex.org/W2123549998","https://openalex.org/W2125290066","https://openalex.org/W2130339025","https://openalex.org/W2130978632","https://openalex.org/W2145677303","https://openalex.org/W2150461699","https://openalex.org/W2158266063","https://openalex.org/W2159426623","https://openalex.org/W2161088939","https://openalex.org/W2162630660","https://openalex.org/W2167044614","https://openalex.org/W2168175183","https://openalex.org/W2534584408","https://openalex.org/W2583302591","https://openalex.org/W2585965531","https://openalex.org/W2606001062","https://openalex.org/W2623447776","https://openalex.org/W2741114205","https://openalex.org/W2952771778","https://openalex.org/W4233135949","https://openalex.org/W6678337573"],"related_works":["https://openalex.org/W2888805565","https://openalex.org/W4312773271","https://openalex.org/W4315588616","https://openalex.org/W2769501189","https://openalex.org/W2962686197","https://openalex.org/W2207653751","https://openalex.org/W4293863151","https://openalex.org/W3159709618","https://openalex.org/W2611137333","https://openalex.org/W3005513013"],"abstract_inverted_index":{"The":[0],"soaring":[1],"of":[2,11,18,92,123],"social":[3],"media":[4],"services":[5],"has":[6],"greatly":[7],"propelled":[8],"the":[9,30,40,44,60,65,79,96,98,118,139,150,159],"prevalence":[10],"document":[12,45],"networks.":[13],"Rather":[14],"than":[15,158],"a":[16,73,89,128],"set":[17],"plain":[19],"texts,":[20],"documents":[21,31,53],"are":[22],"nodes":[23],"in":[24,64],"graphs.":[25],"An":[26],"observable":[27],"link":[28,167],"connects":[29],"at":[32],"its":[33],"two":[34],"ends,":[35],"thus":[36],"it":[37],"implicitly":[38],"reflects":[39],"semantic":[41],"association":[42],"between":[43,120],"pair.":[46],"Previous":[47],"work":[48],"assumes":[49],"that":[50,149],"only":[51],"similar":[52],"tend":[54],"to":[55,77,88,111],"be":[56,106],"connected,":[57],"which":[58],"neglects":[59],"rich":[61],"connective":[62],"patterns":[63],"topological":[66],"structure.":[67],"In":[68],"this":[69],"paper,":[70],"we":[71,116],"introduce":[72],"latent":[74],"correlation":[75,119],"factor":[76],"categorize":[78],"links":[80],"into":[81],"several":[82],"categories,":[83],"and":[84,103,132,155,166],"each":[85],"category":[86],"corresponds":[87],"unique":[90],"kind":[91],"association.":[93],"By":[94,109],"fitting":[95],"data,":[97],"relational":[99],"information":[100],"(e.g.,":[101],"homophily":[102],"heterophily)":[104],"can":[105],"comprehensively":[107],"captured.":[108],"resorting":[110],"Canonical":[112],"Correlation":[113],"Analysis":[114],"(CCA),":[115],"maximize":[117],"all":[121],"pairs":[122],"linked":[124],"documents.":[125],"We":[126],"propose":[127],"pure":[129],"generative":[130],"model":[131,152],"derive":[133],"efficient":[134],"learning":[135],"algorithms":[136],"based":[137],"on":[138,144,162],"variational":[140],"EM":[141],"methods.":[142],"Experiments":[143],"three":[145],"different":[146],"datasets":[147],"demonstrate":[148],"proposed":[151],"is":[153],"competitive":[154],"usually":[156],"better":[157],"state-of-the-art":[160],"baselines":[161],"both":[163],"topic":[164],"modeling":[165],"prediction.":[168]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}