{"id":"https://openalex.org/W4367046744","doi":"https://doi.org/10.1145/3543507.3583284","title":"Link Prediction on Latent Heterogeneous Graphs","display_name":"Link Prediction on Latent Heterogeneous Graphs","publication_year":2023,"publication_date":"2023-04-26","ids":{"openalex":"https://openalex.org/W4367046744","doi":"https://doi.org/10.1145/3543507.3583284"},"language":"en","primary_location":{"id":"doi:10.1145/3543507.3583284","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3543507.3583284","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3543507.3583284","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2023","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3543507.3583284","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102715821","display_name":"Trung\u2010Kien Nguyen","orcid":"https://orcid.org/0000-0002-3250-1112"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Trung-Kien Nguyen","raw_affiliation_strings":["School of Computing & Information Systems, Singapore Management University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computing & Information Systems, Singapore Management University, Singapore","institution_ids":["https://openalex.org/I79891267"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030809906","display_name":"Zemin Liu","orcid":"https://orcid.org/0000-0001-6262-9435"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zemin Liu","raw_affiliation_strings":["School of Computing, National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055103025","display_name":"Yuan Fang","orcid":"https://orcid.org/0000-0002-4265-5289"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yuan Fang","raw_affiliation_strings":["School of Computing & Information Systems, Singapore Management University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computing & Information Systems, Singapore Management University, Singapore","institution_ids":["https://openalex.org/I79891267"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102715821"],"corresponding_institution_ids":["https://openalex.org/I79891267"],"apc_list":null,"apc_paid":null,"fwci":1.9011,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.88294828,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"263","last_page":"273"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":1.0,"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":1.0,"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":0.9915000200271606,"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/T10028","display_name":"Topic Modeling","score":0.9854999780654907,"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/computer-science","display_name":"Computer science","score":0.7111538052558899},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6215758919715881},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5477378964424133},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5149632096290588},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5099359750747681},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4676859974861145},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.44970273971557617},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.4226095974445343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29436492919921875},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08311548829078674}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7111538052558899},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6215758919715881},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5477378964424133},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5149632096290588},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5099359750747681},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4676859974861145},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.44970273971557617},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.4226095974445343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29436492919921875},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08311548829078674},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3543507.3583284","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3543507.3583284","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3543507.3583284","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2023","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3543507.3583284","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3543507.3583284","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3543507.3583284","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2023","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6960108870","display_name":null,"funder_award_id":"A20H6b0151","funder_id":"https://openalex.org/F4320320696","funder_display_name":"Agency for Science, Technology and Research"}],"funders":[{"id":"https://openalex.org/F4320320696","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4367046744.pdf","grobid_xml":"https://content.openalex.org/works/W4367046744.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W103340358","https://openalex.org/W1699691160","https://openalex.org/W1888005072","https://openalex.org/W2081580037","https://openalex.org/W2094728533","https://openalex.org/W2154851992","https://openalex.org/W2163922914","https://openalex.org/W2283196293","https://openalex.org/W2743104969","https://openalex.org/W2760103357","https://openalex.org/W2767774008","https://openalex.org/W2907492528","https://openalex.org/W2911286998","https://openalex.org/W2952138241","https://openalex.org/W2952343887","https://openalex.org/W2962756421","https://openalex.org/W2963224980","https://openalex.org/W2965857891","https://openalex.org/W2997461192","https://openalex.org/W2999693458","https://openalex.org/W3012871709","https://openalex.org/W3023845949","https://openalex.org/W3104097132","https://openalex.org/W3114303065","https://openalex.org/W3166423611","https://openalex.org/W3172133997","https://openalex.org/W3191845507","https://openalex.org/W3208301480","https://openalex.org/W4226204438","https://openalex.org/W4285378361"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2037549926","https://openalex.org/W2345479200","https://openalex.org/W2183306018","https://openalex.org/W2849310602","https://openalex.org/W3006008237","https://openalex.org/W2013493105","https://openalex.org/W2419146053","https://openalex.org/W4388890789","https://openalex.org/W2088247287"],"abstract_inverted_index":{"On":[0],"graph":[1,59],"data,":[2],"the":[3,19,24,67,78,107,120,147,156,174],"multitude":[4],"of":[5,31,83,109,123,177],"node":[6,127],"or":[7,45,100],"edge":[8],"types":[9,27,69],"gives":[10],"rise":[11],"to":[12,131,145,159],"heterogeneous":[13,20,58,64,148],"information":[14,40,50],"networks":[15],"(HINs).":[16],"To":[17,105],"preserve":[18],"semantics":[21,65,134,154],"on":[22,86,94,103,119,135,151,168],"HINs,":[23],"rich":[25],"node/edge":[26,68],"become":[28],"a":[29,55,114,142],"cornerstone":[30],"HIN":[32],"representation":[33],"learning.":[34],"However,":[35],"in":[36],"real-world":[37],"scenarios,":[38],"type":[39,49,110],"is":[41,51],"often":[42],"noisy,":[43],"missing":[44],"inaccessible.":[46],"Assuming":[47],"no":[48],"given,":[52],"we":[53,76,112,164],"define":[54],"so-called":[56],"latent":[57,63,133,153],"(LHG),":[60],"which":[61],"carries":[62],"as":[66],"cannot":[70],"be":[71],"observed.":[72],"In":[73],"this":[74],"paper,":[75],"study":[77],"challenging":[79],"and":[80,128,136,172],"unexplored":[81],"problem":[82],"link":[84],"prediction":[85],"an":[87],"LHG.":[88],"As":[89],"existing":[90],"approaches":[91],"depend":[92],"heavily":[93],"type-based":[95],"information,":[96,111],"they":[97],"are":[98],"suboptimal":[99],"even":[101],"inapplicable":[102],"LHGs.":[104],"address":[106],"absence":[108],"propose":[113],"model":[115],"named":[116],"LHGNN,":[117],"based":[118],"novel":[121],"idea":[122],"semantic":[124],"embedding":[125],"at":[126],"path":[129],"levels,":[130],"capture":[132],"between":[137],"nodes.":[138],"We":[139],"further":[140],"design":[141],"personalization":[143],"function":[144],"modulate":[146],"contexts":[149],"conditioned":[150],"their":[152],"w.r.t.":[155],"target":[157],"node,":[158],"enable":[160],"finer-grained":[161],"aggregation.":[162],"Finally,":[163],"conduct":[165],"extensive":[166],"experiments":[167],"four":[169],"benchmark":[170],"datasets,":[171],"demonstrate":[173],"superior":[175],"performance":[176],"LHGNN.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}