{"id":"https://openalex.org/W3156514659","doi":"https://doi.org/10.1145/3442381.3449883","title":"RETA: A Schema-Aware, End-to-End Solution for Instance Completion in Knowledge Graphs","display_name":"RETA: A Schema-Aware, End-to-End Solution for Instance Completion in Knowledge Graphs","publication_year":2021,"publication_date":"2021-04-19","ids":{"openalex":"https://openalex.org/W3156514659","doi":"https://doi.org/10.1145/3442381.3449883","mag":"3156514659"},"language":"en","primary_location":{"id":"doi:10.1145/3442381.3449883","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449883","pdf_url":null,"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 Web Conference 2021","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3442381.3449883","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103045601","display_name":"Paolo Rosso","orcid":"https://orcid.org/0009-0008-7739-5668"},"institutions":[{"id":"https://openalex.org/I154338468","display_name":"University of Fribourg","ror":"https://ror.org/022fs9h90","country_code":"CH","type":"education","lineage":["https://openalex.org/I154338468"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Paolo Rosso","raw_affiliation_strings":["University of Fribourg, Switzerland"],"affiliations":[{"raw_affiliation_string":"University of Fribourg, Switzerland","institution_ids":["https://openalex.org/I154338468"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026625771","display_name":"Dingqi Yang","orcid":"https://orcid.org/0000-0002-6831-0422"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]},{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Dingqi Yang","raw_affiliation_strings":["University of Macau, China"],"affiliations":[{"raw_affiliation_string":"University of Macau, China","institution_ids":["https://openalex.org/I6469544","https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072842917","display_name":"Natalia Ostapuk","orcid":"https://orcid.org/0009-0005-7002-2795"},"institutions":[{"id":"https://openalex.org/I154338468","display_name":"University of Fribourg","ror":"https://ror.org/022fs9h90","country_code":"CH","type":"education","lineage":["https://openalex.org/I154338468"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Natalia Ostapuk","raw_affiliation_strings":["University of Fribourg, Switzerland"],"affiliations":[{"raw_affiliation_string":"University of Fribourg, Switzerland","institution_ids":["https://openalex.org/I154338468"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028454093","display_name":"Philippe Cudr\u00e9-Mauroux","orcid":"https://orcid.org/0000-0003-2588-4212"},"institutions":[{"id":"https://openalex.org/I154338468","display_name":"University of Fribourg","ror":"https://ror.org/022fs9h90","country_code":"CH","type":"education","lineage":["https://openalex.org/I154338468"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Philippe Cudr\u00e9-Mauroux","raw_affiliation_strings":["University of Fribourg, Switzerland"],"affiliations":[{"raw_affiliation_string":"University of Fribourg, Switzerland","institution_ids":["https://openalex.org/I154338468"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103045601"],"corresponding_institution_ids":["https://openalex.org/I154338468"],"apc_list":null,"apc_paid":null,"fwci":1.6795,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.8674789,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"845","last_page":"856"},"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/T10028","display_name":"Topic Modeling","score":0.9959999918937683,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9904000163078308,"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/schema","display_name":"Schema (genetic algorithms)","score":0.4919743239879608},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.45684799551963806},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.45078009366989136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35534048080444336},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.34513717889785767},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3442128598690033},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.20890235900878906},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15475383400917053}],"concepts":[{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.4919743239879608},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.45684799551963806},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.45078009366989136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35534048080444336},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.34513717889785767},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3442128598690033},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.20890235900878906},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15475383400917053}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3442381.3449883","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449883","pdf_url":null,"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 Web Conference 2021","raw_type":"proceedings-article"},{"id":"pmh:oai:doc.rero.ch:20210527101217-YT","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400148","display_name":"reroDoc Digital Library","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"doi:10.1145/3442381.3449883","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449883","pdf_url":null,"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 Web Conference 2021","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W205829674","https://openalex.org/W1529533208","https://openalex.org/W1533230146","https://openalex.org/W1756422141","https://openalex.org/W2094728533","https://openalex.org/W2127426251","https://openalex.org/W2127795553","https://openalex.org/W2151502664","https://openalex.org/W2158028897","https://openalex.org/W2163605009","https://openalex.org/W2184957013","https://openalex.org/W2250342289","https://openalex.org/W2250635077","https://openalex.org/W2251079237","https://openalex.org/W2283196293","https://openalex.org/W2343431530","https://openalex.org/W2407215154","https://openalex.org/W2433281745","https://openalex.org/W2509893387","https://openalex.org/W2539163507","https://openalex.org/W2556343638","https://openalex.org/W2572179331","https://openalex.org/W2581102923","https://openalex.org/W2604165577","https://openalex.org/W2604314403","https://openalex.org/W2612900438","https://openalex.org/W2728059831","https://openalex.org/W2759136286","https://openalex.org/W2774837955","https://openalex.org/W2787882523","https://openalex.org/W2788408439","https://openalex.org/W2798459480","https://openalex.org/W2798627260","https://openalex.org/W2889583850","https://openalex.org/W2909137510","https://openalex.org/W2914812111","https://openalex.org/W2949117887","https://openalex.org/W2949434543","https://openalex.org/W2952558995","https://openalex.org/W2962850650","https://openalex.org/W2963203544","https://openalex.org/W2963432357","https://openalex.org/W2963503534","https://openalex.org/W2963855739","https://openalex.org/W2963870853","https://openalex.org/W2964279602","https://openalex.org/W2980763157","https://openalex.org/W2997738974","https://openalex.org/W3007162611","https://openalex.org/W3012776832","https://openalex.org/W3089065834","https://openalex.org/W3099387504","https://openalex.org/W3103296573","https://openalex.org/W4301021849"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2935759653","https://openalex.org/W3105167352","https://openalex.org/W54078636","https://openalex.org/W2954470139","https://openalex.org/W1501425562","https://openalex.org/W2902782467","https://openalex.org/W3084825885","https://openalex.org/W2298861036","https://openalex.org/W2271181815"],"abstract_inverted_index":{"Knowledge":[0],"Graph":[1],"(KG)":[2],"completion":[3,104,150,298],"has":[4,106],"been":[5,108],"widely":[6],"studied":[7],"to":[8,48,85],"tackle":[9],"the":[10,60,76,102,136,173,207,218,223,227,268,276,280,296],"incompleteness":[11],"issue":[12],"(i.e.,":[13],"missing":[14,61],"facts)":[15],"in":[16,21,80,90],"modern":[17],"KGs.":[18],"A":[19],"fact":[20],"a":[22,27,39,57,72,81,111,121,132,156,178,186,200,210,235,245],"KG":[23,103,140,237,254],"is":[24,130],"represented":[25],"as":[26,64,94,110],"triplet":[28,58,229],"(h,":[29,65,160],"r,":[30,66],"t)":[31],"linking":[32],"two":[33,54,77,184],"entities":[34],"h":[35,202],"and":[36,175,188,205,216,230],"t":[37],"via":[38],"relation":[40,112],"r.":[41],"Existing":[42],"work":[43],"mostly":[44],"consider":[45],"link":[46,292],"prediction":[47,113,293],"solve":[49],"this":[50,128,143,145],"problem,":[51],"i.e.,":[52,115,159],"given":[53,78,122,157,179,201],"elements":[55,79],"of":[56,139,183,209,225,248,262],"predicting":[59,117,126],"one,":[62],"such":[63,93],"?).":[67,99,162],"This":[68],"task":[69,129,151,299],"has,":[70],"however,":[71],"strong":[73],"assumption":[74],"on":[75,251,295],"triplet,":[82],"which":[83],"have":[84],"be":[86],"correlated,":[87],"resulting":[88],"otherwise":[89],"meaningless":[91],"predictions,":[92],"(Marie":[95],"Curie,":[96],"headquarters":[97],"location,":[98],"In":[100],"addition,":[101],"problem":[105],"also":[107,288],"formulated":[109],"task,":[114],"when":[116],"relations":[118],"r":[119],"for":[120,155,177,199],"entity":[123],"h.":[124],"Without":[125],"t,":[127],"however":[131],"step":[133],"away":[134],"from":[135],"ultimate":[137],"goal":[138],"completion.":[141],"Against":[142],"background,":[144],"paper":[146],"studies":[147],"an":[148,165],"instance":[149,297],"suggesting":[152],"r-t":[153,197,220,265],"pairs":[154,198,221],"h,":[158],"?,":[161],"We":[163,240],"propose":[164],"end-to-end":[166],"solution":[167],"called":[168],"RETA":[169],"(as":[170],"it":[171],"suggests":[172],"Relation":[174],"Tail":[176],"head":[180],"entity)":[181],"consisting":[182],"components:":[185],"RETA-Filter":[187,193,260],"RETA-Grader.":[189],"More":[190],"precisely,":[191],"our":[192,212,242,259,286],"first":[194],"generates":[195,261],"candidate":[196,219,228,264,277,282],"by":[203,274,300],"extracting":[204],"leveraging":[206],"schema":[208,233],"KG;":[211],"RETA-Grader":[213,287],"then":[214],"evaluates":[215],"ranks":[217],"considering":[222],"plausibility":[224],"both":[226],"its":[231],"corresponding":[232],"using":[234],"newly-designed":[236],"embedding":[238],"model.":[239],"evaluate":[241],"methods":[243],"against":[244],"sizable":[246],"collection":[247],"state-of-the-art":[249,291],"techniques":[250,271,294],"three":[252],"real-world":[253],"datasets.":[255,304],"Results":[256],"show":[257],"that":[258],"high-quality":[263],"pairs,":[266],"outperforming":[267],"best":[269],"baseline":[270],"while":[272],"reducing":[273],"10.61%-84.75%":[275],"size":[278],"under":[279],"same":[281],"quality":[283],"guarantees.":[284],"Moreover,":[285],"significantly":[289],"outperforms":[290],"16.25%-65.92%":[301],"across":[302],"different":[303]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
