{"id":"https://openalex.org/W4313426558","doi":"https://doi.org/10.1145/3533769","title":"Knowledge Base Embedding for Sampling-Based Prediction","display_name":"Knowledge Base Embedding for Sampling-Based Prediction","publication_year":2022,"publication_date":"2022-06-11","ids":{"openalex":"https://openalex.org/W4313426558","doi":"https://doi.org/10.1145/3533769"},"language":"en","primary_location":{"id":"doi:10.1145/3533769","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3533769","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-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/A5027015677","display_name":"Richong Zhang","orcid":"https://orcid.org/0000-0002-1207-0300"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Richong Zhang","raw_affiliation_strings":["SKLSDE, School of Computer Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1207-0300","affiliations":[{"raw_affiliation_string":"SKLSDE, School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056982192","display_name":"Jaein Kim","orcid":"https://orcid.org/0000-0002-7965-9523"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jaein Kim","raw_affiliation_strings":["SKLSDE, School of Computer Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7965-9523","affiliations":[{"raw_affiliation_string":"SKLSDE, School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023760087","display_name":"Jiacheng Mei","orcid":"https://orcid.org/0000-0001-6872-4265"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajie Mei","raw_affiliation_strings":["SKLSDE, School of Computer Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6872-4265","affiliations":[{"raw_affiliation_string":"SKLSDE, School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004793184","display_name":"Yongyi Mao","orcid":"https://orcid.org/0000-0001-5298-5778"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yongyi Mao","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada"],"raw_orcid":"https://orcid.org/0000-0001-5298-5778","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada","institution_ids":["https://openalex.org/I153718931"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1387,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5741757,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"41","issue":"2","first_page":"1","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9984999895095825,"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":0.9943000078201294,"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":0.8281240463256836},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.6519227027893066},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.6170302629470825},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5963135361671448},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5918160676956177},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5869700312614441},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5803724527359009},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5404276847839355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.531904935836792},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4707420766353607},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4439944922924042},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4218646287918091},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.4147951602935791},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10168489813804626}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8281240463256836},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.6519227027893066},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.6170302629470825},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5963135361671448},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5918160676956177},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5869700312614441},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5803724527359009},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5404276847839355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.531904935836792},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4707420766353607},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4439944922924042},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4218646287918091},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.4147951602935791},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10168489813804626},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3533769","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3533769","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G88417457","display_name":null,"funder_award_id":"2021ZD0110700","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320326978","display_name":"State Key Laboratory of Software Development Environment","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W68132019","https://openalex.org/W102708294","https://openalex.org/W1426956448","https://openalex.org/W1522301498","https://openalex.org/W1583837637","https://openalex.org/W1965555277","https://openalex.org/W2022166150","https://openalex.org/W2079814255","https://openalex.org/W2094728533","https://openalex.org/W2283196293","https://openalex.org/W2556343638","https://openalex.org/W2604272474","https://openalex.org/W2766696615","https://openalex.org/W2798965707","https://openalex.org/W2799174516","https://openalex.org/W2914393402","https://openalex.org/W2923964967","https://openalex.org/W2954127006","https://openalex.org/W2963223306","https://openalex.org/W3035336738","https://openalex.org/W3081520483","https://openalex.org/W4311415873"],"related_works":["https://openalex.org/W1518185400","https://openalex.org/W2081900870","https://openalex.org/W3200586296","https://openalex.org/W4230332972","https://openalex.org/W1998033311","https://openalex.org/W4247322236","https://openalex.org/W4231165741","https://openalex.org/W233457313","https://openalex.org/W4295104149","https://openalex.org/W3160516639"],"abstract_inverted_index":{"Each":[0],"link":[1,12,37,73,90],"prediction":[2,13,38,74,91],"task":[3,14],"requires":[4],"different":[5],"degrees":[6],"of":[7,21,35,49,55,59,87,119],"answer":[8],"diversity.":[9],"While":[10],"a":[11,19,27,36,46,56,113],"may":[15,24],"expect":[16,25],"up":[17],"to":[18,99,135,154],"couple":[20],"answers,":[22],"another":[23],"nearly":[26],"hundred":[28],"answers.":[29,60],"Given":[30],"this":[31,65],"fact,":[32],"the":[33,107,117,130,136,141,146,149],"performance":[34],"model":[39,94,97,103,115,132,151],"can":[40],"be":[41],"estimated":[42,53],"more":[43],"accurately":[44],"if":[45],"flexible":[47],"number":[48,58],"obtained":[50],"answers":[51],"are":[52],"instead":[54],"predefined":[57],"Inspired":[61],"by":[62],"this,":[63],"in":[64],"article,":[66],"we":[67,83],"analyze":[68],"two":[69,85],"evaluation":[70],"criteria":[71],"for":[72],"tasks,":[75],"respectively":[76],"ranking-based":[77],"protocol":[78],"and":[79,95],"sampling-based":[80,108,147],"protocol.":[81,109,144],"Furthermore,":[82],"study":[84,127],"classes":[86],"models":[88],"on":[89],"task,":[92],"direct":[93],"latent-variable":[96,102,114],"respectively,":[98],"demonstrate":[100],"that":[101,129],"performs":[104,133],"better":[105],"under":[106,140],"We":[110],"then":[111],"propose":[112],"where":[116],"framework":[118],"Conditional":[120],"Variational":[121],"AutoEncoder":[122],"(CVAE)":[123],"is":[124,152],"applied.":[125],"Experimental":[126],"suggests":[128],"proposed":[131,150],"comparably":[134],"current":[137],"state-of-the-art":[138,157],"even":[139],"conventional":[142],"rank-based":[143],"Under":[145],"protocol,":[148],"shown":[153],"outperform":[155],"various":[156],"models.":[158]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
