{"id":"https://openalex.org/W4387968168","doi":"https://doi.org/10.1145/3581783.3612184","title":"HELIOS: Hyper-Relational Schema Modeling from Knowledge Graphs","display_name":"HELIOS: Hyper-Relational Schema Modeling from Knowledge Graphs","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387968168","doi":"https://doi.org/10.1145/3581783.3612184"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3612184","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3612184","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612184","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612184","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042609135","display_name":"Yuhuan Lu","orcid":"https://orcid.org/0000-0001-5332-3389"},"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"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Yuhuan Lu","raw_affiliation_strings":["University of Macau, Macao, China"],"raw_orcid":"https://orcid.org/0000-0001-5332-3389","affiliations":[{"raw_affiliation_string":"University of Macau, Macao, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063779357","display_name":"Bangchao Deng","orcid":"https://orcid.org/0000-0002-7084-014X"},"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"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Bangchao Deng","raw_affiliation_strings":["University of Macau, Macao, China"],"raw_orcid":"https://orcid.org/0000-0002-7084-014X","affiliations":[{"raw_affiliation_string":"University of Macau, Macao, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048193554","display_name":"Weijian Yu","orcid":"https://orcid.org/0009-0009-3278-4966"},"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"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Weijian Yu","raw_affiliation_strings":["University of Macau, Macao, China"],"raw_orcid":"https://orcid.org/0009-0009-3278-4966","affiliations":[{"raw_affiliation_string":"University of Macau, Macao, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"last","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"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Dingqi Yang","raw_affiliation_strings":["University of Macau, Macao, China"],"raw_orcid":"https://orcid.org/0000-0002-6831-0422","affiliations":[{"raw_affiliation_string":"University of Macau, Macao, China","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204512498"],"apc_list":null,"apc_paid":null,"fwci":1.0409,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79472258,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4053","last_page":"4064"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9980999827384949,"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/T11719","display_name":"Data Quality and Management","score":0.9696000218391418,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.7630658745765686},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.753340482711792},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7005964517593384},{"id":"https://openalex.org/keywords/star-schema","display_name":"Star schema","score":0.5352080464363098},{"id":"https://openalex.org/keywords/relational-model","display_name":"Relational model","score":0.4726152718067169},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.44452333450317383},{"id":"https://openalex.org/keywords/semi-structured-model","display_name":"Semi-structured model","score":0.4137265086174011},{"id":"https://openalex.org/keywords/database-schema","display_name":"Database schema","score":0.40048283338546753},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3997519016265869},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.39307624101638794},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3278040289878845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3226739764213562},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19362029433250427},{"id":"https://openalex.org/keywords/database-model","display_name":"Database model","score":0.16506317257881165},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.12184646725654602},{"id":"https://openalex.org/keywords/database-design","display_name":"Database design","score":0.10939458012580872}],"concepts":[{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.7630658745765686},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.753340482711792},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7005964517593384},{"id":"https://openalex.org/C190703929","wikidata":"https://www.wikidata.org/wiki/Q1331138","display_name":"Star schema","level":4,"score":0.5352080464363098},{"id":"https://openalex.org/C40207289","wikidata":"https://www.wikidata.org/wiki/Q755662","display_name":"Relational model","level":3,"score":0.4726152718067169},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.44452333450317383},{"id":"https://openalex.org/C56310702","wikidata":"https://www.wikidata.org/wiki/Q2269281","display_name":"Semi-structured model","level":4,"score":0.4137265086174011},{"id":"https://openalex.org/C30775581","wikidata":"https://www.wikidata.org/wiki/Q632285","display_name":"Database schema","level":3,"score":0.40048283338546753},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3997519016265869},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.39307624101638794},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3278040289878845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3226739764213562},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19362029433250427},{"id":"https://openalex.org/C5968703","wikidata":"https://www.wikidata.org/wiki/Q267136","display_name":"Database model","level":3,"score":0.16506317257881165},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.12184646725654602},{"id":"https://openalex.org/C148840519","wikidata":"https://www.wikidata.org/wiki/Q1049878","display_name":"Database design","level":2,"score":0.10939458012580872}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581783.3612184","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3612184","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612184","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3581783.3612184","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3612184","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612184","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3708133647","display_name":null,"funder_award_id":"SKL-IOTSC(UM)-2021-2023","funder_id":"https://openalex.org/F4320322841","funder_display_name":"Universidade de Macau"},{"id":"https://openalex.org/G6621530241","display_name":null,"funder_award_id":"SRG2021-00002-IOTSC","funder_id":"https://openalex.org/F4320322841","funder_display_name":"Universidade de Macau"}],"funders":[{"id":"https://openalex.org/F4320322841","display_name":"Universidade de Macau","ror":"https://ror.org/01r4q9n85"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387968168.pdf","grobid_xml":"https://content.openalex.org/works/W4387968168.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W205829674","https://openalex.org/W1509392121","https://openalex.org/W1529533208","https://openalex.org/W2094728533","https://openalex.org/W2124067180","https://openalex.org/W2151502664","https://openalex.org/W2184957013","https://openalex.org/W2250342289","https://openalex.org/W2283196293","https://openalex.org/W2343431530","https://openalex.org/W2471962373","https://openalex.org/W2539163507","https://openalex.org/W2556343638","https://openalex.org/W2604314403","https://openalex.org/W2612457951","https://openalex.org/W2728059831","https://openalex.org/W2759136286","https://openalex.org/W2787882523","https://openalex.org/W2798459480","https://openalex.org/W2798627260","https://openalex.org/W2802433760","https://openalex.org/W2898786064","https://openalex.org/W2914812111","https://openalex.org/W2918921333","https://openalex.org/W2980532801","https://openalex.org/W3004611733","https://openalex.org/W3010336026","https://openalex.org/W3012846531","https://openalex.org/W3028954154","https://openalex.org/W3030895774","https://openalex.org/W3035102548","https://openalex.org/W3089471855","https://openalex.org/W3102777254","https://openalex.org/W3156178579","https://openalex.org/W3156306687","https://openalex.org/W3175236579","https://openalex.org/W4200329746","https://openalex.org/W4226350104","https://openalex.org/W4243367687","https://openalex.org/W4285606497"],"related_works":["https://openalex.org/W2092058806","https://openalex.org/W2103472145","https://openalex.org/W2153512431","https://openalex.org/W166845585","https://openalex.org/W2093134728","https://openalex.org/W1512552654","https://openalex.org/W1591654213","https://openalex.org/W4238907651","https://openalex.org/W1992271858","https://openalex.org/W1978969411"],"abstract_inverted_index":{"Knowledge":[0],"graph":[1],"(KG)":[2],"schema,":[3,141],"which":[4,142],"prescribes":[5],"a":[6,12,32,47,57,80,103,184,207,222,268],"high-level":[7],"structure":[8],"and":[9,20,34,165,219,251,262],"semantics":[10],"of":[11,59,76,99,102,138,206,216],"KG,":[13],"is":[14,143,252],"significantly":[15],"helpful":[16],"for":[17,68,89],"KG":[18,48,231],"completion":[19],"reasoning":[21],"problems.":[22],"Despite":[23],"its":[24],"usefulness,":[25],"open-domain":[26],"KGs":[27],"do":[28],"not":[29,114,199],"practically":[30],"have":[31],"unified":[33],"fixed":[35],"schema.":[36],"Existing":[37],"approaches":[38,94],"usually":[39],"extract":[40],"schema":[41,129,167,186,195,223,235,270],"information":[42],"using":[43],"entity":[44,51,70,105],"types":[45,60,75,101,164,205,215,261],"from":[46,192],"where":[49],"each":[50,69,157,166],"e":[52],"can":[53],"be":[54],"associated":[55],"with":[56,154],"set":[58,159,173],"{Te,":[61],"by":[62,197,249],"either":[63,95],"heuristically":[64],"taking":[65],"one":[66],"type":[67,117,158],"or":[71,109],"exhaustively":[72],"combining":[73],"the":[74,97,116,121,127,136,201,212],"all":[77,115],"entities":[78,218],"in":[79,221,233,259,267],"fact":[81],"(to":[82],"get":[83],"entity-typed":[84],"tuples,":[85],"(h_type,":[86],"r,":[87,150],"t_type)":[88],"example).":[90],"However,":[91],"these":[92],"two":[93],"overlook":[96],"role":[98],"multiple":[100,163,171,204],"single":[104,208],"across":[106,264],"different":[107,217,234,265],"facts":[108],"introduce":[110],"non-negligible":[111],"noise":[112],"as":[113,145],"combinations":[118],"actually":[119],"support":[120],"fact,":[122],"thus":[123],"failing":[124],"to":[125,189],"capture":[126],"sophisticated":[128],"information.":[130],"Against":[131],"this":[132,179],"background,":[133],"we":[134,181],"study":[135],"problem":[137],"modeling":[139],"hyper-relational":[140,147,185,194,245,269],"formulated":[144],"mixed":[146],"tuples":[148,196],"({Th},":[149],"{Tt},":[151],"k,":[152],"{Tv1},...)":[153],"two-fold":[155],"hyper-relations:":[156],"T":[160],"may":[161,169],"contain":[162,170],"tuple":[168],"key-type":[172],"pairs":[174],"(k,":[175],"Tv).":[176],"To":[177],"address":[178],"problem,":[180],"propose":[182],"HELIOS,":[183],"model":[187],"designed":[188],"subtly":[190],"learn":[191],"such":[193],"capturing":[198],"only":[200],"correlation":[202,213],"between":[203,214],"entity,":[209],"but":[210],"also":[211,253],"relations":[220,263],"tuple.":[224,271],"We":[225],"evaluate":[226],"HELIOS":[227,241],"on":[228],"three":[229],"real-world":[230],"datasets":[232],"prediction":[236,247],"tasks.":[237],"Results":[238],"show":[239],"that":[240],"consistently":[242],"outperforms":[243],"state-of-the-art":[244],"link":[246],"techniques":[248],"20.0-29.7%,":[250],"much":[254],"more":[255],"robust":[256],"than":[257],"baselines":[258],"predicting":[260],"positions":[266]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-08-25T07:29:55.448023","created_date":"2025-10-10T00:00:00"}