{"id":"https://openalex.org/W4290875505","doi":"https://doi.org/10.1145/3534678.3539338","title":"LinE: Logical Query Reasoning over Hierarchical Knowledge Graphs","display_name":"LinE: Logical Query Reasoning over Hierarchical Knowledge Graphs","publication_year":2022,"publication_date":"2022-08-12","ids":{"openalex":"https://openalex.org/W4290875505","doi":"https://doi.org/10.1145/3534678.3539338"},"language":"en","primary_location":{"id":"doi:10.1145/3534678.3539338","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3534678.3539338","pdf_url":null,"source":{"id":"https://openalex.org/S4363608767","display_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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/A5079175213","display_name":"Zijian Huang","orcid":"https://orcid.org/0000-0002-0789-7389"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"Zijian Huang","raw_affiliation_strings":["The University of Auckland, Auckland, New Zealand"],"affiliations":[{"raw_affiliation_string":"The University of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024176415","display_name":"Meng-Fen Chiang","orcid":null},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Meng-Fen Chiang","raw_affiliation_strings":["The University of Auckland, Auckland, New Zealand"],"affiliations":[{"raw_affiliation_string":"The University of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091716232","display_name":"Wang-Chien Lee","orcid":"https://orcid.org/0000-0002-8949-489X"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wang-Chien Lee","raw_affiliation_strings":["The Pennsylvania State University, University Park, PA, USA"],"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079175213"],"corresponding_institution_ids":["https://openalex.org/I154130895"],"apc_list":null,"apc_paid":null,"fwci":1.767,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.8699095,"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":"615","last_page":"625"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9984999895095825,"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":0.9937999844551086,"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/conjunctive-query","display_name":"Conjunctive query","score":0.7024641036987305},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6572080254554749},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5253638029098511},{"id":"https://openalex.org/keywords/negation","display_name":"Negation","score":0.44106823205947876},{"id":"https://openalex.org/keywords/logical-consequence","display_name":"Logical consequence","score":0.43296319246292114},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.41128334403038025},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37634533643722534},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.3642822802066803},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.16834813356399536},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.15182939171791077}],"concepts":[{"id":"https://openalex.org/C65647387","wikidata":"https://www.wikidata.org/wiki/Q1781706","display_name":"Conjunctive query","level":3,"score":0.7024641036987305},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6572080254554749},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5253638029098511},{"id":"https://openalex.org/C2185349","wikidata":"https://www.wikidata.org/wiki/Q190558","display_name":"Negation","level":2,"score":0.44106823205947876},{"id":"https://openalex.org/C134752490","wikidata":"https://www.wikidata.org/wiki/Q374182","display_name":"Logical consequence","level":2,"score":0.43296319246292114},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.41128334403038025},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37634533643722534},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.3642822802066803},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.16834813356399536},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.15182939171791077},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3534678.3539338","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3534678.3539338","pdf_url":null,"source":{"id":"https://openalex.org/S4363608767","display_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2081580037","https://openalex.org/W2728059831","https://openalex.org/W2963690776","https://openalex.org/W3024683329","https://openalex.org/W3035134435","https://openalex.org/W3115652744","https://openalex.org/W3153088333","https://openalex.org/W3192421672","https://openalex.org/W3211651881"],"related_works":["https://openalex.org/W2347489347","https://openalex.org/W1558141798","https://openalex.org/W4288287352","https://openalex.org/W2959628155","https://openalex.org/W2139894293","https://openalex.org/W4385764417","https://openalex.org/W4225313306","https://openalex.org/W4288046530","https://openalex.org/W2824138733","https://openalex.org/W1576014289"],"abstract_inverted_index":{"Logical":[0],"reasoning":[1,86,174],"over":[2,15],"Knowledge":[3],"Graphs":[4],"(KGs)":[5],"for":[6,91,185],"first-order":[7],"logic":[8,102],"(FOL)":[9],"queries":[10,49,188],"performs":[11],"the":[12,66,79,96,101,153],"query":[13,60,85,142,161],"inference":[14],"KGs":[16,71],"with":[17],"logical":[18,84,127,136,145],"operators,":[19],"including":[20],"conjunction,":[21],"disjunction,":[22],"existential":[23],"quantification":[24],"and":[25,48,75,126,134,147,189],"negation,":[26],"to":[27,45,65,119,138,151],"approximate":[28],"true":[29],"answers":[30],"in":[31,69],"embedding":[32,155],"spaces.":[33],"However,":[34],"most":[35],"existing":[36],"work":[37],"imposes":[38],"strong":[39,182],"distributional":[40,52,97],"assumptions":[41],"(e.g.,":[42,72],"Beta":[43],"distribution)":[44],"represent":[46],"entities":[47],"into":[50],"presumed":[51],"shape,":[53],"which":[54,106,165],"limits":[55],"their":[56],"expressive":[57],"power.":[58],"Moreover,":[59],"embeddings":[61,114,121,143],"are":[62],"challenging":[63],"due":[64],"relational":[67,187],"complexities":[68],"multi-relational":[70,125],"symmetry,":[73],"anti-symmetry":[74],"transitivity).":[76],"To":[77,94,123],"bridge":[78],"gap,":[80],"we":[81,99,129,157],"propose":[82],"a":[83,108,159],"framework,":[87],"Line":[88],"Embedding":[89],"(LinE),":[90],"FOL":[92,160],"queries.":[93,191],"relax":[95],"assumptions,":[98],"introduce":[100],"space":[103,118],"transformation":[104],"layer,":[105],"is":[107],"generic":[109],"neural":[110,131],"function":[111],"that":[112],"converts":[113],"from":[115,163],"probabilistic":[116],"distribution":[117],"LinE":[120,141,154,177],"space.":[122],"tackle":[124],"complexities,":[128],"formulate":[130],"relation-specific":[132],"projections":[133],"individual":[135],"operators":[137],"truthfully":[139],"ground":[140],"on":[144,178],"regularities":[146],"KG":[148],"factoids.":[149],"Lastly,":[150],"verify":[152],"quality,":[156],"generate":[158],"dataset":[162],"WordNet,":[164],"richly":[166],"encompasses":[167],"hierarchical":[168],"relations.":[169],"Extensive":[170],"experiments":[171],"show":[172],"superior":[173],"sensitivity":[175],"of":[176],"three":[179],"benchmarks":[180],"against":[181],"baselines,":[183],"particularly":[184],"multi-hop":[186],"negation-related":[190]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
