{"id":"https://openalex.org/W2998635054","doi":"https://doi.org/10.1145/3336191.3371772","title":"GREASE: A Generative Model for Relevance Search over Knowledge Graphs","display_name":"GREASE: A Generative Model for Relevance Search over Knowledge Graphs","publication_year":2020,"publication_date":"2020-01-20","ids":{"openalex":"https://openalex.org/W2998635054","doi":"https://doi.org/10.1145/3336191.3371772","mag":"2998635054"},"language":"en","primary_location":{"id":"doi:10.1145/3336191.3371772","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3336191.3371772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"type":"preprint","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/A5016330639","display_name":"Tianshuo Zhou","orcid":"https://orcid.org/0009-0008-4804-0825"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tianshuo Zhou","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422866","display_name":"Ziyang Li","orcid":"https://orcid.org/0009-0001-3084-1308"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyang Li","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063617509","display_name":"Gong Cheng","orcid":"https://orcid.org/0000-0003-3539-7776"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gong Cheng","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100384727","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0002-4021-4228"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["University College London, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University College London, London, United Kingdom","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101660807","display_name":"Wei Y","orcid":"https://orcid.org/0000-0002-8187-4011"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu'Ang Wei","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5016330639"],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":0.58743819,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.71295611,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"780","last_page":"788"},"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":0.9993000030517578,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.992900013923645,"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/relevance","display_name":"Relevance (law)","score":0.8138384819030762},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7384206652641296},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.6874499320983887},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6317911148071289},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6287919282913208},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.5876607298851013},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4757744371891022},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.452228307723999},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4385085701942444},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4104345440864563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3269382119178772},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.26408714056015015},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.15492254495620728}],"concepts":[{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.8138384819030762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7384206652641296},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.6874499320983887},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6317911148071289},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6287919282913208},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.5876607298851013},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4757744371891022},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.452228307723999},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4385085701942444},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4104345440864563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3269382119178772},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.26408714056015015},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.15492254495620728},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3336191.3371772","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3336191.3371772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W103340358","https://openalex.org/W1552847225","https://openalex.org/W2010921004","https://openalex.org/W2023628976","https://openalex.org/W2024988577","https://openalex.org/W2029249040","https://openalex.org/W2063999654","https://openalex.org/W2098711168","https://openalex.org/W2107569009","https://openalex.org/W2109480754","https://openalex.org/W2295128594","https://openalex.org/W2354939339","https://openalex.org/W2441800701","https://openalex.org/W2501364796","https://openalex.org/W2507683862","https://openalex.org/W2520469311","https://openalex.org/W2564084673","https://openalex.org/W2623953357","https://openalex.org/W2906964720","https://openalex.org/W2963224980"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4395044357","https://openalex.org/W4287117424","https://openalex.org/W4387506531","https://openalex.org/W2087346071","https://openalex.org/W2967848559","https://openalex.org/W4299831724"],"abstract_inverted_index":{"Relevance":[0,19],"search":[1],"is":[2,20,115],"to":[3,15,53,62,93,111,118],"find":[4],"top-ranked":[5],"entities":[6],"in":[7,74,141],"a":[8,16,24,31,79,98,101],"knowledge":[9],"graph":[10],"(KG)":[11],"that":[12,121,132],"are":[13],"relevant":[14],"query":[17,109],"entity.":[18],"ambiguous,":[21],"particularly":[22],"over":[23,83],"schema-rich":[25],"KG":[26],"like":[27],"DBpedia":[28],"which":[29],"supports":[30],"wide":[32],"range":[33],"of":[34,37,43,104,106,138],"different":[35],"semantics":[36,105],"relevance":[38,67,86,96],"based":[39,95],"on":[40,127],"numerous":[41],"types":[42],"relations":[44],"and":[45,144],"attributes.":[46],"As":[47],"users":[48],"may":[49],"lack":[50],"the":[51,55,64,108,136,139],"expertise":[52],"formalize":[54],"desired":[56],"semantics,":[57],"supervised":[58],"methods":[59],"have":[60],"emerged":[61],"learn":[63],"hidden":[65],"user-defined":[66],"from":[68],"user-provided":[69],"examples.":[70],"Along":[71],"this":[72,75],"line,":[73],"paper":[76],"we":[77],"propose":[78],"novel":[80],"generative":[81],"model":[82,91],"KGs":[84,130],"for":[85],"search,":[87],"named":[88],"GREASE.":[89],"The":[90],"applies":[92],"meta-path":[94,99],"where":[97],"characterizes":[100],"particular":[102],"type":[103],"relating":[107],"entity":[110],"answer":[112,123],"entities.":[113,124],"It":[114],"also":[116],"extended":[117],"support":[119],"properties":[120],"constrain":[122],"Extensive":[125],"experiments":[126],"two":[128],"large-scale":[129],"demonstrate":[131],"GREASE":[133],"has":[134],"advanced":[135],"state":[137],"art":[140],"effectiveness,":[142],"expressiveness,":[143],"efficiency.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}