{"id":"https://openalex.org/W2160459668","doi":"https://doi.org/10.1145/2463676.2467799","title":"Trinity","display_name":"Trinity","publication_year":2013,"publication_date":"2013-06-22","ids":{"openalex":"https://openalex.org/W2160459668","doi":"https://doi.org/10.1145/2463676.2467799","mag":"2160459668"},"language":"en","primary_location":{"id":"doi:10.1145/2463676.2467799","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2463676.2467799","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data","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/A5101518422","display_name":"Bin Shao","orcid":"https://orcid.org/0000-0002-9790-5687"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Shao","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063351917","display_name":"Haixun Wang","orcid":"https://orcid.org/0009-0007-0773-7004"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haixun Wang","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101898982","display_name":"Yatao Li","orcid":"https://orcid.org/0000-0002-0696-4631"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yatao Li","raw_affiliation_strings":["HKUST, Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HKUST, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":58.2918,"has_fulltext":false,"cited_by_count":434,"citation_normalized_percentile":{"value":0.99930876,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"505","last_page":"516"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12292","display_name":"Graph Theory and Algorithms","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9976999759674072,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8843035697937012},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4920729994773865},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.47953200340270996},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.47352954745292664},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.47051018476486206},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4628670811653137},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4449957609176636},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4168745279312134},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4101719856262207},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3630219101905823},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1767096221446991},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.15785840153694153},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.14831525087356567}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8843035697937012},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4920729994773865},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.47953200340270996},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.47352954745292664},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.47051018476486206},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4628670811653137},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4449957609176636},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4168745279312134},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4101719856262207},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3630219101905823},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1767096221446991},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.15785840153694153},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.14831525087356567}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2463676.2467799","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2463676.2467799","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data","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":34,"referenced_works":["https://openalex.org/W78077100","https://openalex.org/W1482680420","https://openalex.org/W1734799737","https://openalex.org/W1749271337","https://openalex.org/W1788180225","https://openalex.org/W1989009626","https://openalex.org/W2003597767","https://openalex.org/W2027098792","https://openalex.org/W2046526098","https://openalex.org/W2056524360","https://openalex.org/W2108026089","https://openalex.org/W2110942501","https://openalex.org/W2118212234","https://openalex.org/W2119738171","https://openalex.org/W2123722246","https://openalex.org/W2124200646","https://openalex.org/W2133394135","https://openalex.org/W2138605095","https://openalex.org/W2143149536","https://openalex.org/W2144518192","https://openalex.org/W2165836394","https://openalex.org/W2167927436","https://openalex.org/W2170616854","https://openalex.org/W2171539317","https://openalex.org/W2173213060","https://openalex.org/W2189465200","https://openalex.org/W2283762717","https://openalex.org/W2397165995","https://openalex.org/W2611515161","https://openalex.org/W2999097477","https://openalex.org/W3106753174","https://openalex.org/W6637631891","https://openalex.org/W6638233953","https://openalex.org/W7056210342"],"related_works":["https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W4244478748","https://openalex.org/W2910064364","https://openalex.org/W4255224757","https://openalex.org/W2499527417","https://openalex.org/W2218513093"],"abstract_inverted_index":{"Computations":[0],"performed":[1],"by":[2,36],"graph":[3,37,66,83,95,159,172,179],"algorithms":[4],"are":[5],"data":[6,15,147],"driven,":[7],"and":[8,77,101,107,121,149,161],"require":[9],"a":[10,63,69,129,136],"high":[11,137,177],"degree":[12],"of":[13,31,54],"random":[14,33],"access.":[16],"Despite":[17],"the":[18,29,40,51],"great":[19,154],"progresses":[20],"made":[21],"in":[22,98,168],"disk":[23],"technology,":[24],"it":[25],"still":[26],"cannot":[27],"provide":[28],"level":[30,138],"efficient":[32,88,117],"access":[34,96],"required":[35],"computation.":[38],"On":[39],"other":[41],"hand,":[42],"memory-based":[43],"approaches":[44],"usually":[45],"do":[46],"not":[47],"scale":[48],"due":[49],"to":[50,104,115,145],"capacity":[52],"limit":[53],"single":[55],"machines.":[56,132],"In":[57,91],"this":[58],"paper,":[59],"we":[60],"introduce":[61],"Trinity,":[62],"general":[64,157],"purpose":[65,158],"engine":[67],"over":[68],"distributed":[70],"memory":[71,75,106],"cloud.":[72],"Through":[73],"optimized":[74],"management":[76,160],"network":[78],"communication,":[79],"Trinity":[80,93,114,134],"supports":[81],"fast":[82],"exploration":[84],"as":[85,87,174,176],"well":[86,175],"parallel":[89],"computing.":[90,162],"particular,":[92],"leverages":[94],"patterns":[97],"both":[99,169],"online":[100,118],"offline":[102,122],"computation":[103],"optimize":[105],"communication":[108,150],"for":[109,143,156],"best":[110],"performance.":[111],"These":[112],"enable":[113],"support":[116],"query":[119],"processing":[120],"analytics":[123,180],"on":[124,181],"large":[125],"graphs":[126],"with":[127],"just":[128],"few":[130],"commodity":[131],"Furthermore,":[133],"provides":[135],"specification":[139],"language":[140],"called":[141],"TSL":[142],"users":[144],"declare":[146],"schema":[148],"protocols,":[151],"which":[152],"brings":[153],"ease-of-use":[155],"Our":[163],"experiments":[164],"show":[165],"Trinity's":[166],"performance":[167],"low":[170],"latency":[171],"queries":[173],"throughput":[178],"web-scale,":[182],"billion-node":[183],"graphs.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":24},{"year":2020,"cited_by_count":33},{"year":2019,"cited_by_count":37},{"year":2018,"cited_by_count":36},{"year":2017,"cited_by_count":50},{"year":2016,"cited_by_count":75},{"year":2015,"cited_by_count":75},{"year":2014,"cited_by_count":48},{"year":2013,"cited_by_count":13},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-06-24T00:00:00"}