{"id":"https://openalex.org/W2586357380","doi":"https://doi.org/10.1109/tpds.2017.2665478","title":"Querying Web-Scale Knowledge Graphs Through Effective Pruning of Search Space","display_name":"Querying Web-Scale Knowledge Graphs Through Effective Pruning of Search Space","publication_year":2017,"publication_date":"2017-02-07","ids":{"openalex":"https://openalex.org/W2586357380","doi":"https://doi.org/10.1109/tpds.2017.2665478","mag":"2586357380"},"language":"en","primary_location":{"id":"doi:10.1109/tpds.2017.2665478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpds.2017.2665478","pdf_url":null,"source":{"id":"https://openalex.org/S97130795","display_name":"IEEE Transactions on Parallel and Distributed Systems","issn_l":"1045-9219","issn":["1045-9219","1558-2183","2161-9883"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Parallel and Distributed 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/A5081458459","display_name":"Jiahui Jin","orcid":"https://orcid.org/0000-0001-9570-1456"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiahui Jin","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045275291","display_name":"Junzhou Luo","orcid":"https://orcid.org/0000-0001-7518-4367"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junzhou Luo","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026130278","display_name":"Samamon Khemmarat","orcid":"https://orcid.org/0000-0003-0947-9209"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]},{"id":"https://openalex.org/I177605424","display_name":"Amherst College","ror":"https://ror.org/028vqfs63","country_code":"US","type":"education","lineage":["https://openalex.org/I177605424"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samamon Khemmarat","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Massachusetts Amherst, Amherst, MA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Massachusetts Amherst, Amherst, MA","institution_ids":["https://openalex.org/I177605424","https://openalex.org/I24603500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019000951","display_name":"Lixin Gao","orcid":"https://orcid.org/0009-0000-8951-091X"},"institutions":[{"id":"https://openalex.org/I177605424","display_name":"Amherst College","ror":"https://ror.org/028vqfs63","country_code":"US","type":"education","lineage":["https://openalex.org/I177605424"]},{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lixin Gao","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Massachusetts Amherst, Amherst, MA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Massachusetts Amherst, Amherst, MA","institution_ids":["https://openalex.org/I177605424","https://openalex.org/I24603500"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5081458459"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":1.0253,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.83734819,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"28","issue":"8","first_page":"2342","last_page":"2356"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9977999925613403,"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/T11106","display_name":"Data Management and Algorithms","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8388789892196655},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.6568596959114075},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5516185164451599},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5396758317947388},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5052018761634827},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5012099742889404},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.46840354800224304},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4340093433856964},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38227948546409607},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2688508629798889},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.23605483770370483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2224196195602417},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12572792172431946}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8388789892196655},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.6568596959114075},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5516185164451599},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5396758317947388},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5052018761634827},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5012099742889404},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.46840354800224304},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4340093433856964},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38227948546409607},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2688508629798889},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.23605483770370483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2224196195602417},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12572792172431946},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tpds.2017.2665478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpds.2017.2665478","pdf_url":null,"source":{"id":"https://openalex.org/S97130795","display_name":"IEEE Transactions on Parallel and Distributed Systems","issn_l":"1045-9219","issn":["1045-9219","1558-2183","2161-9883"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Parallel and Distributed Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1712308114","display_name":null,"funder_award_id":"61502097","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2418499492","display_name":null,"funder_award_id":"93K-9","funder_id":"https://openalex.org/F4320321408","funder_display_name":"Ministry of Education"},{"id":"https://openalex.org/G2538050748","display_name":null,"funder_award_id":"CCF-1018114","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2554326768","display_name":null,"funder_award_id":"61532013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2797774552","display_name":null,"funder_award_id":"61572129","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3810807517","display_name":null,"funder_award_id":"61632008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4239191906","display_name":null,"funder_award_id":"61370207","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7040854951","display_name":null,"funder_award_id":"61572128","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7748320272","display_name":null,"funder_award_id":"CNS-1217284","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8152319438","display_name":null,"funder_award_id":"61320106007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8586357280","display_name":null,"funder_award_id":"61602112","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321408","display_name":"Ministry of Education","ror":"https://ror.org/01p262204"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W200298483","https://openalex.org/W1509240356","https://openalex.org/W1950187626","https://openalex.org/W1971630691","https://openalex.org/W1979493600","https://openalex.org/W1999446611","https://openalex.org/W2005945380","https://openalex.org/W2009688537","https://openalex.org/W2013973777","https://openalex.org/W2016057533","https://openalex.org/W2017828380","https://openalex.org/W2020657191","https://openalex.org/W2050137450","https://openalex.org/W2071333487","https://openalex.org/W2071927086","https://openalex.org/W2082021597","https://openalex.org/W2089247435","https://openalex.org/W2094827065","https://openalex.org/W2096544401","https://openalex.org/W2111607365","https://openalex.org/W2114987320","https://openalex.org/W2118212234","https://openalex.org/W2140840007","https://openalex.org/W2147913014","https://openalex.org/W2167101903","https://openalex.org/W2167429959","https://openalex.org/W2170616854","https://openalex.org/W2171539317","https://openalex.org/W2188272488","https://openalex.org/W2241555812","https://openalex.org/W2324748616","https://openalex.org/W2394534308","https://openalex.org/W2427321582","https://openalex.org/W2666600683","https://openalex.org/W3142851257","https://openalex.org/W6607964021","https://openalex.org/W6653790936"],"related_works":["https://openalex.org/W2373300491","https://openalex.org/W3166204570","https://openalex.org/W1212596013","https://openalex.org/W2378744544","https://openalex.org/W2594301978","https://openalex.org/W3121246613","https://openalex.org/W2379704676","https://openalex.org/W4206442282","https://openalex.org/W2798482732","https://openalex.org/W2384505857"],"abstract_inverted_index":{"Web-scale":[0],"knowledge":[1,22,160],"graphs":[2,12,23],"containing":[3],"billions":[4],"of":[5,73,169,191],"entities":[6],"are":[7,24],"common":[8],"nowadays.":[9],"Querying":[10],"these":[11],"can":[13,139,146,182],"be":[14,62,140,147],"modeled":[15],"as":[16,38,40],"a":[17,95,108,121,150],"subgraph":[18],"matching":[19,36,47,109,127],"problem.":[20],"Since":[21],"incomplete":[25],"and":[26,75,166],"noisy":[27],"in":[28,149],"nature,":[29],"it":[30,60],"is":[31,105,112],"important":[32],"to":[33,43,53,64,70,156,188,194],"discover":[34],"answers":[35,41,93,138],"exactly":[37],"well":[39],"similar":[42],"queries.":[44],"Existing":[45],"graph":[46,51,67,100],"algorithms":[48],"usually":[49],"use":[50],"indices":[52,68],"accelerate":[54,116],"query":[55,97,117,158],"processing.":[56],"For":[57],"billion-node":[58],"graphs,":[59],"may":[61],"infeasible":[63],"build":[65],"the":[66,71,76,90,126,130,135,164,167,184],"due":[69],"amount":[72],"work":[74],"memory/":[77],"storage":[78],"required.":[79],"In":[80],"this":[81],"paper,":[82],"we":[83,119],"propose":[84,120],"an":[85,195],"efficient":[86],"algorithm":[87],"for":[88,94,124],"finding":[89],"best":[91],"k":[92],"given":[96],"without":[98,197],"precomputing":[99],"indices.":[101],"An":[102],"answer's":[103],"quality":[104,137],"measured":[106],"by":[107],"score":[110],"that":[111,178],"computed":[113],"online.":[114],"To":[115],"processing,":[118],"novel":[122],"technique":[123,145,181],"bounding":[125,144,180],"scores":[128],"during":[129],"computation.":[131],"By":[132],"using":[133,198],"bounds,":[134],"low":[136],"efficiently":[141,157],"pruned.":[142],"The":[143,175],"implemented":[148],"distributed":[151],"environment,":[152],"allowing":[153],"our":[154,170,179],"approach":[155,171,196],"web-scale":[159],"graphs.":[161],"We":[162],"evaluate":[163],"effectiveness":[165],"efficiency":[168],"on":[172],"real-world":[173],"datasets.":[174],"result":[176],"shows":[177],"reduce":[183],"running":[185],"time":[186],"up":[187],"two":[189],"orders":[190],"magnitude":[192],"comparing":[193],"bounds.":[199]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}