{"id":"https://openalex.org/W2912264263","doi":"https://doi.org/10.3390/info10020061","title":"Dynamic Top-K Interesting Subgraph Query on Large-Scale Labeled Graphs","display_name":"Dynamic Top-K Interesting Subgraph Query on Large-Scale Labeled Graphs","publication_year":2019,"publication_date":"2019-02-14","ids":{"openalex":"https://openalex.org/W2912264263","doi":"https://doi.org/10.3390/info10020061","mag":"2912264263"},"language":"en","primary_location":{"id":"doi:10.3390/info10020061","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info10020061","pdf_url":"https://www.mdpi.com/2078-2489/10/2/61/pdf?version=1550294687","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2078-2489/10/2/61/pdf?version=1550294687","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085836123","display_name":"Xiaohuan Shan","orcid":"https://orcid.org/0000-0002-1356-1304"},"institutions":[{"id":"https://openalex.org/I118803816","display_name":"Liaoning University","ror":"https://ror.org/03xpwj629","country_code":"CN","type":"education","lineage":["https://openalex.org/I118803816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohuan Shan","raw_affiliation_strings":["School of Information, Liaoning University, Shenyang, 110036, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information, Liaoning University, Shenyang, 110036, China","institution_ids":["https://openalex.org/I118803816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088498755","display_name":"Chunjie Jia","orcid":null},"institutions":[{"id":"https://openalex.org/I118803816","display_name":"Liaoning University","ror":"https://ror.org/03xpwj629","country_code":"CN","type":"education","lineage":["https://openalex.org/I118803816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunjie Jia","raw_affiliation_strings":["School of Information, Liaoning University, Shenyang, 110036, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information, Liaoning University, Shenyang, 110036, China","institution_ids":["https://openalex.org/I118803816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053261202","display_name":"Linlin Ding","orcid":"https://orcid.org/0000-0002-4524-1647"},"institutions":[{"id":"https://openalex.org/I118803816","display_name":"Liaoning University","ror":"https://ror.org/03xpwj629","country_code":"CN","type":"education","lineage":["https://openalex.org/I118803816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linlin Ding","raw_affiliation_strings":["School of Information, Liaoning University, Shenyang, 110036, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information, Liaoning University, Shenyang, 110036, China","institution_ids":["https://openalex.org/I118803816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073743951","display_name":"Xingyan Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I118803816","display_name":"Liaoning University","ror":"https://ror.org/03xpwj629","country_code":"CN","type":"education","lineage":["https://openalex.org/I118803816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyan Ding","raw_affiliation_strings":["School of Information, Liaoning University, Shenyang, 110036, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information, Liaoning University, Shenyang, 110036, China","institution_ids":["https://openalex.org/I118803816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101780739","display_name":"Baoyan Song","orcid":"https://orcid.org/0000-0003-4285-578X"},"institutions":[{"id":"https://openalex.org/I118803816","display_name":"Liaoning University","ror":"https://ror.org/03xpwj629","country_code":"CN","type":"education","lineage":["https://openalex.org/I118803816"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Baoyan Song","raw_affiliation_strings":["School of Information, Liaoning University, Shenyang, 110036, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information, Liaoning University, Shenyang, 110036, China","institution_ids":["https://openalex.org/I118803816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101780739"],"corresponding_institution_ids":["https://openalex.org/I118803816"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.3062,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.58646498,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"10","issue":"2","first_page":"61","last_page":"61"},"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":0.9973000288009644,"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":0.9846000075340271,"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":0.7546111941337585},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5684717297554016},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5361013412475586},{"id":"https://openalex.org/keywords/subgraph-isomorphism-problem","display_name":"Subgraph isomorphism problem","score":0.48102647066116333},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4750271439552307},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4460695683956146},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.4227808713912964},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4193476736545563},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20968341827392578},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.1329163908958435}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7546111941337585},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5684717297554016},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5361013412475586},{"id":"https://openalex.org/C131992880","wikidata":"https://www.wikidata.org/wiki/Q2528185","display_name":"Subgraph isomorphism problem","level":3,"score":0.48102647066116333},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4750271439552307},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4460695683956146},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.4227808713912964},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4193476736545563},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20968341827392578},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.1329163908958435},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/info10020061","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info10020061","pdf_url":"https://www.mdpi.com/2078-2489/10/2/61/pdf?version=1550294687","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0ecfd4772f104f94b097ba979a388804","is_oa":true,"landing_page_url":"https://doaj.org/article/0ecfd4772f104f94b097ba979a388804","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information, Vol 10, Iss 2, p 61 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2078-2489/10/2/61/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/info10020061","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/info10020061","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info10020061","pdf_url":"https://www.mdpi.com/2078-2489/10/2/61/pdf?version=1550294687","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3546181233","display_name":null,"funder_award_id":"No. 61472169, 61502215","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4447186025","display_name":null,"funder_award_id":"61472169","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4545323467","display_name":null,"funder_award_id":"61502215","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4676155371","display_name":null,"funder_award_id":"No.2016YFC0801406","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5833582419","display_name":null,"funder_award_id":"2016YFC0801406","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2912264263.pdf","grobid_xml":"https://content.openalex.org/works/W2912264263.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1482680420","https://openalex.org/W1509240356","https://openalex.org/W1706263783","https://openalex.org/W1986064749","https://openalex.org/W2035173902","https://openalex.org/W2037704686","https://openalex.org/W2058187230","https://openalex.org/W2094827065","https://openalex.org/W2100586946","https://openalex.org/W2118212234","https://openalex.org/W2123916114","https://openalex.org/W2126359798","https://openalex.org/W2137003407","https://openalex.org/W2140840007","https://openalex.org/W2143363350","https://openalex.org/W2147405597","https://openalex.org/W2149288670","https://openalex.org/W2162214498","https://openalex.org/W2167429959","https://openalex.org/W2183278143","https://openalex.org/W2241555812","https://openalex.org/W2254833717","https://openalex.org/W2294299547","https://openalex.org/W2301494863","https://openalex.org/W2342256727","https://openalex.org/W2342568678","https://openalex.org/W2423652555","https://openalex.org/W2437172682","https://openalex.org/W2470039937","https://openalex.org/W2587155288","https://openalex.org/W2597641993","https://openalex.org/W3106228163","https://openalex.org/W3137705542","https://openalex.org/W6600201224","https://openalex.org/W6684501309","https://openalex.org/W6720107791"],"related_works":["https://openalex.org/W2532922352","https://openalex.org/W2604893261","https://openalex.org/W2361654510","https://openalex.org/W2915540008","https://openalex.org/W2954463587","https://openalex.org/W2382155842","https://openalex.org/W2036065890","https://openalex.org/W2604114816","https://openalex.org/W2049983311","https://openalex.org/W2088946561"],"abstract_inverted_index":{"A":[0],"labeled":[1,42,278],"graph":[2,34,43,106,234,288],"is":[3,12,26,151],"a":[4,95,104,113,171,269,276],"special":[5],"structure":[6],"with":[7,268],"node":[8,114],"identification":[9],"capability,":[10],"which":[11,127,158],"often":[13],"used":[14,28],"in":[15,198],"information":[16],"networks,":[17,19],"biological":[18],"and":[20,45,62,71,93,120,131,136,209,225,236,254,290],"other":[21],"fields.":[22],"The":[23,145,257],"subgraph":[24,99,175,197,273],"query":[25,81,176,274],"widely":[27],"as":[29,221],"an":[30,121,237],"important":[31],"means":[32],"of":[33,40,58,68,73,79,91,182,191,195,202,212,232,251,287,295],"data":[35],"analysis.":[36],"As":[37],"the":[38,41,53,69,77,80,88,133,142,155,180,183,188,192,196,199,203,213,218,229,233,242,248,262,281,284,291,296,301],"size":[39],"increases":[44],"changes":[46,235,289],"dynamically,":[47],"users":[48,92],"tend":[49],"to":[50,60,65,75,163,186,206,246],"focus":[51],"on":[52,154,179,275],"high-match":[54],"results":[55,74,78,194,211,259],"that":[56,138,261],"are":[57,244],"interest":[59],"them,":[61],"they":[63],"want":[64],"take":[66],"advantage":[67],"relationship":[70],"number":[72],"get":[76],"quickly.":[82],"For":[83],"this":[84],"reason,":[85],"we":[86,169],"consider":[87],"individual":[89],"needs":[90],"propose":[94,170],"dynamic":[96,172,189,200,270],"Top-K":[97,173,271],"interesting":[98,174,272],"query.":[100,214],"This":[101],"method":[102,177,264],"establishes":[103],"novel":[105],"topology":[107,115],"feature":[108,116,123],"index":[109,117,124,243,297],"(GTSF":[110],"index)":[111,119],"including":[112],"(NTF":[118],"edge":[122],"(EF":[125],"index),":[126],"can":[128,159,265,298],"effectively":[129,266,299],"prune":[130],"filter":[132],"invalid":[134],"nodes":[135],"edges":[137],"do":[139],"not":[140],"meet":[141],"restricted":[143],"condition.":[144],"multi-factor":[146],"candidate":[147,166],"set":[148],"filtering":[149],"strategy":[150,240,294],"proposed":[152,245,263],"based":[153,178],"GTSF":[156],"index,":[157],"be":[160],"further":[161],"pruned":[162],"obtain":[164],"fewer":[165],"sets.":[167],"Then,":[168],"idea":[181],"sliding":[184],"window":[185],"realize":[187],"modification":[190],"matching":[193],"evolution":[201],"label":[204],"graph,":[205,279],"ensure":[207],"real-time":[208],"accurate":[210],"In":[215],"addition,":[216],"considering":[217],"factors,":[219],"such":[220],"frequent":[222],"Input/Output":[223],"(I/O)":[224],"network":[226],"communication":[227],"overheads,":[228],"optimization":[230,285],"mechanism":[231,286],"incremental":[238,292],"maintenance":[239,293,302],"for":[241],"reduce":[247,300],"huge":[249],"cost":[250],"redundant":[252],"operation":[253],"global":[255],"updates.":[256],"experimental":[258],"show":[260],"deal":[267],"large-scale":[277],"at":[280],"same":[282],"time":[283],"overheads.":[303]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2019-02-21T00:00:00"}