{"id":"https://openalex.org/W4285145036","doi":"https://doi.org/10.1109/tkde.2022.3174570","title":"Graph Stream Sketch: Summarizing Graph Streams With High Speed and Accuracy","display_name":"Graph Stream Sketch: Summarizing Graph Streams With High Speed and Accuracy","publication_year":2022,"publication_date":"2022-05-12","ids":{"openalex":"https://openalex.org/W4285145036","doi":"https://doi.org/10.1109/tkde.2022.3174570"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2022.3174570","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3174570","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","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/A5047203712","display_name":"Xiangyang Gou","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiangyang Gou","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033785339","display_name":"Lei Zou","orcid":"https://orcid.org/0000-0002-8586-4400"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zou","raw_affiliation_strings":["Beijing Institute of Big Data Research and National Engineering Laboratory for Big Data Analysis Technology and Application (PKU), Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Big Data Research and National Engineering Laboratory for Big Data Analysis Technology and Application (PKU), Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210096250","https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019750903","display_name":"Chenxingyu Zhao","orcid":"https://orcid.org/0000-0001-8528-1689"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenxingyu Zhao","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069277955","display_name":"Tong Yang","orcid":"https://orcid.org/0000-0003-2402-5854"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Yang","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5047203712"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":1.9144,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.87204145,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"35","issue":"6","first_page":"5901","last_page":"5914"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9997000098228455,"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":0.9997000098228455,"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/T11478","display_name":"Caching and Content Delivery","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10772","display_name":"Distributed systems and fault tolerance","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.7118117213249207},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.599738359451294},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.5540739297866821},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5020027160644531},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4680684804916382},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.4440458118915558},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.4367787539958954},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30111074447631836},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.18276414275169373}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7118117213249207},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.599738359451294},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.5540739297866821},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5020027160644531},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4680684804916382},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.4440458118915558},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.4367787539958954},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30111074447631836},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.18276414275169373}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2022.3174570","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3174570","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[{"id":"https://openalex.org/G285475101","display_name":null,"funder_award_id":"61932001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6466554678","display_name":null,"funder_award_id":"U20A20174","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1590701623","https://openalex.org/W1865797552","https://openalex.org/W1967521717","https://openalex.org/W1977458171","https://openalex.org/W1979110895","https://openalex.org/W1983193888","https://openalex.org/W1990416909","https://openalex.org/W1997010704","https://openalex.org/W2004110412","https://openalex.org/W2012549717","https://openalex.org/W2100132188","https://openalex.org/W2108599226","https://openalex.org/W2111350126","https://openalex.org/W2111849286","https://openalex.org/W2114054421","https://openalex.org/W2130747448","https://openalex.org/W2157207306","https://openalex.org/W2165753192","https://openalex.org/W2168924255","https://openalex.org/W2169653785","https://openalex.org/W2201148259","https://openalex.org/W2278390984","https://openalex.org/W2292193262","https://openalex.org/W2418808916","https://openalex.org/W2434543269","https://openalex.org/W2439904216","https://openalex.org/W2569757174","https://openalex.org/W2604668004","https://openalex.org/W2622821517","https://openalex.org/W2794586346","https://openalex.org/W2902924632","https://openalex.org/W2962936633","https://openalex.org/W2963727551","https://openalex.org/W2985169463","https://openalex.org/W2996843076","https://openalex.org/W3013987090","https://openalex.org/W3036364901","https://openalex.org/W3099747923","https://openalex.org/W3101346938","https://openalex.org/W3173178674","https://openalex.org/W3175214555","https://openalex.org/W3217295214","https://openalex.org/W4245082111","https://openalex.org/W4247110288","https://openalex.org/W4300088155","https://openalex.org/W6683946301","https://openalex.org/W6731766985"],"related_works":["https://openalex.org/W4213150077","https://openalex.org/W2369410163","https://openalex.org/W2982430984","https://openalex.org/W2078477160","https://openalex.org/W2059018062","https://openalex.org/W2604585036","https://openalex.org/W1991172810","https://openalex.org/W125803343","https://openalex.org/W1989103179","https://openalex.org/W2117632582"],"abstract_inverted_index":{"A":[0],"graph":[1,28,59,65,84,120,148,173],"stream":[2,85],"is":[3,130,159,179,191,210,217,228,232],"a":[4,26,106,194],"continuous":[5],"sequence":[6],"of":[7,58,83,91,98,134,145,185],"data":[8,62],"items,":[9],"in":[10,39,172,197,221],"which":[11,122],"each":[12],"item":[13],"indicates":[14],"an":[15],"edge,":[16],"including":[17],"its":[18,176],"two":[19],"endpoints":[20],"and":[21,47,54,72,137,141,175,203,212,225],"edge":[22,132,222],"weight.":[23],"It":[24],"forms":[25],"dynamic":[27],"that":[29,156,207],"changes":[30],"with":[31,150],"every":[32],"item.":[33],"Graph":[34],"streams":[35,149],"play":[36],"important":[37],"roles":[38],"cyber":[40],"security,":[41],"social":[42],"networks,":[43],"cloud":[44],"troubleshooting":[45],"systems":[46],"more.":[48],"Due":[49],"to":[50,117,161],"the":[51,69,73,119,131,135,166,186,226],"vast":[52],"volume":[53],"high":[55,138],"update":[56,139],"speed":[57],"streams,":[60,121,174],"traditional":[61],"structures":[63],"for":[64,115],"storage":[66],"such":[67,208],"as":[68,180,182,193],"adjacency":[70,74,167,187],"matrix":[71],"list":[75,168],"are":[76],"no":[77],"longer":[78],"sufficient.":[79],"However,":[80],"prior":[81],"art":[82],"summarization":[86],"either":[87],"supports":[88,142],"limited":[89],"kinds":[90,144],"queries":[92,146],"or":[93],"suffers":[94],"from":[95],"poor":[96],"accuracy":[97],"query":[99],"results.":[100],"In":[101],"this":[102],"paper,":[103],"we":[104],"propose":[105],"novel":[107],"<i>G</i>":[108],"raph":[109],"<i>S</i>":[110,112],"tream":[111],"ketch":[113],"(GSS":[114],"short)":[116],"summarize":[118],"has":[123],"linear":[124],"space":[125],"cost":[126],"<inline-formula><tex-math":[127,183,219,230],"notation=\"LaTeX\">$O(|E|)$</tex-math></inline-formula>":[128],"(E":[129],"set":[133],"graph)":[136],"speed,":[140],"most":[143],"over":[147],"controllable":[151],"errors.":[152],"Experimental":[153],"results":[154,205],"show":[155],"our":[157,198],"solution":[158],"up":[160],"142":[162],"times":[163],"faster":[164],"than":[165],"when":[169],"processing":[170],"updates":[171],"memory":[177],"consumption":[178],"small":[181,211],"notation=\"LaTeX\">$30\\%$</tex-math></inline-formula>":[184],"list.":[188],"Though":[189],"error":[190,209,216],"introduced":[192],"trade":[195],"off":[196],"solution,":[199],"both":[200],"theoretical":[201],"analysis":[202],"experiment":[204],"confirm":[206],"controllable.":[213],"The":[214],"relative":[215],"below":[218],"notation=\"LaTeX\">$10^{-2}$</tex-math></inline-formula>":[220],"weight":[223],"query,":[224],"precision":[227],"above":[229],"notation=\"LaTeX\">$90\\%$</tex-math></inline-formula>":[231],"1-hop":[233],"precursor/successor":[234],"queries.":[235]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}