{"id":"https://openalex.org/W2963924281","doi":"https://doi.org/10.1109/icde.2019.00172","title":"A Fast Sketch Method for Mining User Similarities Over Fully Dynamic Graph Streams","display_name":"A Fast Sketch Method for Mining User Similarities Over Fully Dynamic Graph Streams","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2963924281","doi":"https://doi.org/10.1109/icde.2019.00172","mag":"2963924281"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2019.00172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2019.00172","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 35th International Conference on Data Engineering (ICDE)","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/A5101742841","display_name":"Peng Jia","orcid":"https://orcid.org/0000-0003-2190-8934"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peng Jia","raw_affiliation_strings":["MOE Key Laboratory for Intelligent Networks and Network Security, Xi\u2019an Jiaotong University, China","MOE Key Laboratory for Intelligent Networks and Network Security, Xi'an Jiaotong University, China"],"affiliations":[{"raw_affiliation_string":"MOE Key Laboratory for Intelligent Networks and Network Security, Xi\u2019an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"MOE Key Laboratory for Intelligent Networks and Network Security, Xi'an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022240408","display_name":"Pinghui Wang","orcid":"https://orcid.org/0000-0001-5779-6108"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pinghui Wang","raw_affiliation_strings":["MOE Key Laboratory for Intelligent Networks and Network Security, Xi\u2019an Jiaotong University, China","MOE Key Laboratory for Intelligent Networks and Network Security, Xi'an Jiaotong University, China"],"affiliations":[{"raw_affiliation_string":"MOE Key Laboratory for Intelligent Networks and Network Security, Xi\u2019an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"MOE Key Laboratory for Intelligent Networks and Network Security, Xi'an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101516220","display_name":"Jing Tao","orcid":"https://orcid.org/0009-0009-3911-4260"},"institutions":[{"id":"https://openalex.org/I4210108865","display_name":"Zhejiang Institute of Communications","ror":"https://ror.org/01q17sd51","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210108865"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Tao","raw_affiliation_strings":["Zhejiang Research Institute, Xi\u2019an Jiaotong University, Hangzhou, China","Zhejiang Research Institute, Xi'an Jiaotong University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang Research Institute, Xi\u2019an Jiaotong University, Hangzhou, China","institution_ids":["https://openalex.org/I4210108865","https://openalex.org/I87445476"]},{"raw_affiliation_string":"Zhejiang Research Institute, Xi'an Jiaotong University, Hangzhou, China","institution_ids":["https://openalex.org/I4210108865","https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075845093","display_name":"Xiaohong Guan","orcid":"https://orcid.org/0000-0002-8826-0362"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohong Guan","raw_affiliation_strings":["Department of Automation and NLIST Lab, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation and NLIST Lab, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101742841"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.8401,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.80181355,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1682","last_page":"1685"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","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"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","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/T11478","display_name":"Caching and Content Delivery","score":0.9988999962806702,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.8535563349723816},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8525902628898621},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5936916470527649},{"id":"https://openalex.org/keywords/streams","display_name":"STREAMS","score":0.5462576150894165},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5079489350318909},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.4792230725288391},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.445297509431839},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4451156556606293},{"id":"https://openalex.org/keywords/on-the-fly","display_name":"On the fly","score":0.4119799733161926},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2651720643043518},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.10726392269134521}],"concepts":[{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.8535563349723816},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8525902628898621},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5936916470527649},{"id":"https://openalex.org/C42090638","wikidata":"https://www.wikidata.org/wiki/Q4048907","display_name":"STREAMS","level":2,"score":0.5462576150894165},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5079489350318909},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.4792230725288391},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.445297509431839},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4451156556606293},{"id":"https://openalex.org/C2781020372","wikidata":"https://www.wikidata.org/wiki/Q533093","display_name":"On the fly","level":2,"score":0.4119799733161926},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2651720643043518},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.10726392269134521},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icde.2019.00172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2019.00172","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 35th International Conference on Data Engineering (ICDE)","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":25,"referenced_works":["https://openalex.org/W1506430804","https://openalex.org/W2060170830","https://openalex.org/W2081193615","https://openalex.org/W2107418220","https://openalex.org/W2115022330","https://openalex.org/W2120031510","https://openalex.org/W2126907894","https://openalex.org/W2140431670","https://openalex.org/W2147017814","https://openalex.org/W2244405900","https://openalex.org/W2278390984","https://openalex.org/W2281363974","https://openalex.org/W2555576367","https://openalex.org/W2583214467","https://openalex.org/W2604101616","https://openalex.org/W2604248105","https://openalex.org/W2963436558","https://openalex.org/W6630411795","https://openalex.org/W6678016754","https://openalex.org/W6678929337","https://openalex.org/W6682042839","https://openalex.org/W6690737137","https://openalex.org/W6695688771","https://openalex.org/W6730356566","https://openalex.org/W6735619271"],"related_works":["https://openalex.org/W2378994405","https://openalex.org/W2385974820","https://openalex.org/W2373478030","https://openalex.org/W2378679551","https://openalex.org/W3149739944","https://openalex.org/W2392363776","https://openalex.org/W2063051341","https://openalex.org/W4293083682","https://openalex.org/W1502413331","https://openalex.org/W2061507057"],"abstract_inverted_index":{"Many":[0],"real-world":[1],"networks":[2],"such":[3,37],"as":[4,10,16,38],"Twitter":[5],"and":[6,21,27,40,55,81,101,138,145],"YouTube":[7],"are":[8,42,51],"given":[9],"fully":[11,63],"dynamic":[12,64,113],"graph":[13,65,92,114],"streams":[14],"represented":[15],"sequences":[17],"of":[18,94,111,147],"edge":[19,89],"insertions":[20],"deletions.":[22],"(e.g.,":[23],"users":[24],"can":[25],"subscribe":[26],"unsubscribe":[28],"to":[29,44,62,106,128],"channels":[30],"on":[31,119],"YouTube).":[32],"Existing":[33],"similarity":[34],"estimation":[35,71],"methods":[36,54],"MinHash":[39],"OPH":[41],"customized":[43],"static":[45],"graphs.":[46],"We":[47,134],"observe":[48],"that":[49],"they":[50],"indeed":[52],"sampling":[53,58],"exhibit":[56],"a":[57,79,108,126],"bias":[59],"when":[60],"applied":[61],"streams,":[66],"which":[67],"results":[68,141],"in":[69,90],"large":[70],"errors.":[72],"To":[73],"solve":[74],"this":[75],"challenge,":[76],"we":[77,124],"develop":[78,125],"fast":[80],"accurate":[82],"sketch":[83,110,121],"method":[84,127],"VOS.":[85],"VOS":[86],"processes":[87],"each":[88],"the":[91,112,120,139,143],"stream":[93,115],"interest":[95],"with":[96],"small":[97,103],"time":[98],"complexity":[99],"O(1)":[100],"uses":[102],"memory":[104],"space":[105],"build":[107],"compact":[109],"over":[116,132],"time.":[117,133],"Based":[118],"built":[122],"on-the-fly,":[123],"estimate":[129],"user":[130],"similarities":[131],"conduct":[135],"extensive":[136],"experiments":[137],"experimental":[140],"demonstrate":[142],"efficiency":[144],"efficacy":[146],"our":[148],"method.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}