{"id":"https://openalex.org/W4380433108","doi":"https://doi.org/10.1145/3588707","title":"ClipSim: A GPU-friendly Parallel Framework for Single-Source SimRank with Accuracy Guarantee","display_name":"ClipSim: A GPU-friendly Parallel Framework for Single-Source SimRank with Accuracy Guarantee","publication_year":2023,"publication_date":"2023-05-26","ids":{"openalex":"https://openalex.org/W4380433108","doi":"https://doi.org/10.1145/3588707"},"language":"en","primary_location":{"id":"doi:10.1145/3588707","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3588707","pdf_url":null,"source":{"id":"https://openalex.org/S4387289859","display_name":"Proceedings of the ACM on Management of Data","issn_l":"2836-6573","issn":["2836-6573"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Management of Data","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/A5100678109","display_name":"Tianhao Wu","orcid":"https://orcid.org/0000-0002-6141-5512"},"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":true,"raw_author_name":"Tianhao Wu","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6141-5512","affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103247963","display_name":"Ji Cheng","orcid":"https://orcid.org/0000-0003-3120-8966"},"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":"Ji Cheng","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0003-3120-8966","affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007808758","display_name":"Chaorui Zhang","orcid":"https://orcid.org/0000-0002-1530-2584"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaorui Zhang","raw_affiliation_strings":["Theory Lab, 2012 Labs & Huawei Technologies, Co. Ltd, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-1530-2584","affiliations":[{"raw_affiliation_string":"Theory Lab, 2012 Labs & Huawei Technologies, Co. Ltd, Hong Kong, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101971243","display_name":"Jianfeng Hou","orcid":"https://orcid.org/0000-0002-5221-003X"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Hou","raw_affiliation_strings":["Theory Lab, 2012 Labs & Huawei Technologies, Co. Ltd, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-5221-003X","affiliations":[{"raw_affiliation_string":"Theory Lab, 2012 Labs & Huawei Technologies, Co. Ltd, Hong Kong, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058297752","display_name":"Gengjian Chen","orcid":"https://orcid.org/0009-0005-3264-0461"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gengjian Chen","raw_affiliation_strings":["Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0005-3264-0461","affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065270536","display_name":"Zhongyi Huang","orcid":"https://orcid.org/0000-0002-5623-4864"},"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":"Zhongyi Huang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5623-4864","affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101915841","display_name":"Weixi Zhang","orcid":"https://orcid.org/0009-0007-4769-2779"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weixi Zhang","raw_affiliation_strings":["Theory Lab, 2012 Labs & Huawei Technologies, Co. Ltd, Hong Kong, China"],"raw_orcid":"https://orcid.org/0009-0007-4769-2779","affiliations":[{"raw_affiliation_string":"Theory Lab, 2012 Labs & Huawei Technologies, Co. Ltd, Hong Kong, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052469808","display_name":"Wei Han","orcid":"https://orcid.org/0000-0002-0920-1357"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Han","raw_affiliation_strings":["Theory Lab, 2012 Labs & Huawei Technologies, Co. Ltd, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-0920-1357","affiliations":[{"raw_affiliation_string":"Theory Lab, 2012 Labs & Huawei Technologies, Co. Ltd, Hong Kong, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001405009","display_name":"Bo Bai","orcid":"https://orcid.org/0000-0003-4796-8249"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Bai","raw_affiliation_strings":["Theory Lab, 2012 Labs & Huawei Technologies, Co. Ltd, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0003-4796-8249","affiliations":[{"raw_affiliation_string":"Theory Lab, 2012 Labs & Huawei Technologies, Co. Ltd, Hong Kong, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5100678109"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05238939,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":"1","first_page":"1","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9991000294685364,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9973999857902527,"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/computer-science","display_name":"Computer science","score":0.8579632639884949},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.7500045299530029},{"id":"https://openalex.org/keywords/matrix-multiplication","display_name":"Matrix multiplication","score":0.5489398837089539},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5005588531494141},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4905351996421814},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4465809762477875},{"id":"https://openalex.org/keywords/supercomputer","display_name":"Supercomputer","score":0.4305497109889984},{"id":"https://openalex.org/keywords/distance-matrix","display_name":"Distance matrix","score":0.4125615954399109},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39952701330184937},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.36238616704940796},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35693028569221497}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8579632639884949},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7500045299530029},{"id":"https://openalex.org/C17349429","wikidata":"https://www.wikidata.org/wiki/Q1049914","display_name":"Matrix multiplication","level":3,"score":0.5489398837089539},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5005588531494141},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4905351996421814},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4465809762477875},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.4305497109889984},{"id":"https://openalex.org/C111208986","wikidata":"https://www.wikidata.org/wiki/Q901698","display_name":"Distance matrix","level":2,"score":0.4125615954399109},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39952701330184937},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.36238616704940796},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35693028569221497},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3588707","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3588707","pdf_url":null,"source":{"id":"https://openalex.org/S4387289859","display_name":"Proceedings of the ACM on Management of Data","issn_l":"2836-6573","issn":["2836-6573"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Management of Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G257870621","display_name":null,"funder_award_id":"81930119","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6144354176","display_name":null,"funder_award_id":"12025104","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":34,"referenced_works":["https://openalex.org/W1007208754","https://openalex.org/W1995973731","https://openalex.org/W2000041758","https://openalex.org/W2021758280","https://openalex.org/W2021948263","https://openalex.org/W2058355002","https://openalex.org/W2069858642","https://openalex.org/W2088866486","https://openalex.org/W2101196063","https://openalex.org/W2117831564","https://openalex.org/W2124168655","https://openalex.org/W2134237243","https://openalex.org/W2140445565","https://openalex.org/W2160680261","https://openalex.org/W2341808083","https://openalex.org/W2626696598","https://openalex.org/W2759667019","https://openalex.org/W2911030582","https://openalex.org/W2946877795","https://openalex.org/W2951135776","https://openalex.org/W2981426507","https://openalex.org/W2981454525","https://openalex.org/W3009008719","https://openalex.org/W3013763460","https://openalex.org/W3015563470","https://openalex.org/W3040859699","https://openalex.org/W3087202534","https://openalex.org/W3091983754","https://openalex.org/W3102232269","https://openalex.org/W3105426077","https://openalex.org/W3131049055","https://openalex.org/W3169873936","https://openalex.org/W4205268971","https://openalex.org/W4233413206"],"related_works":["https://openalex.org/W2384867379","https://openalex.org/W4400094300","https://openalex.org/W2329539859","https://openalex.org/W2227905990","https://openalex.org/W1582436825","https://openalex.org/W1996803181","https://openalex.org/W2979588510","https://openalex.org/W3152399948","https://openalex.org/W2156718603","https://openalex.org/W2151152091"],"abstract_inverted_index":{"SimRank":[0,21,44,89,111,131,155,214],"is":[1,52,97],"an":[2],"important":[3],"metric":[4],"to":[5,55,65,164,196,222],"measure":[6],"the":[7,38,99,107,122,129,152,167,178,183,198,217],"topological":[8],"similarity":[9],"between":[10],"two":[11,66],"nodes":[12],"in":[13,25,47],"a":[14,36,69,139],"graph.":[15],"In":[16,93],"particular,":[17],"single-source":[18,43,130,213],"and":[19,30,42,74,77,102,143,193,200,220],"top-k":[20],"has":[22],"numerous":[23],"applications":[24],"recommendation":[26],"systems,":[27],"network":[28],"analysis,":[29],"web":[31],"mining,":[32],"etc.":[33],"Mathematically,":[34],"given":[35],"vertex,":[37],"computation":[39,86,108,149,225],"of":[40,71,109,150,154,169,202],"single-machine":[41],"mainly":[45],"lies":[46],"matrix-matrix":[48],"operations.":[49,81],"However,":[50],"it":[51],"almost":[53],"impossible":[54],"directly":[56],"compute":[57],"on":[58,90,112,132,156,191],"large":[59,91],"graphs.":[60,92,114],"Thus,":[61],"existing":[62],"works":[63],"yield":[64],"main":[67],"operations:":[68],"series":[70],"random":[72,170],"walks,":[73],"sparse":[75],"matrix":[76],"dense":[78],"vector":[79],"multiplication":[80],"This":[82],"brings":[83],"about":[84],"high":[85],"cost":[87],"for":[88,147,173],"real-world":[94,192],"applications,":[95],"there":[96],"always":[98],"query":[100],"time":[101],"accuracy":[103,135,181,199,219],"trade-off,":[104],"which":[105],"hinders":[106],"high-precision":[110],"large-scale":[113],"To":[115],"handle":[116],"this":[117,119],"problem,":[118],"paper":[120],"proposesClipSim,":[121],"first":[123],"GPU-friendly":[124,144],"parallel":[125,145],"framework":[126],"that":[127,207],"accelerates":[128],"GPU":[133],"with":[134,209,216],"guarantee.":[136],"We":[137,187],"design":[138],"novel":[140],"data":[141],"structure":[142],"algorithms":[146],"efficient":[148],"all":[151],"operations":[153],"GPU.":[157],"Moreover,":[158],"our":[159],"theoretical":[160,180],"derivation":[161],"enables":[162],"ClipSim":[163,211],"largely":[165],"reduce":[166],"number":[168],"walks":[171],"required":[172],"each":[174],"node,":[175],"while":[176],"maintaining":[177],"same":[179,218],"as":[182],"state-of-the-art":[184],"algorithm,":[185],"ExactSim.":[186],"conduct":[188],"extensive":[189],"experiments":[190],"synthetic":[194],"datasets":[195],"demonstrate":[197],"efficiency":[201],"ClipSim.":[203],"The":[204],"results":[205],"show":[206],"compared":[208],"ExactSim,":[210],"obtains":[212],"vectors":[215],"up":[221],"160\u00d7":[223],"faster":[224],"time.":[226]},"counts_by_year":[],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}