{"id":"https://openalex.org/W2904719450","doi":"https://doi.org/10.1609/aaai.v33i01.33014496","title":"Distributed PageRank Computation: An Improved Theoretical Study","display_name":"Distributed PageRank Computation: An Improved Theoretical Study","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2904719450","doi":"https://doi.org/10.1609/aaai.v33i01.33014496","mag":"2904719450"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33014496","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33014496","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4363/4241","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4363/4241","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077949136","display_name":"Siqiang Luo","orcid":"https://orcid.org/0000-0001-8197-0903"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Siqiang Luo","raw_affiliation_strings":["The University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5077949136"],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":1.8661,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.88709134,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"33","issue":"01","first_page":"4496","last_page":"4503"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9878000020980835,"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":0.9878000020980835,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9728000164031982,"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/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.9692000150680542,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/pagerank","display_name":"PageRank","score":0.9578771591186523},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7588812708854675},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5891643166542053},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.532768189907074},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4460954964160919},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.43108922243118286},{"id":"https://openalex.org/keywords/clique","display_name":"Clique","score":0.4109157919883728},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3784375786781311},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.19479364156723022},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19030824303627014}],"concepts":[{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.9578771591186523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7588812708854675},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5891643166542053},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.532768189907074},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4460954964160919},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.43108922243118286},{"id":"https://openalex.org/C2777035058","wikidata":"https://www.wikidata.org/wiki/Q1662634","display_name":"Clique","level":2,"score":0.4109157919883728},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3784375786781311},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.19479364156723022},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19030824303627014},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v33i01.33014496","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33014496","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4363/4241","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33014496","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33014496","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4363/4241","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2904719450.pdf","grobid_xml":"https://content.openalex.org/works/W2904719450.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W89857650","https://openalex.org/W437979816","https://openalex.org/W1816797629","https://openalex.org/W1863846876","https://openalex.org/W1945584931","https://openalex.org/W2022994251","https://openalex.org/W2052312304","https://openalex.org/W2063832254","https://openalex.org/W2098593316","https://openalex.org/W2107805020","https://openalex.org/W2139535340","https://openalex.org/W2172002381","https://openalex.org/W2271929959","https://openalex.org/W2395738520","https://openalex.org/W2399898795","https://openalex.org/W2488670996","https://openalex.org/W2604853468","https://openalex.org/W2612259229","https://openalex.org/W2952677376","https://openalex.org/W4206219939","https://openalex.org/W4301045063","https://openalex.org/W6603592053","https://openalex.org/W6615316681","https://openalex.org/W6639064780","https://openalex.org/W6641748407","https://openalex.org/W6651264397","https://openalex.org/W6675816564","https://openalex.org/W6722832059","https://openalex.org/W6764872402","https://openalex.org/W7056139861"],"related_works":["https://openalex.org/W2106626222","https://openalex.org/W2980866815","https://openalex.org/W1562405179","https://openalex.org/W2125493559","https://openalex.org/W1544909909","https://openalex.org/W2002053721","https://openalex.org/W2001641889","https://openalex.org/W2310552679","https://openalex.org/W4300432844","https://openalex.org/W4226060976"],"abstract_inverted_index":{"PageRank":[0,37,64,102,143],"is":[1,41],"a":[2,73,110,146,153,177,181],"classic":[3],"measure":[4],"that":[5,169,192],"effectively":[6],"evaluates":[7],"the":[8,47,62,82,87,92,101,142,160,164,186,206],"node":[9,106],"importance":[10],"in":[11,18,107,211],"large":[12,39],"graphs,":[13],"and":[14,32,43,70,78],"has":[15,45],"been":[16,59],"applied":[17],"numerous":[19],"applications":[20],"ranging":[21],"from":[22],"data":[23],"mining,":[24],"Web":[25],"algorithms,":[26],"recommendation":[27],"systems,":[28],"load":[29],"balancing,":[30],"search,":[31],"identifying":[33],"connectivity":[34],"structures.":[35],"Computing":[36],"for":[38,123],"graphs":[40],"challenging":[42],"this":[44,116],"motivated":[46],"studies":[48],"of":[49,104,203],"distributed":[50,63,83,121],"algorithms":[51,65,122],"to":[52,99,140,198],"compute":[53,200],"PageRank.":[54,125],"Previously,":[55],"little":[56],"works":[57],"have":[58],"spent":[60],"on":[61],"with":[66,75,109,137,145,185],"provably":[67],"desired":[68],"complexity":[69],"accuracy.":[71],"Given":[72],"graph":[74],"n":[76],"nodes":[77],"if":[79],"we":[80,118,190],"model":[81,85],"computation":[84],"as":[86],"well-known":[88],"congested":[89],"clique":[90],"model,":[91],"state-of-the-art":[93,187],"algorithm":[94,128,157,194],"takes":[95],"O(\u221alogn)":[96,138],"communication":[97,166,178,214],"rounds":[98,132],"approximate":[100,141],"value":[103],"each":[105],"G,":[108],"probability":[111,147],"at":[112,148],"least":[113,149],"1\u22121/n.":[114,150],"In":[115],"paper,":[117],"present":[119],"improved":[120],"computing":[124],"Particularly,":[126],"our":[127,156,193],"performs":[129],"O(log":[130,212],"log\u221an)":[131],"(a":[133],"significant":[134],"improvement":[135],"compared":[136,184],"rounds)":[139],"values":[144],"Moreover,":[151],"under":[152],"reasonable":[154],"assumption,":[155],"also":[158],"reduces":[159],"edge":[161,175],"bandwidth":[162],"(i.e.,":[163],"maximum":[165],"message":[167],"size":[168],"can":[170,195],"be":[171,196],"exchanged":[172],"through":[173],"an":[174],"during":[176],"round)":[179],"by":[180],"O(logn)":[182],"factor":[183],"algorithm.":[188],"Finally,":[189],"show":[191],"adapted":[197],"efficiently":[199],"another":[201],"variant":[202],"PageRank,":[204],"i.e.,":[205],"batch":[207],"one-hop":[208],"Personalized":[209],"PageRanks,":[210],"logn)":[213],"rounds.":[215]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}