{"id":"https://openalex.org/W2982171596","doi":"https://doi.org/10.1145/3360902","title":"Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries","display_name":"Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries","publication_year":2019,"publication_date":"2019-10-23","ids":{"openalex":"https://openalex.org/W2982171596","doi":"https://doi.org/10.1145/3360902","mag":"2982171596"},"language":"en","primary_location":{"id":"doi:10.1145/3360902","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3360902","pdf_url":null,"source":{"id":"https://openalex.org/S90119964","display_name":"ACM Transactions on Database Systems","issn_l":"0362-5915","issn":["0362-5915","1557-4644"],"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":"ACM Transactions on Database Systems","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/A5100736050","display_name":"Sibo Wang","orcid":"https://orcid.org/0000-0003-1892-6971"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sibo Wang","raw_affiliation_strings":["The Chinese University of Hong Kong, Shatin, N.T., Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Shatin, N.T., Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040420455","display_name":"Renchi Yang","orcid":"https://orcid.org/0000-0002-7284-3096"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Renchi Yang","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042205793","display_name":"Runhui Wang","orcid":"https://orcid.org/0000-0003-0823-5982"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Runhui Wang","raw_affiliation_strings":["Rutgers University, New Brunswick, NJ, United States"],"affiliations":[{"raw_affiliation_string":"Rutgers University, New Brunswick, NJ, United States","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010903591","display_name":"Xiaokui Xiao","orcid":"https://orcid.org/0000-0003-0914-4580"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xiaokui Xiao","raw_affiliation_strings":["National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074858555","display_name":"Zhewei Wei","orcid":"https://orcid.org/0000-0003-3620-5086"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhewei Wei","raw_affiliation_strings":["Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073960312","display_name":"Wenqing Lin","orcid":"https://orcid.org/0000-0003-4741-801X"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqing Lin","raw_affiliation_strings":["Tencent, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034022345","display_name":"Yin Yang","orcid":"https://orcid.org/0000-0002-0549-3882"},"institutions":[{"id":"https://openalex.org/I4210144839","display_name":"Hamad bin Khalifa University","ror":"https://ror.org/03eyq4y97","country_code":"QA","type":"education","lineage":["https://openalex.org/I4210144839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Yin Yang","raw_affiliation_strings":["Hamad Bin Khalifa University, Doha, Qatar"],"affiliations":[{"raw_affiliation_string":"Hamad Bin Khalifa University, Doha, Qatar","institution_ids":["https://openalex.org/I4210144839"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101824160","display_name":"Nan Tang","orcid":"https://orcid.org/0000-0003-2832-0295"},"institutions":[{"id":"https://openalex.org/I1301390666","display_name":"Qatar Airways (Qatar)","ror":"https://ror.org/01hx00y13","country_code":"QA","type":"company","lineage":["https://openalex.org/I1301390666"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Nan Tang","raw_affiliation_strings":["Qatar Computing Research Institute, HBKU, Doha, Qatar"],"affiliations":[{"raw_affiliation_string":"Qatar Computing Research Institute, HBKU, Doha, Qatar","institution_ids":["https://openalex.org/I1301390666"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100736050"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":2.5306,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.91893619,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"44","issue":"4","first_page":"1","last_page":"37"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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/T11106","display_name":"Data Management and Algorithms","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9961000084877014,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8653270602226257},{"id":"https://openalex.org/keywords/pagerank","display_name":"PageRank","score":0.8130016326904297},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.7106388807296753},{"id":"https://openalex.org/keywords/random-walk","display_name":"Random walk","score":0.5565786957740784},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.5335776209831238},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5098127722740173},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.4971480667591095},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.48536670207977295},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.455940842628479},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.42576029896736145},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.42418718338012695},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3688585162162781},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.2843816876411438},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10887792706489563}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8653270602226257},{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.8130016326904297},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.7106388807296753},{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.5565786957740784},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.5335776209831238},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5098127722740173},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.4971480667591095},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.48536670207977295},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.455940842628479},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.42576029896736145},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.42418718338012695},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3688585162162781},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2843816876411438},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10887792706489563},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3360902","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3360902","pdf_url":null,"source":{"id":"https://openalex.org/S90119964","display_name":"ACM Transactions on Database Systems","issn_l":"0362-5915","issn":["0362-5915","1557-4644"],"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":"ACM Transactions on Database Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W19684845","https://openalex.org/W1482680420","https://openalex.org/W1529421386","https://openalex.org/W2002240881","https://openalex.org/W2019701044","https://openalex.org/W2026939502","https://openalex.org/W2049028959","https://openalex.org/W2069153192","https://openalex.org/W2077943220","https://openalex.org/W2106891910","https://openalex.org/W2107569009","https://openalex.org/W2125493559","https://openalex.org/W2129565593","https://openalex.org/W2274137191","https://openalex.org/W2311742723","https://openalex.org/W2576295605","https://openalex.org/W2743489687","https://openalex.org/W2798750142","https://openalex.org/W2799215721","https://openalex.org/W2946877795","https://openalex.org/W3099558206","https://openalex.org/W3105303906","https://openalex.org/W4298292701"],"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/W2280422768","https://openalex.org/W2001641889","https://openalex.org/W4321488442","https://openalex.org/W1992077244"],"abstract_inverted_index":{"Given":[0],"a":[1,5,10,31,74,192,208,217,246,252,260],"graph":[2],"G":[3,59],",":[4,14],"source":[6,76],"node":[7,12],"s,":[8],"and":[9,60,82,92,112,149,184,194,203,210],"target":[11],"t":[13,22,39],"the":[15,28,45,62,67,131,231],"personalized":[16],"PageRank":[17],"(":[18,51],"PPR":[19,46,50,69,79,102,154],")":[20],"of":[21,44,135,236],"with":[23,66,71,156,223],"respect":[24,72],"to":[25,73,106,114,199],"s":[26,36,77],"is":[27,48,104,140,177],"probability":[29],"that":[30,170,230],"random":[32],"walk":[33],"starting":[34],"from":[35],"terminates":[37],"at":[38],".":[40,78],"An":[41],"important":[42,87],"variant":[43],"query":[47,256],"single-source":[49],"SSPPR":[52,83,168,255],"),":[53],"which":[54,122,139],"enumerates":[55],"all":[56],"nodes":[57,65],"in":[58,80,84,89,96],"returns":[61],"top-":[63,220],"k":[64,221],"highest":[68],"values":[70],"given":[75],"general":[81],"particular":[85],"have":[86],"applications":[88],"web":[90],"search":[91],"social":[93],"networks,":[94],"e.g.,":[95],"Twitter\u2019s":[97],"Who-To-Follow":[98],"recommendation":[99],"service.":[100],"However,":[101],"computation":[103],"known":[105],"be":[107],"expensive":[108],"on":[109,130,159,245],"large":[110],"graphs":[111],"resistant":[113],"indexing.":[115],"Consequently,":[116],"previous":[117],"solutions":[118,233],"either":[119],"use":[120],"heuristics,":[121],"do":[123],"not":[124,181],"guarantee":[125,182],"result":[126,160],"quality,":[127],"or":[128],"rely":[129],"strong":[132],"computing":[133],"power":[134],"modern":[136],"data":[137],"centers,":[138],"costly.":[141],"Motivated":[142],"by":[143],"this,":[144],"we":[145],"propose":[146],"effective":[147,211],"index-free":[148],"index-based":[150],"algorithms":[151],"for":[152,219],"approximate":[153,167,254],"processing,":[155],"rigorous":[157],"guarantees":[158],"quality.":[161],"We":[162],"first":[163],"present":[164],"FORA,":[165],"an":[166],"solution":[169],"combines":[171],"two":[172],"existing":[173],"methods\u2014Forward":[174],"Push":[175],"(which":[176],"fast":[178],"but":[179,190],"does":[180],"quality)":[183],"Monte":[185],"Carlo":[186],"Random":[187],"Walk":[188],"(accurate":[189],"slow)\u2014in":[191],"simple":[193,209],"yet":[195],"non-trivial":[196],"way,":[197],"leading":[198],"both":[200],"high":[201,224],"accuracy":[202],"efficiency.":[204],"Further,":[205],"FORA":[206,250],"includes":[207],"indexing":[212],"scheme,":[213],"as":[214,216],"well":[215],"module":[218],"selection":[222],"pruning":[225],"power.":[226],"Extensive":[227],"experiments":[228],"demonstrate":[229],"proposed":[232],"are":[234],"orders":[235],"magnitude":[237],"more":[238],"efficient":[239],"than":[240],"their":[241],"respective":[242],"competitors.":[243],"Notably,":[244],"billion-edge":[247],"Twitter":[248],"dataset,":[249],"answers":[251],"top-500":[253],"within":[257],"1s,":[258],"using":[259],"single":[261],"commodity":[262],"server.":[263]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}