{"id":"https://openalex.org/W4285127741","doi":"https://doi.org/10.1109/tkde.2022.3175814","title":"Single-Source Personalized PageRanks with Workload Robustness","display_name":"Single-Source Personalized PageRanks with Workload Robustness","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285127741","doi":"https://doi.org/10.1109/tkde.2022.3175814"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2022.3175814","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3175814","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/A5070791040","display_name":"Dingheng Mo","orcid":"https://orcid.org/0000-0002-9588-1036"},"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":true,"raw_author_name":"Dingheng Mo","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077949136","display_name":"Siqiang Luo","orcid":"https://orcid.org/0000-0001-8197-0903"},"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":"Siqiang Luo","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070791040"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.9664,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.7605514,"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":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9997000098228455,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9975000023841858,"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":0.996399998664856,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8376500606536865},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7041386365890503},{"id":"https://openalex.org/keywords/pagerank","display_name":"PageRank","score":0.6151205897331238},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.6029577851295471},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4819309711456299},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4613800644874573},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3551499843597412}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8376500606536865},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7041386365890503},{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.6151205897331238},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.6029577851295471},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4819309711456299},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4613800644874573},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3551499843597412},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2022.3175814","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3175814","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":[],"awards":[{"id":"https://openalex.org/G2960799326","display_name":null,"funder_award_id":"MOE Tier-1 grant RG18/21","funder_id":"https://openalex.org/F4320320766","funder_display_name":"Nanyang Technological University"},{"id":"https://openalex.org/G3517369746","display_name":null,"funder_award_id":"NTU SUG 020948-00001","funder_id":"https://openalex.org/F4320320766","funder_display_name":"Nanyang Technological University"}],"funders":[{"id":"https://openalex.org/F4320320766","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W19684845","https://openalex.org/W193741420","https://openalex.org/W1854214752","https://openalex.org/W1977749252","https://openalex.org/W1985554184","https://openalex.org/W1990280147","https://openalex.org/W1997922049","https://openalex.org/W2002770250","https://openalex.org/W2019701044","https://openalex.org/W2026939502","https://openalex.org/W2051381393","https://openalex.org/W2057958327","https://openalex.org/W2077943220","https://openalex.org/W2081863845","https://openalex.org/W2086254934","https://openalex.org/W2106891910","https://openalex.org/W2107884625","https://openalex.org/W2112513979","https://openalex.org/W2128119682","https://openalex.org/W2129565593","https://openalex.org/W2171774716","https://openalex.org/W2274137191","https://openalex.org/W2311742723","https://openalex.org/W2547646153","https://openalex.org/W2576295605","https://openalex.org/W2583482010","https://openalex.org/W2593507512","https://openalex.org/W2743489687","https://openalex.org/W2766871436","https://openalex.org/W2776174348","https://openalex.org/W2798750142","https://openalex.org/W2904719450","https://openalex.org/W2940470182","https://openalex.org/W2942483180","https://openalex.org/W2950687672","https://openalex.org/W2952677376","https://openalex.org/W2963553269","https://openalex.org/W2982171596","https://openalex.org/W3032600190","https://openalex.org/W3166042273","https://openalex.org/W3209433718","https://openalex.org/W4235851065","https://openalex.org/W4298292701","https://openalex.org/W6607769489","https://openalex.org/W6639055396","https://openalex.org/W6779624942"],"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/W2000785801","https://openalex.org/W986318368","https://openalex.org/W2002053721","https://openalex.org/W2953330010","https://openalex.org/W3082083992"],"abstract_inverted_index":{"Given":[0],"a":[1,6,11,26,37,47,83,95],"source":[2],"node":[3,8],"s":[4,19,31],"and":[5,49,148],"target":[7],"t":[9,21],"in":[10,46,53],"graph":[12,85],"G,":[13],"the":[14,23,41,100,113,138],"Personalized":[15],"PageRank":[16],"(PPR)":[17],"from":[18,30],"to":[20,66,106,154],"is":[22,36,78],"probability":[24],"of":[25,40],"random":[27],"walk":[28],"starting":[29],"terminates":[32],"at":[33,82],"t.":[34],"PPR":[35,61,115],"classic":[38],"measure":[39],"relevance":[42],"among":[43],"different":[44,73],"nodes":[45],"graph,":[48],"has":[50,131,144],"been":[51],"applied":[52],"numerous":[54],"real-world":[55,68],"systems.":[56],"However,":[57],"existing":[58],"techniques":[59],"for":[60,165],"queries":[62,91,117],"are":[63],"not":[64],"robust":[65],"dynamic":[67],"graphs,":[69],"which":[70],"typically":[71],"have":[72],"evolving":[74,86,120,124],"speeds.":[75,125],"Their":[76],"performance":[77],"significantly":[79,132,161],"degraded":[80],"either":[81],"lower":[84],"rate":[87],"(e.g.,":[88],"much":[89],"more":[90],"than":[92],"updates)":[93],"or":[94,172],"higher":[96],"rate.":[97],"To":[98],"address":[99],"above":[101],"deficiencies,":[102],"we":[103],"propose":[104],"Agenda":[105,130,142,160],"efficiently":[107],"process,":[108],"with":[109,122,127],"strong":[110],"approximation":[111,174],"guarantees,":[112],"single-source":[114],"(SSPPR)":[116],"on":[118,152],"dynamically":[119],"graphs":[121,157],"various":[123,166],"Compared":[126],"previous":[128],"methods,":[129],"better":[133,171],"workload":[134],"robustness,":[135],"while":[136,169],"ensuring":[137],"same":[139],"result":[140],"accuracy.":[141],"also":[143],"theoretically-guaranteed":[145],"small":[146],"query":[147],"update":[149],"costs.":[150],"Experiments":[151],"up":[153],"billion-edge":[155],"scale":[156],"show":[158],"that":[159],"outperforms":[162],"state-of-the-art":[163],"methods":[164],"query/update":[167],"workloads,":[168],"maintaining":[170],"comparable":[173],"accuracies.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}