{"id":"https://openalex.org/W4366492495","doi":"https://doi.org/10.14778/3583140.3583150","title":"Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank","display_name":"Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank","publication_year":2023,"publication_date":"2023-02-01","ids":{"openalex":"https://openalex.org/W4366492495","doi":"https://doi.org/10.14778/3583140.3583150"},"language":"en","primary_location":{"id":"doi:10.14778/3583140.3583150","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3583140.3583150","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"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 VLDB Endowment","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/A5100346332","display_name":"Yiming Li","orcid":"https://orcid.org/0000-0002-2258-265X"},"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":true,"raw_author_name":"Yiming Li","raw_affiliation_strings":["Department of CSE, HKUST"],"affiliations":[{"raw_affiliation_string":"Department of CSE, HKUST","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053338416","display_name":"Yanyan Shen","orcid":"https://orcid.org/0000-0001-8364-3674"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyan Shen","raw_affiliation_strings":["Department of CSE, Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Department of CSE, Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100333516","display_name":"Lei Chen","orcid":"https://orcid.org/0000-0002-8257-5806"},"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"]},{"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":false,"raw_author_name":"Lei Chen","raw_affiliation_strings":["Department of CSE, HKUST DSA Thrust, HKUST (GZ)"],"affiliations":[{"raw_affiliation_string":"Department of CSE, HKUST DSA Thrust, HKUST (GZ)","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078949174","display_name":"Mingxuan Yuan","orcid":"https://orcid.org/0000-0002-2236-8784"},"institutions":[{"id":"https://openalex.org/I4210159102","display_name":"Huawei Technologies (Sweden)","ror":"https://ror.org/0500fyd17","country_code":"SE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210159102"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Mingxuan Yuan","raw_affiliation_strings":["Huawei Noah's Ark Lab"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab","institution_ids":["https://openalex.org/I4210159102"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100346332"],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":8.407,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.98245685,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"16","issue":"6","first_page":"1332","last_page":"1345"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9995999932289124,"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":0.9995999932289124,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9941999912261963,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.777694821357727},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6962756514549255},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.586219847202301},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5482467412948608},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5389066934585571},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5308374166488647},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.48533502221107483},{"id":"https://openalex.org/keywords/pagerank","display_name":"PageRank","score":0.4812162220478058},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4737047851085663},{"id":"https://openalex.org/keywords/message-passing","display_name":"Message passing","score":0.4462689459323883},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2700123190879822},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.15137475728988647}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.777694821357727},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6962756514549255},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.586219847202301},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5482467412948608},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5389066934585571},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5308374166488647},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.48533502221107483},{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.4812162220478058},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4737047851085663},{"id":"https://openalex.org/C854659","wikidata":"https://www.wikidata.org/wiki/Q1859284","display_name":"Message passing","level":2,"score":0.4462689459323883},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2700123190879822},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.15137475728988647},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.14778/3583140.3583150","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3583140.3583150","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"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 VLDB Endowment","raw_type":"journal-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-126524","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-126524","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1996816151","https://openalex.org/W2049028959","https://openalex.org/W2051381393","https://openalex.org/W2126124689","https://openalex.org/W2164900957","https://openalex.org/W2245493112","https://openalex.org/W2311742723","https://openalex.org/W2576295605","https://openalex.org/W2789758093","https://openalex.org/W2963553269","https://openalex.org/W2965683718","https://openalex.org/W2970677957","https://openalex.org/W2981426507","https://openalex.org/W2982171596","https://openalex.org/W2990045899","https://openalex.org/W2998496395","https://openalex.org/W3030647867","https://openalex.org/W3039500550","https://openalex.org/W3101543043","https://openalex.org/W3169353485","https://openalex.org/W3190799236","https://openalex.org/W3197982863","https://openalex.org/W4221164198","https://openalex.org/W4232478844","https://openalex.org/W4298292701"],"related_works":["https://openalex.org/W2051058708","https://openalex.org/W154868527","https://openalex.org/W2106626222","https://openalex.org/W1494268238","https://openalex.org/W1983207144","https://openalex.org/W2490706771","https://openalex.org/W1976468483","https://openalex.org/W2480116122","https://openalex.org/W1516574938","https://openalex.org/W2113265763"],"abstract_inverted_index":{"Temporal":[0],"graph":[1],"neural":[2],"networks":[3],"(T-GNNs)":[4],"are":[5],"state-of-the-art":[6,184],"methods":[7],"for":[8,108],"learning":[9],"representations":[10],"over":[11],"dynamic":[12,40,67],"graphs.":[13,41,68,117],"Despite":[14],"the":[15,27,44,48,52,61,93,110,127,145,152,155,162,183],"superior":[16],"performance,":[17],"T-GNNs":[18,59,185],"still":[19],"suffer":[20],"from":[21],"high":[22],"computational":[23],"complexity":[24],"caused":[25],"by":[26,58,149,161],"tedious":[28],"recursive":[29],"temporal":[30,53,62,83,158],"message":[31,54],"passing":[32,55],"scheme,":[33],"which":[34],"hinders":[35],"their":[36],"applicability":[37],"to":[38,78,85,102,125,176],"large":[39],"To":[42],"address":[43],"problem,":[45],"we":[46,100,137],"build":[47],"theoretical":[49,70],"connection":[50],"between":[51],"scheme":[56],"adopted":[57],"and":[60],"random":[63],"walk":[64],"process":[65],"on":[66,97,115],"Our":[69],"analysis":[71],"indicates":[72],"that":[73,143,171],"it":[74],"would":[75],"be":[76,174],"possible":[77],"select":[79],"a":[80,87,105,140],"few":[81],"influential":[82],"neighbors":[84,159],"compute":[86],"target":[88],"node's":[89],"representation":[90],"without":[91],"compromising":[92],"predictive":[94],"performance.":[95,189],"Based":[96],"this":[98],"finding,":[99],"propose":[101],"utilize":[103],"T-PPR,":[104],"parameterized":[106],"metric":[107],"estimating":[109],"influence":[111],"score":[112],"of":[113,147,154,179],"nodes":[114],"evolving":[116],"We":[118],"further":[119],"develop":[120],"an":[121],"efficient":[122],"single-scan":[123],"algorithm":[124],"answer":[126],"top-":[128,163],"k":[129,164],"T-PPR":[130,165],"query":[131],"with":[132],"rigorous":[133],"approximation":[134],"guarantees.":[135],"Finally,":[136],"present":[138],"Zebra,":[139],"scalable":[141],"framework":[142],"accelerates":[144],"computation":[146],"T-GNN":[148],"directly":[150],"aggregating":[151],"features":[153],"most":[156],"prominent":[157],"returned":[160],"query.":[166],"Extensive":[167],"experiments":[168],"have":[169],"validated":[170],"Zebra":[172],"can":[173],"up":[175],"two":[177],"orders":[178],"magnitude":[180],"faster":[181],"than":[182],"while":[186],"attaining":[187],"better":[188]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-24T08:02:53.985720","created_date":"2025-10-10T00:00:00"}