{"id":"https://openalex.org/W4399208252","doi":"https://doi.org/10.14778/3659437.3659438","title":"FlowWalker: A Memory-Efficient and High-Performance GPU-Based Dynamic Graph Random Walk Framework","display_name":"FlowWalker: A Memory-Efficient and High-Performance GPU-Based Dynamic Graph Random Walk Framework","publication_year":2024,"publication_date":"2024-04-01","ids":{"openalex":"https://openalex.org/W4399208252","doi":"https://doi.org/10.14778/3659437.3659438"},"language":"en","primary_location":{"id":"doi:10.14778/3659437.3659438","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3659437.3659438","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/A5075646951","display_name":"Junyi Mei","orcid":"https://orcid.org/0009-0008-1956-1242"},"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":true,"raw_author_name":"Junyi Mei","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043164368","display_name":"Shixuan Sun","orcid":"https://orcid.org/0000-0003-4060-9438"},"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":"Shixuan Sun","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100323095","display_name":"Chao Li","orcid":"https://orcid.org/0000-0001-6218-4659"},"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":"Chao Li","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430968","display_name":"Cheng Xu","orcid":"https://orcid.org/0000-0001-8075-2867"},"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":"Cheng Xu","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101411581","display_name":"Cheng Chen","orcid":"https://orcid.org/0000-0003-3224-1231"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng Chen","raw_affiliation_strings":["ByteDance Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ByteDance Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100656712","display_name":"Yibo Liu","orcid":"https://orcid.org/0000-0002-7060-9482"},"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":"Yibo Liu","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100378346","display_name":"Jing Wang","orcid":"https://orcid.org/0000-0001-7260-0521"},"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":"Jing Wang","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101869458","display_name":"Cheng Zhao","orcid":"https://orcid.org/0000-0001-6127-4222"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng Zhao","raw_affiliation_strings":["ByteDance Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ByteDance Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101191654","display_name":"Xiaofeng Hou","orcid":null},"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":"Xiaofeng Hou","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100959121","display_name":"Minyi Guo","orcid":null},"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":"Minyi Guo","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039946576","display_name":"Bingsheng He","orcid":"https://orcid.org/0000-0001-8618-4581"},"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":"Bingsheng He","raw_affiliation_strings":["National University of Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113542467","display_name":"Xiaoliang Cong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoliang Cong","raw_affiliation_strings":["ByteDance Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ByteDance Inc","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":12,"corresponding_author_ids":["https://openalex.org/A5075646951"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":3.1469,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.92484873,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"17","issue":"8","first_page":"1788","last_page":"1801"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9987999796867371,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.994700014591217,"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":0.8660410642623901},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6908646821975708},{"id":"https://openalex.org/keywords/random-walk","display_name":"Random walk","score":0.6902221441268921},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5876496434211731},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5843932628631592},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5794073939323425},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5137687921524048},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4295039176940918},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14904677867889404},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08361425995826721}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8660410642623901},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6908646821975708},{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.6902221441268921},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5876496434211731},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5843932628631592},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5794073939323425},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5137687921524048},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4295039176940918},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14904677867889404},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08361425995826721},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3659437.3659438","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3659437.3659438","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"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1963965124","https://openalex.org/W1967810725","https://openalex.org/W1994727615","https://openalex.org/W2019013398","https://openalex.org/W2045555847","https://openalex.org/W2065221212","https://openalex.org/W2075010670","https://openalex.org/W2077585661","https://openalex.org/W2077943220","https://openalex.org/W2082773934","https://openalex.org/W2086105136","https://openalex.org/W2116341502","https://openalex.org/W2119885577","https://openalex.org/W2131439865","https://openalex.org/W2154851992","https://openalex.org/W2346709199","https://openalex.org/W2562125776","https://openalex.org/W2734941459","https://openalex.org/W2743104969","https://openalex.org/W2799015002","https://openalex.org/W2919633795","https://openalex.org/W2960185556","https://openalex.org/W2962756421","https://openalex.org/W2970929262","https://openalex.org/W2971142670","https://openalex.org/W2982231843","https://openalex.org/W2984834462","https://openalex.org/W3030426051","https://openalex.org/W3086238199","https://openalex.org/W3087202534","https://openalex.org/W3104097132","https://openalex.org/W3159894882","https://openalex.org/W3196877602","https://openalex.org/W3205204641","https://openalex.org/W3207627052","https://openalex.org/W4213153339","https://openalex.org/W4292691288","https://openalex.org/W4306317340","https://openalex.org/W4312829862","https://openalex.org/W4323022555","https://openalex.org/W4366197968","https://openalex.org/W4399208252"],"related_works":["https://openalex.org/W2317245370","https://openalex.org/W4249323025","https://openalex.org/W198851386","https://openalex.org/W2030310580","https://openalex.org/W947442053","https://openalex.org/W1980160788","https://openalex.org/W2148915962","https://openalex.org/W2283866686","https://openalex.org/W4287182096","https://openalex.org/W27867058"],"abstract_inverted_index":{"Dynamic":[0],"graph":[1,42,63],"random":[2,64,150,160],"walk":[3,65,151,161],"(DGRW)":[4],"emerges":[5],"as":[6,105],"a":[7,15,30,60,87,91,106,168],"practical":[8],"tool":[9],"for":[10],"capturing":[11],"structural":[12],"relations":[13],"within":[14],"graph.":[16],"Effectively":[17],"executing":[18],"DGRW":[19,50],"on":[20,126],"GPU":[21,78,116],"presents":[22],"certain":[23],"challenges.":[24],"First,":[25],"existing":[26,145],"sampling":[27,72],"methods":[28],"demand":[29],"pre-processing":[31],"buffer,":[32],"causing":[33],"substantial":[34],"space":[35,82],"complexity.":[36,83],"Moreover,":[37,84],"the":[38,77,97,121],"power-law":[39],"distribution":[40],"of":[41,100,123,170],"vertex":[43],"degrees":[44],"introduces":[45],"workload":[46],"imbalance":[47],"issues,":[48],"rendering":[49],"embarrassed":[51],"to":[52,74,95,137,165],"parallelize.":[53],"In":[54],"this":[55],"paper,":[56],"we":[57],"propose":[58],"FlowWalker,":[59],"GPU-based":[61],"dynamic":[62,92],"framework.":[66],"FlowWalker":[67,103,124,134,158],"implements":[68],"an":[69],"efficient":[70],"parallel":[71],"method":[73],"fully":[75],"exploit":[76],"parallelism":[79],"and":[80,129,140,148],"reduce":[81],"it":[85],"employs":[86],"sampler-centric":[88],"paradigm":[89],"alongside":[90],"scheduling":[93],"strategy":[94],"handle":[96],"huge":[98],"amounts":[99],"walking":[101],"queries.":[102],"stands":[104],"memory-efficient":[107],"framework":[108],"that":[109,133,157],"requires":[110],"no":[111],"auxiliary":[112],"data":[113],"structures":[114],"in":[115,167],"global":[117],"memory.":[118],"We":[119],"examine":[120],"performance":[122],"extensively":[125],"ten":[127],"datasets,":[128],"experiment":[130],"results":[131],"show":[132],"achieves":[135],"up":[136],"752.2\u00d7,":[138],"72.1\u00d7,":[139],"16.4\u00d7":[141],"speedup":[142],"compared":[143],"with":[144],"CPU,":[146],"GPU,":[147],"FPGA":[149],"frameworks,":[152],"respectively.":[153],"Case":[154],"study":[155],"shows":[156],"diminishes":[159],"time":[162],"from":[163],"35%":[164],"3%":[166],"pipeline":[169],"ByteDance":[171],"friend":[172],"recommendation":[173],"GNN":[174],"training.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}