{"id":"https://openalex.org/W4402043043","doi":"https://doi.org/10.14778/3681954.3681961","title":"D3-GNN: Dynamic Distributed Dataflow for Streaming Graph Neural Networks","display_name":"D3-GNN: Dynamic Distributed Dataflow for Streaming Graph Neural Networks","publication_year":2024,"publication_date":"2024-07-01","ids":{"openalex":"https://openalex.org/W4402043043","doi":"https://doi.org/10.14778/3681954.3681961"},"language":"en","primary_location":{"id":"doi:10.14778/3681954.3681961","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3681954.3681961","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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2409.09079","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059188103","display_name":"Rustam Guliyev","orcid":"https://orcid.org/0009-0008-5515-0766"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Rustam Guliyev","raw_affiliation_strings":["University of Warwick, Coventry, UK"],"affiliations":[{"raw_affiliation_string":"University of Warwick, Coventry, UK","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050065194","display_name":"Aparajita Haldar","orcid":"https://orcid.org/0000-0002-8485-0330"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Aparajita Haldar","raw_affiliation_strings":["University of Warwick, Coventry, UK"],"affiliations":[{"raw_affiliation_string":"University of Warwick, Coventry, UK","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078571347","display_name":"Hakan Ferhatosmano\u011flu","orcid":"https://orcid.org/0000-0002-5181-4712"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hakan Ferhatosmanoglu","raw_affiliation_strings":["University of Warwick, Coventry, UK"],"affiliations":[{"raw_affiliation_string":"University of Warwick, Coventry, UK","institution_ids":["https://openalex.org/I39555362"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059188103"],"corresponding_institution_ids":["https://openalex.org/I39555362"],"apc_list":null,"apc_paid":null,"fwci":0.3381,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6541036,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"17","issue":"11","first_page":"2764","last_page":"2777"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9984999895095825,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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":0.8575282096862793},{"id":"https://openalex.org/keywords/dataflow","display_name":"Dataflow","score":0.7756056785583496},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7139328122138977},{"id":"https://openalex.org/keywords/skew","display_name":"Skew","score":0.6313821077346802},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5269233584403992},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5245823264122009},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5226495265960693},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4884773790836334},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.45044082403182983},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33305057883262634},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.182271808385849},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10440021753311157}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8575282096862793},{"id":"https://openalex.org/C96324660","wikidata":"https://www.wikidata.org/wiki/Q205446","display_name":"Dataflow","level":2,"score":0.7756056785583496},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7139328122138977},{"id":"https://openalex.org/C43711488","wikidata":"https://www.wikidata.org/wiki/Q7534783","display_name":"Skew","level":2,"score":0.6313821077346802},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5269233584403992},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5245823264122009},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5226495265960693},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4884773790836334},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.45044082403182983},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33305057883262634},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.182271808385849},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10440021753311157},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.14778/3681954.3681961","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3681954.3681961","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:arXiv.org:2409.09079","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.09079","pdf_url":"https://arxiv.org/pdf/2409.09079","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"pmh:oai:wrap.warwick.ac.uk:187510","is_oa":true,"landing_page_url":"https://wrap.warwick.ac.uk/id/eprint/187510/1/WRAP-D3-GNN-dynamic-distributed-dataflow-streaming-graph-neural-networks-2024.pdf","pdf_url":"https://wrap.warwick.ac.uk/id/eprint/187510/2/p2764-guliyev.pdf","source":{"id":"https://openalex.org/S4306400665","display_name":"Warwick Research Archive Portal (University of Warwick)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39555362","host_organization_name":"University of Warwick","host_organization_lineage":["https://openalex.org/I39555362"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2409.09079","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.09079","pdf_url":"https://arxiv.org/pdf/2409.09079","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G2078283049","display_name":"DTP 2020-2021 University of Warwick","funder_award_id":"EP/T51794X/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320320279","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402043043.pdf","grobid_xml":"https://content.openalex.org/works/W4402043043.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W1971630691","https://openalex.org/W2006023152","https://openalex.org/W2016289973","https://openalex.org/W2031709923","https://openalex.org/W2067005006","https://openalex.org/W2070232376","https://openalex.org/W2082171780","https://openalex.org/W2131053137","https://openalex.org/W2160276892","https://openalex.org/W2196885578","https://openalex.org/W2429966330","https://openalex.org/W2492613899","https://openalex.org/W2562676961","https://openalex.org/W2604668004","https://openalex.org/W2783781319","https://openalex.org/W2788708648","https://openalex.org/W2798918712","https://openalex.org/W2805334792","https://openalex.org/W2889320527","https://openalex.org/W2889350994","https://openalex.org/W2945827377","https://openalex.org/W2963175158","https://openalex.org/W2970929262","https://openalex.org/W3029212721","https://openalex.org/W3029425001","https://openalex.org/W3045255111","https://openalex.org/W3086238199","https://openalex.org/W3087775916","https://openalex.org/W3098366174","https://openalex.org/W3100346973","https://openalex.org/W3101553402","https://openalex.org/W3155936517","https://openalex.org/W3157805807","https://openalex.org/W3158371160","https://openalex.org/W3159706364","https://openalex.org/W3165387466","https://openalex.org/W3177342429","https://openalex.org/W3181369126","https://openalex.org/W4206142471","https://openalex.org/W4224254405","https://openalex.org/W4255889623","https://openalex.org/W4281401915","https://openalex.org/W4283366315","https://openalex.org/W4288070868","https://openalex.org/W4290944486","https://openalex.org/W4295760561","https://openalex.org/W4306317696","https://openalex.org/W4315977496","https://openalex.org/W4317952654","https://openalex.org/W4318328279","https://openalex.org/W4320167334","https://openalex.org/W4377099260","https://openalex.org/W6848935878"],"related_works":["https://openalex.org/W2293118914","https://openalex.org/W2998381397","https://openalex.org/W4236419692","https://openalex.org/W2171015181","https://openalex.org/W3167919718","https://openalex.org/W4251718783","https://openalex.org/W4239447582","https://openalex.org/W1484403103","https://openalex.org/W2393741509","https://openalex.org/W4401278057"],"abstract_inverted_index":{"Graph":[0],"Neural":[1],"Network":[2],"(GNN)":[3],"models":[4],"on":[5,119],"streaming":[6,40,86,144],"graphs":[7],"entail":[8],"algorithmic":[9],"challenges":[10,21],"to":[11,22,44,96,132,161],"continuously":[12],"capture":[13],"its":[14],"dynamic":[15,67],"state,":[16],"as":[17,19],"well":[18],"systems":[20,60],"optimize":[23],"latency,":[24,80],"memory,":[25],"and":[26,31,59,72,78,82,89,105,112,129,156],"throughput":[27,138],"during":[28],"both":[29],"inference":[30],"training.":[32],"We":[33],"present":[34],"D3-GNN,":[35],"the":[36,66,70],"first":[37],"distributed,":[38],"hybrid-parallel,":[39],"GNN":[41,87],"system":[42,54],"designed":[43],"handle":[45,97],"real-time":[46],"graph":[47,71,94,99,121],"updates":[48],"under":[49],"online":[50],"query":[51],"setting.":[52],"Our":[53],"addresses":[55],"data":[56,103],"management,":[57],"algorithmic,":[58],"challenges,":[61],"enabling":[62],"continuous":[63],"capturing":[64],"of":[65,69,140],"state":[68],"updating":[73],"node":[74],"representations":[75],"with":[76],"fault-tolerance":[77],"optimal":[79],"load-balance,":[81],"throughput.":[83],"D3-GNN":[84,125,134],"utilizes":[85],"aggregators":[88],"an":[90],"unrolled,":[91],"distributed":[92],"computation":[93],"architecture":[95],"cascading":[98],"updates.":[100],"To":[101],"counteract":[102],"skew":[104],"neighborhood":[106],"explosion":[107],"issues,":[108],"we":[109],"introduce":[110],"inter-layer":[111],"intra-layer":[113],"windowed":[114,147],"forward":[115],"pass":[116],"solutions.":[117],"Experiments":[118],"large-scale":[120],"streams":[122],"demonstrate":[123],"that":[124],"achieves":[126,135],"high":[127],"efficiency":[128],"scalability.":[130],"Compared":[131],"DGL,":[133],"a":[136],"significant":[137],"improvement":[139],"about":[141],"76x":[142],"for":[143],"workloads.":[145],"The":[146],"enhancement":[148],"further":[149],"reduces":[150],"running":[151],"times":[152],"by":[153,159],"around":[154],"10x":[155],"message":[157],"volumes":[158],"up":[160],"15x":[162],"at":[163],"higher":[164],"parallelism.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}