{"id":"https://openalex.org/W4386942827","doi":"https://doi.org/10.48550/arxiv.2309.11071","title":"InkStream: Real-time GNN Inference on Streaming Graphs via Incremental Update","display_name":"InkStream: Real-time GNN Inference on Streaming Graphs via Incremental Update","publication_year":2023,"publication_date":"2023-09-20","ids":{"openalex":"https://openalex.org/W4386942827","doi":"https://doi.org/10.48550/arxiv.2309.11071"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2309.11071","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2309.11071","pdf_url":"https://arxiv.org/pdf/2309.11071","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2309.11071","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101472722","display_name":"Dan Wu","orcid":"https://orcid.org/0009-0003-5260-0980","observed_orcids":["https://orcid.org/0009-0003-5260-0980"]},"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":"Wu, Dan","raw_affiliation_strings":["National University of Singapore Singapore , Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore Singapore , Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046379562","display_name":"Zhaoying Li","orcid":"https://orcid.org/0000-0001-7513-9494","observed_orcids":["https://orcid.org/0000-0001-7513-9494"]},"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":"Li, Zhaoying","raw_affiliation_strings":["National University of Singapore Singapore , Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore Singapore , Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049237676","display_name":"Tulika Mitra","orcid":"https://orcid.org/0000-0003-4136-4188","observed_orcids":["https://orcid.org/0000-0003-4136-4188"]},"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":"Mitra, Tulika","raw_affiliation_strings":["National University of Singapore Singapore , Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore Singapore , Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.7401999831199646,"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":0.7401999831199646,"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":0.25099998712539673,"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":0.0017999999690800905,"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/graph-streams","display_name":"graph streams","score":0.968999981880188},{"id":"https://openalex.org/keywords/incremental-updates","display_name":"incremental updates","score":0.6669999957084656},{"id":"https://openalex.org/keywords/real-time-inference","display_name":"real-time inference","score":0.925000011920929},{"id":"https://openalex.org/keywords/gpu-acceleration","display_name":"GPU acceleration","score":0.906000018119812},{"id":"https://openalex.org/keywords/node-embeddings","display_name":"node embeddings","score":0.41100001335144043},{"id":"https://openalex.org/keywords/aggregation-operators","display_name":"aggregation operators","score":0.5669999718666077},{"id":"https://openalex.org/keywords/dynamic-graph-processing","display_name":"dynamic graph processing","score":0.5360000133514404},{"id":"https://openalex.org/keywords/gcn","display_name":"GCN","score":0.7630000114440918},{"id":"https://openalex.org/keywords/graphsage","display_name":"GraphSAGE","score":0.9929999709129333},{"id":"https://openalex.org/keywords/gin","display_name":"gin","score":0.9940000176429749}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8216479420661926},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6420950293540955},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5419910550117493},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5078619122505188},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.46131062507629395},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45928502082824707},{"id":"https://openalex.org/C187166803","wikidata":"https://www.wikidata.org/wiki/Q2835831","display_name":"Streaming algorithm","level":3,"score":0.4272553026676178},{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.4212697744369507},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35342907905578613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16085705161094666},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.10648617148399353},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10621115565299988},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2309.11071","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2309.11071","pdf_url":"https://arxiv.org/pdf/2309.11071","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"doi:10.48550/arxiv.2309.11071","doi":"https://doi.org/10.48550/arxiv.2309.11071","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2309.11071","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2309.11071","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2309.11071","pdf_url":"https://arxiv.org/pdf/2309.11071","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386942827.pdf","grobid_xml":"https://content.openalex.org/works/W4386942827.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2542847180","https://openalex.org/W3034994054","https://openalex.org/W2805712290","https://openalex.org/W2155226960","https://openalex.org/W2909129499","https://openalex.org/W2392087771","https://openalex.org/W2761598930","https://openalex.org/W2081900870","https://openalex.org/W2553994394","https://openalex.org/W2356600124"],"abstract_inverted_index":{"Classic":[0],"Graph":[1],"Neural":[2],"Network":[3],"(GNN)":[4],"inference":[5,113,232],"approaches,":[6],"designed":[7,110],"for":[8,13,111],"static":[9,79],"graphs,":[10],"are":[11,185],"ill-suited":[12],"streaming":[14,24],"graphs":[15,25,207],"that":[16,176,209],"evolve":[17,89],"with":[18,114,200],"time.":[19],"The":[20],"dynamism":[21],"intrinsic":[22],"to":[23,32,125,146,168,187],"necessitates":[26],"constant":[27],"updates,":[28],"posing":[29],"unique":[30],"challenges":[31,39],"acceleration":[33],"on":[34,41,130,204,214,220,233],"GPU.":[35],"We":[36,174],"address":[37],"these":[38,102],"based":[40],"two":[42,221],"key":[43],"insights:":[44],"(1)":[45],"Inside":[46],"the":[47,54,60,64,75,81,95,99,131,234],"$k$-hop":[48],"neighborhood,":[49],"a":[50,106,215],"significant":[51],"fraction":[52],"of":[53,98,133,155,181],"nodes":[55],"is":[56,159],"not":[57],"impacted":[58,96],"by":[59,92,165,212],"modified":[61],"edges":[62],"when":[63,139],"model":[65,76,231],"uses":[66,142],"min":[67],"or":[68],"max":[69],"as":[70,193,229],"aggregation":[71],"function;":[72],"(2)":[73],"When":[74],"weights":[77],"remain":[78],"while":[80,120,225],"graph":[82,236],"structure":[83],"changes,":[84],"node":[85,156],"embeddings":[86],"can":[87],"incrementally":[88],"over":[90],"time":[91],"computing":[93],"only":[94,138],"part":[97],"neighborhood.":[100],"With":[101],"insights,":[103],"we":[104],"propose":[105],"novel":[107],"method,":[108],"InkStream,":[109],"real-time":[112],"minimal":[115],"memory":[116],"access":[117],"and":[118,135,151,162,170,196,218],"computation,":[119],"ensuring":[121],"an":[122,143],"identical":[123,227],"output":[124],"conventional":[126],"methods.":[127],"InkStream":[128,158,210],"operates":[129],"principle":[132],"propagating":[134],"fetching":[136],"data":[137],"necessary.":[140],"It":[141],"event-based":[144],"system":[145],"control":[147],"inter-layer":[148],"effect":[149],"propagation":[150],"intra-layer":[152],"incremental":[153],"updates":[154],"embedding.":[157],"highly":[160],"extensible":[161],"easily":[163],"configurable":[164],"allowing":[166],"users":[167],"create":[169],"process":[171],"customized":[172],"events.":[173],"showcase":[175],"less":[177],"than":[178],"10":[179],"lines":[180],"additional":[182],"user":[183],"code":[184],"needed":[186],"support":[188],"popular":[189],"GNN":[190,202,230],"models":[191,203],"such":[192],"GCN,":[194],"GraphSAGE,":[195],"GIN.":[197],"Our":[198],"experiments":[199],"three":[201],"four":[205],"large":[206],"demonstrate":[208],"accelerates":[211],"2.5-427$\\times$":[213],"CPU":[216],"cluster":[217],"2.4-343$\\times$":[219],"different":[222],"GPU":[223],"clusters":[224],"producing":[226],"outputs":[228],"latest":[235],"snapshot.":[237]},"counts_by_year":[],"updated_date":"2026-10-01T08:54:57.152042","created_date":"2025-10-10T00:00:00"}