{"id":"https://openalex.org/W4411797188","doi":"https://doi.org/10.1145/3735546.3735856","title":"Bridging GNN Inference and Dataflow Stream Processing: Challenges and Opportunities","display_name":"Bridging GNN Inference and Dataflow Stream Processing: Challenges and Opportunities","publication_year":2025,"publication_date":"2025-06-22","ids":{"openalex":"https://openalex.org/W4411797188","doi":"https://doi.org/10.1145/3735546.3735856"},"language":"en","primary_location":{"id":"doi:10.1145/3735546.3735856","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3735546.3735856","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3735546.3735856","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3735546.3735856","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5118706450","display_name":"Naima Abrar Shami","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Naima Abrar Shami","raw_affiliation_strings":["Boston University"],"raw_orcid":"https://orcid.org/0009-0000-3591-2120","affiliations":[{"raw_affiliation_string":"Boston University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068567119","display_name":"Vasiliki Kalavri","orcid":"https://orcid.org/0000-0001-8219-4862"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vasiliki Kalavri","raw_affiliation_strings":["Boston University"],"raw_orcid":"https://orcid.org/0000-0001-8219-4862","affiliations":[{"raw_affiliation_string":"Boston University","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5118706450"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15611873,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9951000213623047,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9944999814033508,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dataflow","display_name":"Dataflow","score":0.8719195127487183},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.8396106958389282},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7698712348937988},{"id":"https://openalex.org/keywords/stream-processing","display_name":"Stream processing","score":0.6949024796485901},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6748670935630798},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3635149300098419},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3446221947669983},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2996440827846527},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.20230141282081604},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.0653272271156311}],"concepts":[{"id":"https://openalex.org/C96324660","wikidata":"https://www.wikidata.org/wiki/Q205446","display_name":"Dataflow","level":2,"score":0.8719195127487183},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.8396106958389282},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7698712348937988},{"id":"https://openalex.org/C107027933","wikidata":"https://www.wikidata.org/wiki/Q2006448","display_name":"Stream processing","level":2,"score":0.6949024796485901},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6748670935630798},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3635149300098419},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3446221947669983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2996440827846527},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.20230141282081604},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0653272271156311}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3735546.3735856","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3735546.3735856","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3735546.3735856","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3735546.3735856","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3735546.3735856","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3735546.3735856","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G267277385","display_name":"CAREER: Adaptive resource management and reconfiguration mechanisms for streaming dataflow systems","funder_award_id":"2440334","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3982727681","display_name":null,"funder_award_id":"2237193, 2440334","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G5959566459","display_name":"CNS: CORE: Small: Scaling Graph Machine Learning Workloads on Modern Storage","funder_award_id":"2237193","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411797188.pdf","grobid_xml":"https://content.openalex.org/works/W4411797188.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1932742904","https://openalex.org/W1971630691","https://openalex.org/W2752238980","https://openalex.org/W2801991413","https://openalex.org/W2807021761","https://openalex.org/W2889350994","https://openalex.org/W2907492528","https://openalex.org/W2950369002","https://openalex.org/W3048826825","https://openalex.org/W3097300053","https://openalex.org/W3100848837","https://openalex.org/W3152893301","https://openalex.org/W3153858161","https://openalex.org/W3159953606","https://openalex.org/W3165484655","https://openalex.org/W3197174867","https://openalex.org/W4285607765","https://openalex.org/W4367147730","https://openalex.org/W4385567855","https://openalex.org/W4388233567","https://openalex.org/W4396758741","https://openalex.org/W4399164756","https://openalex.org/W4408029667","https://openalex.org/W4408888813","https://openalex.org/W6948400484"],"related_works":["https://openalex.org/W2293118914","https://openalex.org/W2998381397","https://openalex.org/W4236419692","https://openalex.org/W1989140795","https://openalex.org/W1981433684","https://openalex.org/W2113327063","https://openalex.org/W2077180914","https://openalex.org/W2175563412","https://openalex.org/W2403307847","https://openalex.org/W2521218765"],"abstract_inverted_index":{"Graph":[0],"Neural":[1],"Networks":[2],"(GNNs)":[3],"have":[4],"the":[5,28,37,56],"potential":[6],"to":[7,83,140],"address":[8],"real-world":[9],"problems":[10],"involving":[11],"continuously":[12],"evolving,":[13],"graph-structured":[14],"data,":[15,35],"such":[16],"as":[17],"fraud":[18],"detection,":[19],"real-time":[20],"recommendations,":[21],"and":[22,72,89,101,119,131],"traffic":[23],"monitoring.":[24],"These":[25],"applications":[26],"require":[27],"timely":[29],"processing":[30,46,91],"of":[31,39,59,116],"streaming":[32,66,141],"(possibly":[33],"unbounded)":[34],"highlighting":[36],"need":[38],"integrating":[40],"GNN":[41,67,142],"inference":[42,99],"with":[43,70],"dataflow":[44,77,137],"stream":[45],"systems,":[47],"like":[48],"Apache":[49],"Flink.":[50],"In":[51],"this":[52,61],"paper,":[53],"we":[54,105],"present":[55],"first":[57],"exploration":[58],"bridging":[60],"gap,":[62],"by":[63],"designing":[64],"a":[65,76],"serving":[68],"pipeline":[69],"Flink":[71,130],"PyTorch.":[73],"We":[74,122],"propose":[75,123],"architecture":[78],"that":[79,125],"offloads":[80],"subgraph":[81],"construction":[82],"Flink,":[84],"leveraging":[85],"its":[86],"state":[87,113],"management":[88],"distributed":[90],"capabilities.":[92],"Despite":[93],"achieving":[94],"viable":[95],"performance":[96],"through":[97],"asynchronous":[98],"requests":[100],"careful":[102],"parallelism":[103],"tuning,":[104],"also":[106],"identify":[107],"significant":[108],"limitations":[109],"stemming":[110],"from":[111],"Flink's":[112],"scoping,":[114],"lack":[115],"iterative":[117],"processing,":[118],"computation":[120],"pipelining.":[121],"solutions":[124],"mitigate":[126],"these":[127],"issues":[128],"within":[129],"discuss":[132],"open":[133],"challenges":[134],"towards":[135],"developing":[136],"systems":[138],"tailored":[139],"inference.":[143]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}