{"id":"https://openalex.org/W7138998717","doi":"https://doi.org/10.1145/3774904.3792385","title":"FS_GPlib: Breaking the Web-Scale Barrier \u2014 A Unified Acceleration Framework for Graph Propagation Models","display_name":"FS_GPlib: Breaking the Web-Scale Barrier \u2014 A Unified Acceleration Framework for Graph Propagation Models","publication_year":2026,"publication_date":"2026-04-12","ids":{"openalex":"https://openalex.org/W7138998717","doi":"https://doi.org/10.1145/3774904.3792385"},"language":null,"primary_location":{"id":"doi:10.1145/3774904.3792385","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792385","pdf_url":null,"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 ACM Web Conference 2026","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3774904.3792385","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129848787","display_name":"Chang Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Guo","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0009-0001-5525-0790","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129901905","display_name":"Juyuan Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juyuan Zhang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0009-0008-4910-9759","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129968654","display_name":"Chang Su","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Su","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0009-0006-1895-9000","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129820523","display_name":"Tianlong Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianlong Fan","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0002-9456-6819","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129763737","display_name":"Linyuan L\u00fc","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linyuan L\u00fc","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0002-2156-0432","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28922872,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4623","last_page":"4634"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.3831000030040741,"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"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.3831000030040741,"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"}},{"id":"https://openalex.org/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.11159999668598175,"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/T12303","display_name":"Tensor decomposition and applications","score":0.07970000058412552,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.6281999945640564},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.4830000102519989},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.46950000524520874},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.39809998869895935},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.37470000982284546},{"id":"https://openalex.org/keywords/message-passing","display_name":"Message passing","score":0.3720000088214874},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.3476000130176544},{"id":"https://openalex.org/keywords/belief-propagation","display_name":"Belief propagation","score":0.31940001249313354}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7782999873161316},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.6281999945640564},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5267999768257141},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.4830000102519989},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.46950000524520874},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4440999925136566},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.39809998869895935},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.37470000982284546},{"id":"https://openalex.org/C854659","wikidata":"https://www.wikidata.org/wiki/Q1859284","display_name":"Message passing","level":2,"score":0.3720000088214874},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.3476000130176544},{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.31940001249313354},{"id":"https://openalex.org/C102379954","wikidata":"https://www.wikidata.org/wiki/Q2589940","display_name":"Call graph","level":2,"score":0.3059000074863434},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.3050999939441681},{"id":"https://openalex.org/C192126672","wikidata":"https://www.wikidata.org/wiki/Q1068715","display_name":"Telecommunications network","level":2,"score":0.29330000281333923},{"id":"https://openalex.org/C137753397","wikidata":"https://www.wikidata.org/wiki/Q2434424","display_name":"Network science","level":3,"score":0.29089999198913574},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2858000099658966},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.28459998965263367},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.2775000035762787},{"id":"https://openalex.org/C158156997","wikidata":"https://www.wikidata.org/wiki/Q1416645","display_name":"Models of communication","level":2,"score":0.27559998631477356},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2709999978542328},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.2630999982357025},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.26179999113082886},{"id":"https://openalex.org/C123757187","wikidata":"https://www.wikidata.org/wiki/Q9195957","display_name":"Network dynamics","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.25440001487731934}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3774904.3792385","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792385","pdf_url":null,"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 ACM Web Conference 2026","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2603.14895","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2603.14895","pdf_url":"https://arxiv.org/pdf/2603.14895","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,"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"}],"best_oa_location":{"id":"doi:10.1145/3774904.3792385","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792385","pdf_url":null,"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 ACM Web Conference 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.7722932696342468}],"awards":[{"id":"https://openalex.org/G2659616207","display_name":null,"funder_award_id":"T2293771","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Propagation":[0],"models":[1],"are":[2],"essential":[3],"for":[4,82,204],"modeling":[5,57,188],"and":[6,13,32,42,137,164,167,190,200,213],"simulating":[7],"dynamic":[8,168],"processes":[9],"such":[10,134],"as":[11,135],"epidemics":[12],"information":[14],"diffusion.":[15],"However,":[16],"existing":[17],"tools":[18],"struggle":[19],"to":[20,22,36,121,128],"scale":[21],"large-scale":[23,205],"graphs":[24],"that":[25,52,100,111],"emerge":[26],"across":[27],"social":[28,210],"networks,":[29],"epidemic":[30,163],"networks":[31],"so":[33],"on,":[34],"due":[35],"limited":[37],"algorithmic":[38],"efficiency,":[39],"weak":[40],"scalability,":[41,88],"high":[43,155],"communication":[44,102],"overhead.":[45],"We":[46],"present":[47],"FS_GPlib,":[48],"a":[49,63,94,122,140,146,172,197],"unified":[50],"library":[51],"enables":[53],"efficient,":[54],"high-fidelity":[55],"propagation":[56,161,206],"on":[58,145,192],"Web-scale":[59,147],"graphs.":[60],"FS_GPlib":[61,158,195],"introduces":[62],"dual-acceleration":[64],"framework:":[65],"it":[66,89],"combines":[67],"micro-level":[68],"synchronous":[69],"message-passing":[70],"updates":[71],"with":[72,177],"macro-level":[73],"batched":[74],"Monte":[75,142],"Carlo":[76,143],"simulation,":[77],"leveraging":[78],"high-dimensional":[79],"tensor":[80],"operations":[81],"parallel":[83],"execution.":[84],"To":[85],"further":[86],"enhance":[87],"supports":[90,159],"distributed":[91],"simulation":[92,144,156],"via":[93],"novel":[95],"target-node-based":[96],"graph":[97,149],"partitioning":[98],"strategy":[99],"minimizes":[101],"overhead":[103],"while":[104,153],"maintaining":[105,154],"load":[106],"balance.":[107],"Theoretically,":[108],"we":[109],"show":[110],"under":[112],"ideal":[113],"assumptions,":[114],"the":[115,184,193],"runtime":[116],"of":[117,139,187],"simulations":[118],"converges":[119],"approximately":[120],"constant.":[123],"Extensive":[124],"experiments":[125],"demonstrate":[126],"up":[127],"35,000\u00d7":[129],"speedup":[130],"over":[131],"standard":[132],"libraries":[133],"NDlib":[136],"execution":[138],"full":[141],"(billion-edge)":[148],"in":[150,208],"11":[151],"seconds":[152],"fidelity.":[157],"29":[160],"models\u2014including":[162],"opinion":[165],"dynamics":[166],"network":[169,215],"models\u2014and":[170],"offers":[171],"lightweight":[173],"Python":[174],"API":[175],"compatible":[176],"mainstream":[178],"data":[179],"science":[180],"ecosystems.":[181],"By":[182],"addressing":[183],"unique":[185],"challenges":[186],"diffusion":[189],"cascades":[191],"Web,":[194],"provides":[196],"scalable,":[198],"extensible,":[199],"theoretically":[201],"grounded":[202],"solution":[203],"analysis":[207],"epidemiology,":[209],"media":[211],"analysis,":[212],"online":[214],"dynamics.":[216],"Code":[217],"available":[218],"at:":[219],"https://github.com/Allen-Ciel/FS_GPlib.":[220]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-03-20T00:00:00"}
