{"id":"https://openalex.org/W4306317895","doi":"https://doi.org/10.1145/3511808.3557084","title":"PlatoGL: Effective and Scalable Deep Graph Learning System for Graph-enhanced Real-Time Recommendation","display_name":"PlatoGL: Effective and Scalable Deep Graph Learning System for Graph-enhanced Real-Time Recommendation","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4306317895","doi":"https://doi.org/10.1145/3511808.3557084"},"language":"en","primary_location":{"id":"doi:10.1145/3511808.3557084","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3511808.3557084","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3511808.3557084","source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3511808.3557084","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100569757","display_name":"Dandan Lin","orcid":"https://orcid.org/0000-0002-2490-101X"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dandan Lin","raw_affiliation_strings":["Tencent Inc., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Inc., Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103070400","display_name":"Shijie Sun","orcid":"https://orcid.org/0000-0003-4043-8448"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shijie Sun","raw_affiliation_strings":["Tencent Inc., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Inc., Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052892856","display_name":"Jingtao Ding","orcid":"https://orcid.org/0000-0001-7985-6263"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingtao Ding","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082461787","display_name":"Xuehan Ke","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuehan Ke","raw_affiliation_strings":["Tencent Inc., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Inc., Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082764294","display_name":"Hao Gu","orcid":"https://orcid.org/0009-0005-9786-4263"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Gu","raw_affiliation_strings":["Tencent Inc., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Inc., Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109874635","display_name":"Xing Huang","orcid":"https://orcid.org/0000-0001-7321-8244"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Huang","raw_affiliation_strings":["Tencent Inc., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Inc., Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037846968","display_name":"Chonggang Song","orcid":"https://orcid.org/0000-0001-8109-4499"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chonggang Song","raw_affiliation_strings":["Tencent Inc., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Inc., Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006801310","display_name":"Xuri Zhang","orcid":"https://orcid.org/0000-0003-3031-6260"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuri Zhang","raw_affiliation_strings":["Tencent Inc., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Inc., Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085014639","display_name":"Lingling Yi","orcid":"https://orcid.org/0000-0001-8809-7676"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingling Yi","raw_affiliation_strings":["Tencent Inc., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Inc., Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091166192","display_name":"Jie Wen","orcid":"https://orcid.org/0000-0002-4959-0692"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Wen","raw_affiliation_strings":["Tencent Inc., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Inc., Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100429133","display_name":"Chuan Chen","orcid":"https://orcid.org/0000-0002-7048-3445"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Chen","raw_affiliation_strings":["Tencent Inc., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Inc., Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5100569757"],"corresponding_institution_ids":["https://openalex.org/I2250653659"],"apc_list":null,"apc_paid":null,"fwci":1.7618,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.87544688,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3302","last_page":"3311"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9991999864578247,"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/T11478","display_name":"Caching and Content Delivery","score":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8718849420547485},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7687206268310547},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5918713808059692},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5907045006752014},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.5358895659446716},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5078909993171692},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.4860396981239319},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.45716583728790283},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44242241978645325},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.38835409283638},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37135612964630127},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3516156077384949},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3281937837600708},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.24631977081298828},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.19101932644844055}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8718849420547485},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7687206268310547},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5918713808059692},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5907045006752014},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.5358895659446716},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5078909993171692},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.4860396981239319},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.45716583728790283},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44242241978645325},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38835409283638},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37135612964630127},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3516156077384949},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3281937837600708},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.24631977081298828},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.19101932644844055},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3511808.3557084","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3511808.3557084","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3511808.3557084","source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3511808.3557084","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3511808.3557084","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3511808.3557084","source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4306317895.pdf","grobid_xml":"https://content.openalex.org/works/W4306317895.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W2034466462","https://openalex.org/W2099419573","https://openalex.org/W2150713082","https://openalex.org/W2512971201","https://openalex.org/W2612872092","https://openalex.org/W2743104969","https://openalex.org/W2753172304","https://openalex.org/W2787933113","https://openalex.org/W2807021761","https://openalex.org/W2902572901","https://openalex.org/W2907492528","https://openalex.org/W2914628078","https://openalex.org/W2926442184","https://openalex.org/W2945827670","https://openalex.org/W2951626319","https://openalex.org/W2963224980","https://openalex.org/W2963707260","https://openalex.org/W2970929262","https://openalex.org/W2972801466","https://openalex.org/W2973172293","https://openalex.org/W2982231843","https://openalex.org/W3023045848","https://openalex.org/W3027097765","https://openalex.org/W3045200674","https://openalex.org/W3100278010","https://openalex.org/W3100848837","https://openalex.org/W3102499482","https://openalex.org/W3102840236","https://openalex.org/W3130104841","https://openalex.org/W3159953606","https://openalex.org/W3164255383","https://openalex.org/W3165913101","https://openalex.org/W3168023209","https://openalex.org/W3170838355","https://openalex.org/W3201632862"],"related_works":["https://openalex.org/W2770234245","https://openalex.org/W96612179","https://openalex.org/W4229499248","https://openalex.org/W2566006169","https://openalex.org/W1567818861","https://openalex.org/W2987774938","https://openalex.org/W4256492088","https://openalex.org/W4390273403","https://openalex.org/W632915154","https://openalex.org/W2055733372"],"abstract_inverted_index":{"Recently,":[0],"graph":[1,67,80,107,118,128,139,153],"neural":[2],"network":[3],"(GNN)":[4],"approaches":[5],"have":[6,168],"received":[7],"huge":[8],"interests":[9],"in":[10,62,171,177,217],"recommendation":[11,28,33,54,61,180,220],"tasks":[12],"due":[13],"to":[14,50,72,162],"their":[15],"ability":[16],"of":[17,86,94],"learning":[18,68,108,119],"more":[19],"effective":[20,126],"user":[21],"and":[22,82,97,155,173,185,193,202],"item":[23],"representations.":[24],"However,":[25,100],"existing":[26,105],"GNN-based":[27,206],"models":[29],"cannot":[30],"support":[31,58],"real-time":[32,63,95,205],"where":[34,123],"the":[35,43,75,84,92,138,164,213],"model":[36,89],"keeps":[37],"its":[38,175,196,200],"freshness":[39],"by":[40],"continuously":[41],"training":[42,96],"streaming":[44,76],"data":[45,77],"that":[46],"users":[47],"produced,":[48],"leading":[49],"negative":[51],"impact":[52],"on":[53,189],"performance.":[55],"To":[56],"fully":[57],"graph-enhanced":[59],"large-scale":[60],"scenarios,":[64],"a":[65,79,115,143,157],"deep":[66,106,117],"system":[69,120],"is":[70,130,149,160],"required":[71],"dynamically":[73],"store":[74],"as":[78],"structure":[81],"enable":[83],"development":[85],"any":[87],"GNN":[88],"incorporated":[90],"with":[91,132,209],"capabilities":[93],"online":[98,215],"inference.":[99],"such":[101],"requirements":[102],"rule":[103],"out":[104],"solutions.":[109],"In":[110],"this":[111],"paper,":[112],"we":[113],"propose":[114],"new":[116],"called":[121],"PlatoGL,":[122,210],"(1)":[124],"an":[125],"block-based":[127],"storage":[129,165],"designed":[131],"non-trivial":[133,144],"insertion/deletion":[134],"mechanism":[135],"for":[136,151],"updating":[137],"topology":[140],"in-milliseconds,":[141],"(2)":[142],"multi-blocks":[145],"neighbour":[146],"sampling":[147],"method":[148],"proposed":[150],"efficient":[152],"query,":[154],"(3)":[156],"cache":[158],"technique":[159],"exploited":[161],"improve":[163],"stability.":[166],"We":[167],"deployed":[169],"PlatoGL":[170],"Wechat,":[172],"leveraged":[174],"capability":[176],"various":[178],"content":[179],"scenarios":[181],"including":[182],"live-streaming,":[183],"article":[184],"micro-video.":[186],"Comprehensive":[187],"experiments":[188],"both":[190],"deployment":[191],"performance":[192],"benchmark":[194],"performance~(w.r.t.":[195],"key":[197],"features)":[198],"demonstrate":[199],"effectiveness":[201],"scalability.":[203],"One":[204],"model,":[207],"developed":[208],"now":[211],"serves":[212],"major":[214],"traffic":[216],"WeChat":[218],"live-streaming":[219],"scenario.":[221]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2025-10-10T00:00:00"}