{"id":"https://openalex.org/W4413973325","doi":"https://doi.org/10.14778/3746405.3746430","title":"Effective and Efficient Distributed Temporal Graph Learning through Hotspot Memory Sharing","display_name":"Effective and Efficient Distributed Temporal Graph Learning through Hotspot Memory Sharing","publication_year":2025,"publication_date":"2025-05-01","ids":{"openalex":"https://openalex.org/W4413973325","doi":"https://doi.org/10.14778/3746405.3746430"},"language":"en","primary_location":{"id":"doi:10.14778/3746405.3746430","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3746405.3746430","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":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051865316","display_name":"L.C. Zhang","orcid":"https://orcid.org/0000-0001-8327-3175"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Longjiao Zhang","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100431161","display_name":"Rui Wang","orcid":"https://orcid.org/0000-0001-8915-4169"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Wang","raw_affiliation_strings":["Zhejiang University, High-Tech Zone (Binjiang), Institute of Blockchain and Data Security"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, High-Tech Zone (Binjiang), Institute of Blockchain and Data Security","institution_ids":["https://openalex.org/I1328775524"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058282223","display_name":"Tongya Zheng","orcid":"https://orcid.org/0000-0003-1190-9773"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongya Zheng","raw_affiliation_strings":["Zhejiang Key Laboratory of Big Data Intelligent Computing, Hangzhou City University"],"affiliations":[{"raw_affiliation_string":"Zhejiang Key Laboratory of Big Data Intelligent Computing, Hangzhou City University","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101830887","display_name":"Ziqi Huang","orcid":"https://orcid.org/0000-0001-8008-5873"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziqi Huang","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101638307","display_name":"Wenjie Huang","orcid":"https://orcid.org/0000-0003-3238-0573"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjie Huang","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100352800","display_name":"Xinyu Wang","orcid":"https://orcid.org/0000-0002-5507-6569"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Wang","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100428572","display_name":"Can Wang","orcid":"https://orcid.org/0000-0002-2890-0057"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Can Wang","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026532752","display_name":"Mingli Song","orcid":"https://orcid.org/0000-0003-2621-6048"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingli Song","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017672363","display_name":"Sai Wu","orcid":"https://orcid.org/0000-0002-7903-1496"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sai Wu","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004997843","display_name":"Shuibing He","orcid":"https://orcid.org/0000-0002-7075-4153"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuibing He","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5051865316"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13553508,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":"9","first_page":"3093","last_page":"3105"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9957000017166138,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9930999875068665,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hotspot","display_name":"Hotspot (geology)","score":0.6571526527404785},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6239769458770752},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4557674527168274},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3770352005958557},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11043491959571838},{"id":"https://openalex.org/keywords/geophysics","display_name":"Geophysics","score":0.10447043180465698}],"concepts":[{"id":"https://openalex.org/C146481406","wikidata":"https://www.wikidata.org/wiki/Q105131","display_name":"Hotspot (geology)","level":2,"score":0.6571526527404785},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6239769458770752},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4557674527168274},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3770352005958557},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11043491959571838},{"id":"https://openalex.org/C8058405","wikidata":"https://www.wikidata.org/wiki/Q46255","display_name":"Geophysics","level":1,"score":0.10447043180465698}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3746405.3746430","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3746405.3746430","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W2006023152","https://openalex.org/W2914721378","https://openalex.org/W2965683718","https://openalex.org/W3009233884","https://openalex.org/W3012588100","https://openalex.org/W3109841242","https://openalex.org/W3121087702","https://openalex.org/W3166605255","https://openalex.org/W4220807331","https://openalex.org/W4283314525","https://openalex.org/W4283366315","https://openalex.org/W4308083573","https://openalex.org/W4328008037","https://openalex.org/W4366492495","https://openalex.org/W4376864949","https://openalex.org/W4380433123","https://openalex.org/W4385623050","https://openalex.org/W4388099759","https://openalex.org/W4388662082","https://openalex.org/W4391054902","https://openalex.org/W4392182051","https://openalex.org/W4394998979","https://openalex.org/W4396571465","https://openalex.org/W4399175255","https://openalex.org/W4400944397","https://openalex.org/W4401863698","https://openalex.org/W4405741242","https://openalex.org/W4412605554"],"related_works":["https://openalex.org/W2026512611","https://openalex.org/W4245497162","https://openalex.org/W1985165680","https://openalex.org/W2353146130","https://openalex.org/W2339366892","https://openalex.org/W2353073543","https://openalex.org/W1507921119","https://openalex.org/W254684032","https://openalex.org/W1848192231","https://openalex.org/W1824582190"],"abstract_inverted_index":{"Memory-based":[0],"temporal":[1,11,22],"graph":[2,110],"neural":[3],"network":[4],"(MTGNN)":[5],"models":[6],"are":[7],"effective":[8],"for":[9,30,101],"predicting":[10],"graphs":[12,32],"by":[13],"using":[14],"node":[15,82],"memory":[16,47,63,83,102],"and":[17,23,39,46,62,95,117,134],"message-passing":[18],"modules":[19],"to":[20,43,97],"capture":[21],"structural":[24],"information,":[25],"respectively.":[26],"However,":[27],"distributed":[28,74,99,129],"training":[29,135],"large":[31],"presents":[33],"challenges":[34],"such":[35],"as":[36],"accuracy":[37,133],"loss":[38],"decreased":[40],"efficiency":[41],"due":[42],"remote":[44],"features":[45],"transmission.":[48],"Despite":[49],"improvements":[50],"in":[51,132],"MTGNN":[52,75,130],"system":[53],"optimizations,":[54],"issues":[55],"like":[56,107],"dynamic":[57],"load":[58],"imbalances,":[59],"communication":[60,100],"overhead,":[61],"staleness":[64],"persist.":[65],"To":[66],"tackle":[67],"these":[68],"challenges,":[69],"we":[70],"introduce":[71],"MemShare,":[72],"a":[73,79,87],"system.":[76],"MemShare":[77,126],"introduces":[78],"novel":[80],"shared":[81,91,108,112,118],"paradigm":[84],"that":[85,125],"utilizes":[86],"small":[88],"subset":[89],"of":[90],"nodes":[92],"across":[93],"machines":[94],"GPUs":[96],"reduce":[98],"management.":[103],"It":[104],"incorporates":[105],"techniques":[106],"nodes-centric":[109],"partitioning,":[111],"nodes-aware":[113],"boundary":[114],"decay":[115],"sampling,":[116],"nodes-targeted":[119],"synchronous":[120],"smoothing":[121],"aggregation.":[122],"Experiments":[123],"show":[124],"outperforms":[127],"existing":[128],"systems":[131],"efficiency.":[136]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}