{"id":"https://openalex.org/W4380994106","doi":"https://doi.org/10.1145/3580305.3599250","title":"Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds","display_name":"Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4380994106","doi":"https://doi.org/10.1145/3580305.3599250"},"language":"en","primary_location":{"id":"doi:10.1145/3580305.3599250","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599250","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2306.08967","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101541938","display_name":"Haoran Deng","orcid":"https://orcid.org/0009-0008-5706-268X"},"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":"Haoran Deng","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035227503","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0002-5058-4417"},"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":"Yang Yang","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102013440","display_name":"Jiahe Li","orcid":"https://orcid.org/0009-0003-5092-1326"},"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":"Jiahe Li","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103274467","display_name":"Haoyang Cai","orcid":"https://orcid.org/0009-0009-1635-6910"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haoyang Cai","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085955762","display_name":"Shiliang Pu","orcid":"https://orcid.org/0000-0001-5269-7821"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shiliang Pu","raw_affiliation_strings":["Hikvision Research Institute, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Hikvision Research Institute, Hangzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082728339","display_name":"Weihao Jiang","orcid":"https://orcid.org/0000-0003-3482-8538"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weihao Jiang","raw_affiliation_strings":["Hikvision Research Institute, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Hikvision Research Institute, Hangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101541938"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.6883,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74945171,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"414","last_page":"425"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998000264167786,"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":0.9998000264167786,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.996399998664856,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7818557620048523},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7097824811935425},{"id":"https://openalex.org/keywords/dynamic-network-analysis","display_name":"Dynamic network analysis","score":0.5794858932495117},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5549870729446411},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5500218272209167},{"id":"https://openalex.org/keywords/pagerank","display_name":"PageRank","score":0.4386400580406189},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.42236411571502686},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.42170950770378113},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1900617778301239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1878308653831482},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.12572041153907776}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7818557620048523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7097824811935425},{"id":"https://openalex.org/C13540734","wikidata":"https://www.wikidata.org/wiki/Q5318996","display_name":"Dynamic network analysis","level":2,"score":0.5794858932495117},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5549870729446411},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5500218272209167},{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.4386400580406189},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42236411571502686},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.42170950770378113},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1900617778301239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1878308653831482},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.12572041153907776},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3580305.3599250","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599250","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2306.08967","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2306.08967","pdf_url":"https://arxiv.org/pdf/2306.08967","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"pmh:oai:arXiv.org:2306.08967","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2306.08967","pdf_url":"https://arxiv.org/pdf/2306.08967","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2376276132","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3658652227","display_name":null,"funder_award_id":"No. 62176233","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4781067941","display_name":null,"funder_award_id":"62176233","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G630077093","display_name":null,"funder_award_id":"No. 2018","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4380994106.pdf","grobid_xml":"https://content.openalex.org/works/W4380994106.grobid-xml"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W1854214752","https://openalex.org/W1888005072","https://openalex.org/W2046253692","https://openalex.org/W2074756834","https://openalex.org/W2101196063","https://openalex.org/W2105543219","https://openalex.org/W2115022330","https://openalex.org/W2117756735","https://openalex.org/W2154851992","https://openalex.org/W2311742723","https://openalex.org/W2399091303","https://openalex.org/W2415243320","https://openalex.org/W2623187518","https://openalex.org/W2787927827","https://openalex.org/W2788379054","https://openalex.org/W2788614083","https://openalex.org/W2795735740","https://openalex.org/W2798557793","https://openalex.org/W2798918712","https://openalex.org/W2806983170","https://openalex.org/W2808087697","https://openalex.org/W2808771744","https://openalex.org/W2809156873","https://openalex.org/W2896457183","https://openalex.org/W2903329593","https://openalex.org/W2911932738","https://openalex.org/W2914833637","https://openalex.org/W2922924332","https://openalex.org/W2937762029","https://openalex.org/W2945726694","https://openalex.org/W2952402334","https://openalex.org/W2962756421","https://openalex.org/W2962975498","https://openalex.org/W2963169753","https://openalex.org/W2963707260","https://openalex.org/W2963885834","https://openalex.org/W2964041447","https://openalex.org/W2964297465","https://openalex.org/W2966694634","https://openalex.org/W2990180888","https://openalex.org/W2998313947","https://openalex.org/W3007813770","https://openalex.org/W3039500550","https://openalex.org/W3047449474","https://openalex.org/W3095042877","https://openalex.org/W3098702884","https://openalex.org/W3101358844","https://openalex.org/W3101543043","https://openalex.org/W3103254545","https://openalex.org/W3103311102","https://openalex.org/W3103995645","https://openalex.org/W3104097132","https://openalex.org/W3159506417","https://openalex.org/W3169353485","https://openalex.org/W4281689849","https://openalex.org/W4287074000","https://openalex.org/W4289389616","https://openalex.org/W4291474301","https://openalex.org/W4293651439","https://openalex.org/W4297571622"],"related_works":["https://openalex.org/W2154222238","https://openalex.org/W2106626222","https://openalex.org/W2980866815","https://openalex.org/W1562405179","https://openalex.org/W2125493559","https://openalex.org/W1544909909","https://openalex.org/W2002053721","https://openalex.org/W2001641889","https://openalex.org/W2310552679","https://openalex.org/W4288391523"],"abstract_inverted_index":{"Network":[0],"embedding,":[1],"a":[2,64,81,129],"graph":[3,157],"representation":[4],"learning":[5],"method":[6],"illustrating":[7],"network":[8,67,101,112,138,168,175],"topology":[9],"by":[10,103],"mapping":[11],"nodes":[12],"into":[13,37],"lower-dimension":[14],"vectors,":[15],"is":[16,28,133],"challenging":[17],"to":[18,135,140,178],"accommodate":[19],"the":[20,38,47,55,74,87,107,111,119,136],"ever-changing":[21],"dynamic":[22,66,100,130,161,167,174],"graphs":[23,162],"in":[24,186],"practice.":[25],"Existing":[26],"research":[27],"mainly":[29],"based":[30],"on":[31,159],"node-by-node":[32,82],"embedding":[33,48,68,77,102,113,176],"modifications,":[34],"which":[35,94],"falls":[36],"dilemma":[39,62],"of":[40,57,76,80,121,125,151],"efficient":[41,97],"calculation":[42],"and":[43,72,98,105,144,156],"accuracy.":[44],"Observing":[45],"that":[46,70,164],"dimensions":[49],"are":[50],"usually":[51],"much":[52],"smaller":[53],"than":[54,118,188],"number":[56,120],"nodes,":[58],"we":[59,85,171],"break":[60],"this":[61],"with":[63,115],"novel":[65],"paradigm":[69],"rotates":[71],"scales":[73],"axes":[75],"space":[78],"instead":[79],"update.":[83],"Specifically,":[84],"propose":[86],"Dynamic":[88],"Adjacency":[89],"Matrix":[90],"Factorization":[91],"(DAMF)":[92],"algorithm,":[93],"achieves":[95],"an":[96],"accurate":[99],"rotating":[104],"scaling":[106],"coordinate":[108],"system":[109],"where":[110,181],"resides":[114],"no":[116],"more":[117],"edge":[122],"modifications":[123],"changes":[124],"node":[126,142,152],"embeddings.":[127],"Moreover,":[128],"Personalized":[131],"PageRank":[132],"applied":[134],"obtained":[137],"embeddings":[139,143],"enhance":[141],"capture":[145],"higher-order":[146],"neighbor":[147],"information":[148],"dynamically.":[149],"Experiments":[150],"classification,":[153],"link":[154],"prediction,":[155],"reconstruction":[158],"different-sized":[160],"suggest":[163],"DAMF":[165,182],"advances":[166],"embedding.":[169],"Further,":[170],"unprecedentedly":[172],"expand":[173],"experiments":[177],"billion-edge":[179],"graphs,":[180],"updates":[183],"billion-level":[184],"parameters":[185],"less":[187],"10ms.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2023-06-17T00:00:00"}
