{"id":"https://openalex.org/W4385567629","doi":"https://doi.org/10.1145/3580305.3599281","title":"Community-based Dynamic Graph Learning for Popularity Prediction","display_name":"Community-based Dynamic Graph Learning for Popularity Prediction","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385567629","doi":"https://doi.org/10.1145/3580305.3599281"},"language":"en","primary_location":{"id":"doi:10.1145/3580305.3599281","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599281","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":["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/A5103128030","display_name":"Shuo Ji","orcid":"https://orcid.org/0000-0002-8753-5475"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuo Ji","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101400453","display_name":"Xiaodong L\u00fc","orcid":"https://orcid.org/0000-0003-1411-1484"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Lu","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103259414","display_name":"Mingzhe Liu","orcid":"https://orcid.org/0000-0003-2906-4289"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingzhe Liu","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081275566","display_name":"Leilei Sun","orcid":"https://orcid.org/0000-0002-0157-1716"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leilei Sun","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033864788","display_name":"Chuanren Liu","orcid":"https://orcid.org/0000-0001-9030-8495"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chuanren Liu","raw_affiliation_strings":["The University of Tennessee, Knoxville, TN, USA"],"affiliations":[{"raw_affiliation_string":"The University of Tennessee, Knoxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084554454","display_name":"Bowen Du","orcid":"https://orcid.org/0000-0002-6297-5212"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bowen Du","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101862104","display_name":"Hui Xiong","orcid":"https://orcid.org/0000-0001-6016-6465"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hui Xiong","raw_affiliation_strings":["The Hong Kong University of Science and Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology, Guangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5103128030"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":9.0601,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.97852361,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"930","last_page":"940"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T11478","display_name":"Caching and Content Delivery","score":0.9973999857902527,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9970999956130981,"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/popularity","display_name":"Popularity","score":0.9162623882293701},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8400651812553406},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5970619320869446},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.527046263217926},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5203382968902588},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5151504278182983},{"id":"https://openalex.org/keywords/online-community","display_name":"Online community","score":0.5009922981262207},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.46635428071022034},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44722193479537964},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4123046100139618},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3545758128166199},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3418491780757904},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.22859057784080505}],"concepts":[{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.9162623882293701},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8400651812553406},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5970619320869446},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.527046263217926},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5203382968902588},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5151504278182983},{"id":"https://openalex.org/C2778165684","wikidata":"https://www.wikidata.org/wiki/Q6576792","display_name":"Online community","level":2,"score":0.5009922981262207},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.46635428071022034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44722193479537964},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4123046100139618},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3545758128166199},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3418491780757904},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.22859057784080505},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3580305.3599281","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599281","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:repository.hkust.edu.hk:1783.1-130798","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-130798","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"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/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7502749798","display_name":null,"funder_award_id":"62272023","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":33,"referenced_works":["https://openalex.org/W1996263819","https://openalex.org/W2032884174","https://openalex.org/W2187089797","https://openalex.org/W2410819574","https://openalex.org/W2551441958","https://openalex.org/W2593560537","https://openalex.org/W2602256192","https://openalex.org/W2700550412","https://openalex.org/W2747329762","https://openalex.org/W2767220239","https://openalex.org/W2808064058","https://openalex.org/W2895389271","https://openalex.org/W2897605361","https://openalex.org/W2902406982","https://openalex.org/W2903664715","https://openalex.org/W2907927214","https://openalex.org/W2920929883","https://openalex.org/W2922924332","https://openalex.org/W2965635372","https://openalex.org/W2965683718","https://openalex.org/W2982279682","https://openalex.org/W3045200674","https://openalex.org/W3092303062","https://openalex.org/W3099632057","https://openalex.org/W3101358844","https://openalex.org/W3104987177","https://openalex.org/W3125626040","https://openalex.org/W3152922902","https://openalex.org/W3176532798","https://openalex.org/W3212331806","https://openalex.org/W3212567773","https://openalex.org/W4281653831","https://openalex.org/W6600195515"],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W2518037665","https://openalex.org/W2348524959","https://openalex.org/W2477036161","https://openalex.org/W2368049389","https://openalex.org/W2170801710","https://openalex.org/W2384861574","https://openalex.org/W2952704802","https://openalex.org/W2259873046","https://openalex.org/W2968693001"],"abstract_inverted_index":{"Popularity":[0],"prediction,":[1],"which":[2],"aims":[3],"to":[4,11,31,43,100,116,129,154],"forecast":[5],"how":[6,45,212],"many":[7],"users":[8],"would":[9],"like":[10],"interact":[12],"with":[13],"a":[14,83,93,102,123,146,206],"target":[15,168],"item":[16,51,107,169],"or":[17,27,35,75,108,170],"online":[18,25,171],"content":[19,172],"in":[20,205],"the":[21,46,67,113,117,131,137,151,164,167,175,188,195,203,213],"future,":[22],"can":[23],"help":[24],"shopping":[26],"social":[28,56],"media":[29],"platforms":[30],"identify":[32,136],"popular":[33],"items":[34],"digital":[36],"contents.":[37],"Many":[38],"efforts":[39],"have":[40],"been":[41],"made":[42],"study":[44],"multi-faceted":[47],"factors,":[48],"such":[49],"as":[50],"features,":[52],"user":[53,109],"preferences,":[54,208],"and":[55,111,135,157],"influence,":[57],"affect":[58],"user-item":[59,120],"interactions,":[60],"but":[61,209],"little":[62],"work":[63],"has":[64],"focused":[65],"on":[66,174,182],"evolutionary":[68],"dynamics":[69],"of":[70,166],"these":[71],"factors":[72],"for":[73,89,105],"individuals":[74],"groups.":[76],"In":[77],"that":[78,187],"light,":[79],"this":[80],"paper":[81],"develops":[82],"community-based":[84],"dynamic":[85,94,103],"graph":[86,95],"learning":[87,96,152],"method":[88,190,198],"popularity":[90,165],"prediction.":[91],"First,":[92],"framework":[97,144],"is":[98,127],"proposed":[99,189],"maintain":[101],"representation":[104],"each":[106],"entity":[110],"update":[112],"representations":[114],"according":[115],"newly":[118],"observed":[119],"interactions.":[121],"Second,":[122],"community":[124,133],"detection":[125],"module":[126],"designed":[128],"capture":[130,211],"evolving":[132],"structures":[134],"most":[138],"influential":[139],"nodes.":[140],"More":[141],"importantly,":[142],"our":[143],"leverages":[145],"community-level":[147],"message":[148],"passing":[149],"during":[150],"process":[153],"balance":[155],"local":[156],"global":[158],"information":[159],"propagation.":[160],"Finally,":[161],"we":[162],"predict":[163],"based":[173,181],"learned":[176],"representations.":[177],"Our":[178,197],"experimental":[179],"results":[180],"three":[183],"real-world":[184],"datasets":[185],"demonstrate":[186],"achieves":[191],"better":[192],"performance":[193],"than":[194],"baselines.":[196],"could":[199],"not":[200],"only":[201],"model":[202],"changes":[204],"user's":[207],"also":[210],"communities":[214],"evolve":[215],"over":[216],"time.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":4}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
