{"id":"https://openalex.org/W4412536505","doi":"https://doi.org/10.1109/tkde.2025.3591395","title":"DVCAE: Semi-Supervised Dual Variational Cascade Autoencoders for Information Popularity Prediction","display_name":"DVCAE: Semi-Supervised Dual Variational Cascade Autoencoders for Information Popularity Prediction","publication_year":2025,"publication_date":"2025-07-21","ids":{"openalex":"https://openalex.org/W4412536505","doi":"https://doi.org/10.1109/tkde.2025.3591395"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2025.3591395","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3591395","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","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/A5003858539","display_name":"Jiaxing Shang","orcid":"https://orcid.org/0000-0002-3152-1760"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiaxing Shang","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China","ollege of Computer Science, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"ollege of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033696200","display_name":"Xueqi Jia","orcid":"https://orcid.org/0000-0002-4366-3643"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueqi Jia","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China","ollege of Computer Science, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"ollege of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043061422","display_name":"Xiaoquan Li","orcid":"https://orcid.org/0000-0002-6570-176X"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoquan Li","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China","ollege of Computer Science, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"ollege of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002241280","display_name":"Fei Hao","orcid":"https://orcid.org/0000-0001-5288-5523"},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Hao","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Shaanxi Normal University, Xi&#x2019;an, China","School of Computer Science, Shaanxi Normal University, Xi&#x0027;an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Shaanxi Normal University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I88830068"]},{"raw_affiliation_string":"School of Computer Science, Shaanxi Normal University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I88830068"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109067573","display_name":"Ruiyuan Li","orcid":"https://orcid.org/0000-0002-6481-0657"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiyuan Li","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China","ollege of Computer Science, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"ollege of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100770003","display_name":"Geyong Min","orcid":"https://orcid.org/0000-0003-1395-7314"},"institutions":[{"id":"https://openalex.org/I23923803","display_name":"University of Exeter","ror":"https://ror.org/03yghzc09","country_code":"GB","type":"education","lineage":["https://openalex.org/I23923803"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Geyong Min","raw_affiliation_strings":["Department of Computer Science, University of Exeter, Exeter, U.K","Department of Computer Science, University of Exeter, Exeter, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Exeter, Exeter, U.K","institution_ids":["https://openalex.org/I23923803"]},{"raw_affiliation_string":"Department of Computer Science, University of Exeter, Exeter, UK","institution_ids":["https://openalex.org/I23923803"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5003858539"],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":2.3568,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.90123078,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"37","issue":"10","first_page":"5838","last_page":"5851"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9779000282287598,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9779000282287598,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9664999842643738,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.941100001335144,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7915324568748474},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.7483073472976685},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.71126389503479},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.6835770606994629},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6137358546257019},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39977937936782837},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3758943974971771},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3672753870487213}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7915324568748474},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.7483073472976685},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.71126389503479},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.6835770606994629},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6137358546257019},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39977937936782837},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3758943974971771},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3672753870487213},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2025.3591395","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3591395","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6384375446","display_name":null,"funder_award_id":"2022M720567","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7071368817","display_name":null,"funder_award_id":"62477029","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8871286114","display_name":null,"funder_award_id":"62202070","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"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1996263819","https://openalex.org/W2037970810","https://openalex.org/W2117756735","https://openalex.org/W2154851992","https://openalex.org/W2551441958","https://openalex.org/W2740189214","https://openalex.org/W2767220239","https://openalex.org/W2792234394","https://openalex.org/W2809583854","https://openalex.org/W2907927214","https://openalex.org/W2914833637","https://openalex.org/W2921701073","https://openalex.org/W2952395191","https://openalex.org/W2954973878","https://openalex.org/W2962756421","https://openalex.org/W2963493749","https://openalex.org/W2971779724","https://openalex.org/W3001111845","https://openalex.org/W3028571922","https://openalex.org/W3125331139","https://openalex.org/W3133932448","https://openalex.org/W3135434489","https://openalex.org/W3156939347","https://openalex.org/W3194841521","https://openalex.org/W3196754906","https://openalex.org/W3210137333","https://openalex.org/W3212331806","https://openalex.org/W3215392094","https://openalex.org/W4200012112","https://openalex.org/W4200534804","https://openalex.org/W4225530754","https://openalex.org/W4281653831","https://openalex.org/W4292688094","https://openalex.org/W4312611382","https://openalex.org/W4312656781","https://openalex.org/W4385567629","https://openalex.org/W4385988053","https://openalex.org/W4386865408","https://openalex.org/W4389991891","https://openalex.org/W4390534016","https://openalex.org/W4392397312","https://openalex.org/W4393483100","https://openalex.org/W4396594864","https://openalex.org/W4399450801","https://openalex.org/W4401732282","https://openalex.org/W4401857143"],"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/W2384861574","https://openalex.org/W4294565801","https://openalex.org/W2170801710","https://openalex.org/W2952704802","https://openalex.org/W2741781807"],"abstract_inverted_index":{"Predicting":[0],"information":[1,112],"popularity":[2,97],"in":[3,54,190],"social":[4,59],"networks":[5],"has":[6],"become":[7],"a":[8,75,106],"central":[9],"focus":[10,40],"of":[11,192],"network":[12],"analysis.":[13],"While":[14],"recent":[15],"advancements":[16],"have":[17],"been":[18],"made,":[19],"most":[20],"existing":[21],"approaches":[22],"rely":[23],"solely":[24],"on":[25,128,180],"the":[26,31,42,170],"final":[27],"cascade":[28,132],"size":[29],"as":[30],"primary":[32],"supervision":[33,175],"signal":[34],"for":[35,92,157],"model":[36,43,77,100],"optimization.":[37],"This":[38],"narrow":[39],"limits":[41],"generalization":[44],"ability,":[45],"particularly":[46],"when":[47],"faced":[48],"with":[49,163],"highly":[50],"heterogeneous":[51],"cascades.":[52,115],"Additionally,":[53],"real-world":[55,182],"scenarios,":[56],"obtaining":[57],"detailed":[58],"relationships":[60],"is":[61],"challenging,":[62],"complicating":[63],"effective":[64],"structural":[65,87,111,158],"feature":[66,94],"learning.":[67],"To":[68],"address":[69],"these":[70],"issues,":[71],"this":[72],"paper":[73],"proposes":[74],"semi-supervised":[76],"called":[78],"Dual":[79],"Variational":[80],"Cascade":[81],"AutoEncoders":[82],"(DVCAE),":[83],"which":[84],"leverages":[85],"parallel":[86,148],"and":[88,96,124,130,159],"temporal":[89,160],"variational":[90,149],"autoencoders":[91,150],"enhanced":[93],"learning":[95],"prediction.":[98],"The":[99],"first":[101],"aggregates":[102],"multiple":[103],"cascades":[104],"into":[105,169],"global":[107,129],"interaction":[108],"graph,":[109],"enabling":[110],"sharing":[113],"across":[114],"Then,":[116],"it":[117],"applies":[118],"sparse":[119],"matrix":[120],"factorization-based":[121],"graph":[122,125],"embedding":[123],"filtering":[126],"techniques":[127],"local":[131],"graphs":[133],"respectively,":[134,162],"generating":[135],"initial":[136],"node":[137],"embeddings":[138],"that":[139,185],"are":[140,151],"insensitive":[141],"to":[142,153,173],"topological":[143],"perturbations.":[144],"After":[145],"that,":[146],"two":[147,164],"designed":[152],"generate":[154],"hidden":[155],"representations":[156],"features":[161],"self-supervised":[165],"reconstruction":[166],"losses":[167],"integrated":[168],"prediction":[171,193],"loss":[172],"enrich":[174],"signals.":[176],"Extensive":[177],"experiments":[178],"conducted":[179],"three":[181],"datasets":[183],"demonstrate":[184],"DVCAE":[186],"outperforms":[187],"state-of-the-art":[188],"models":[189],"terms":[191],"accuracy.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
