{"id":"https://openalex.org/W4413967066","doi":"https://doi.org/10.1109/tkde.2025.3605795","title":"A Diffusive Data Augmentation Framework for Reconstruction of Complex Network Evolutionary History","display_name":"A Diffusive Data Augmentation Framework for Reconstruction of Complex Network Evolutionary History","publication_year":2025,"publication_date":"2025-09-03","ids":{"openalex":"https://openalex.org/W4413967066","doi":"https://doi.org/10.1109/tkde.2025.3605795"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2025.3605795","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3605795","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":null,"display_name":"En Xu","orcid":"https://orcid.org/0000-0002-8654-2788"},"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":"En Xu","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8654-2788","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035525018","display_name":"Can Rong","orcid":"https://orcid.org/0000-0002-5846-724X"},"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":"Can Rong","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5846-724X","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"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":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7985-6263","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yong Li","orcid":"https://orcid.org/0000-0001-5617-1659"},"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":"Yong Li","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5617-1659","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":1.8447,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.86526111,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"38","issue":"2","first_page":"694","last_page":"707"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9520999789237976,"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"}},"topics":[{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9520999789237976,"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"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9294999837875366,"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"}},{"id":"https://openalex.org/T11764","display_name":"Evolution and Genetic Dynamics","score":0.9197999835014343,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7834265232086182},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32936182618141174}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7834265232086182},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32936182618141174}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2025.3605795","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3605795","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/G3614744892","display_name":null,"funder_award_id":"U23B2030","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5055030421","display_name":null,"funder_award_id":"62476152","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1979104937","https://openalex.org/W1982803213","https://openalex.org/W2014219430","https://openalex.org/W2023889921","https://openalex.org/W2070722739","https://openalex.org/W2074617510","https://openalex.org/W2089803230","https://openalex.org/W2104977387","https://openalex.org/W2112090702","https://openalex.org/W2121821841","https://openalex.org/W2293888960","https://openalex.org/W2294347342","https://openalex.org/W2566971417","https://openalex.org/W2609596385","https://openalex.org/W2734601503","https://openalex.org/W2953640184","https://openalex.org/W2963648029","https://openalex.org/W2963775176","https://openalex.org/W2967662852","https://openalex.org/W3037819556","https://openalex.org/W3080902222","https://openalex.org/W3154973012","https://openalex.org/W3173985861","https://openalex.org/W3176049064","https://openalex.org/W3210458411","https://openalex.org/W4200484503","https://openalex.org/W4237874448","https://openalex.org/W4283810138","https://openalex.org/W4311029059","https://openalex.org/W4385567790","https://openalex.org/W4393392404","https://openalex.org/W4393427223","https://openalex.org/W4394828208","https://openalex.org/W4400906885","https://openalex.org/W4401387486","https://openalex.org/W4401863739","https://openalex.org/W4402496391","https://openalex.org/W4402915290","https://openalex.org/W4403718772","https://openalex.org/W4407948335","https://openalex.org/W4409906155","https://openalex.org/W4410636873","https://openalex.org/W4416931223"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0],"evolutionary":[1],"dynamics":[2],"of":[3,18,23,44,134,175],"complex":[4],"systems":[5,28],"encode":[6],"critical":[7],"information":[8],"about":[9],"their":[10],"functional":[11],"organization.":[12],"In":[13],"particular,":[14],"the":[15,51,132,173],"generation":[16,80],"times":[17,81],"edges":[19],"reveal":[20],"key":[21],"aspects":[22],"historical":[24],"development":[25],"in":[26,49,77,82,169,178],"networked":[27],"such":[29],"as":[30],"protein-protein":[31],"interaction":[32,55],"networks,":[33],"ecosystems,":[34],"and":[35,67,117,156],"social":[36],"networks.":[37,107],"Accurately":[38],"recovering":[39,78],"these":[40],"temporal":[41,86,106,136],"processes":[42],"is":[43],"significant":[45],"scientific":[46],"value-for":[47],"example,":[48],"elucidating":[50],"mechanisms":[52],"underlying":[53],"protein":[54],"evolution.":[56],"However,":[57],"existing":[58],"methods":[59],"typically":[60],"assume":[61],"access":[62],"to":[63,70,125,130],"partially":[64],"time-stamped":[65],"networks":[66,84,116],"often":[68],"struggle":[69],"generalize":[71,114],"across":[72,115],"domains.":[73],"They":[74],"perform":[75],"poorly":[76],"edge":[79],"static":[83],"without":[85],"annotations.":[87],"To":[88],"address":[89],"this":[90],"challenge,":[91],"we":[92,138],"propose":[93],"a":[94,140],"comparative":[95],"paradigm":[96],"that":[97,113],"enables":[98],"cross-network":[99],"learning":[100],"by":[101,120],"jointly":[102],"training":[103,127],"on":[104,122],"multiple":[105],"This":[108],"framework":[109],"captures":[110],"structural-temporal":[111],"correlations":[112],"improves":[118],"accuracy":[119],"16.98%":[121],"average":[123],"compared":[124],"separate":[126],"strategies.":[128],"Furthermore,":[129],"mitigate":[131],"scarcity":[133],"real":[135,155],"data,":[137],"introduce":[139],"novel":[141],"diffusion-based":[142],"generative":[143],"model":[144],"for":[145],"producing":[146],"Augmented":[147],"Temporal":[148],"Networks":[149],"(ATNs)":[150],".":[151],"By":[152],"integrating":[153],"both":[154],"generated":[157],"samples":[158],"during":[159],"training,":[160],"our":[161],"joint":[162],"strategy":[163],"yields":[164],"an":[165],"additional":[166],"5.46%":[167],"improvement":[168],"predictive":[170],"accuracy,":[171],"demonstrating":[172],"effectiveness":[174],"data":[176],"augmentation":[177],"enhancing":[179],"generalization.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}