{"id":"https://openalex.org/W4387757481","doi":"https://doi.org/10.1109/tgrs.2023.3325536","title":"Crossed Siamese Vision Graph Neural Network for Remote-Sensing Image Change Detection","display_name":"Crossed Siamese Vision Graph Neural Network for Remote-Sensing Image Change Detection","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387757481","doi":"https://doi.org/10.1109/tgrs.2023.3325536"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3325536","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3325536","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Geoscience and Remote Sensing","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/A5020424053","display_name":"Zhi-Hui You","orcid":null},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi-Hui You","raw_affiliation_strings":["MOE Key Laboratory of ICSP, the IMIS Laboratory of Anhui Province, the Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, and the Zenmorn-AHU AI Joint Laboratory, School of Computer Science and Technology, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-1202-8671","affiliations":[{"raw_affiliation_string":"MOE Key Laboratory of ICSP, the IMIS Laboratory of Anhui Province, the Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, and the Zenmorn-AHU AI Joint Laboratory, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377440","display_name":"Jiaxin Wang","orcid":"https://orcid.org/0000-0002-8053-2597"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia-Xin Wang","raw_affiliation_strings":["MOE Key Laboratory of ICSP, the IMIS Laboratory of Anhui Province, the Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, and the Zenmorn-AHU AI Joint Laboratory, School of Computer Science and Technology, Anhui University, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MOE Key Laboratory of ICSP, the IMIS Laboratory of Anhui Province, the Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, and the Zenmorn-AHU AI Joint Laboratory, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102897927","display_name":"Si-Bao Chen","orcid":"https://orcid.org/0000-0003-1481-0162"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Si-Bao Chen","raw_affiliation_strings":["MOE Key Laboratory of ICSP, the IMIS Laboratory of Anhui Province, the Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, and the Zenmorn-AHU AI Joint Laboratory, School of Computer Science and Technology, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-1481-0162","affiliations":[{"raw_affiliation_string":"MOE Key Laboratory of ICSP, the IMIS Laboratory of Anhui Province, the Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, and the Zenmorn-AHU AI Joint Laboratory, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102823200","display_name":"Chris Ding","orcid":"https://orcid.org/0009-0009-3374-1941"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chris H. Q. Ding","raw_affiliation_strings":["Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102825033","display_name":"Guizhou Wang","orcid":"https://orcid.org/0000-0002-2347-8416"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gui-Zhou Wang","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2347-8416","affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030720334","display_name":"Jin Tang","orcid":"https://orcid.org/0000-0001-8375-3590"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Tang","raw_affiliation_strings":["MOE Key Laboratory of ICSP, the IMIS Laboratory of Anhui Province, the Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, and the Zenmorn-AHU AI Joint Laboratory, School of Computer Science and Technology, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-8375-3590","affiliations":[{"raw_affiliation_string":"MOE Key Laboratory of ICSP, the IMIS Laboratory of Anhui Province, the Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, and the Zenmorn-AHU AI Joint Laboratory, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100372676","display_name":"Bin Luo","orcid":"https://orcid.org/0000-0001-5948-5055"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Luo","raw_affiliation_strings":["MOE Key Laboratory of ICSP, the IMIS Laboratory of Anhui Province, the Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, and the Zenmorn-AHU AI Joint Laboratory, School of Computer Science and Technology, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-5948-5055","affiliations":[{"raw_affiliation_string":"MOE Key Laboratory of ICSP, the IMIS Laboratory of Anhui Province, the Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, and the Zenmorn-AHU AI Joint Laboratory, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2393,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.89501515,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7836974859237671},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.6886616945266724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6721339821815491},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5404511094093323},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.52906733751297},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5254332423210144},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.502335786819458},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.4761931002140045},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4686177372932434},{"id":"https://openalex.org/keywords/fusion-mechanism","display_name":"Fusion mechanism","score":0.4559110403060913},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.434967041015625},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.425010621547699},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.34992116689682007},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08033403754234314}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7836974859237671},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.6886616945266724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6721339821815491},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5404511094093323},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.52906733751297},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5254332423210144},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.502335786819458},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.4761931002140045},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4686177372932434},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.4559110403060913},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.434967041015625},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.425010621547699},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.34992116689682007},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08033403754234314},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C103038307","wikidata":"https://www.wikidata.org/wiki/Q6556360","display_name":"Lipid bilayer fusion","level":3,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3325536","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3325536","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6100000143051147}],"awards":[{"id":"https://openalex.org/G2231845458","display_name":null,"funder_award_id":"61860206004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6474056369","display_name":null,"funder_award_id":"61976004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7114861057","display_name":null,"funder_award_id":"U20B2068","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":71,"referenced_works":["https://openalex.org/W1979061792","https://openalex.org/W2010621424","https://openalex.org/W2015780366","https://openalex.org/W2100290662","https://openalex.org/W2132222679","https://openalex.org/W2140815821","https://openalex.org/W2160544350","https://openalex.org/W2540777836","https://openalex.org/W2565639579","https://openalex.org/W2579702661","https://openalex.org/W2741377155","https://openalex.org/W2775780988","https://openalex.org/W2796796363","https://openalex.org/W2884436604","https://openalex.org/W2884585870","https://openalex.org/W2891248708","https://openalex.org/W2896092083","https://openalex.org/W2908320224","https://openalex.org/W2912411997","https://openalex.org/W2946373483","https://openalex.org/W2951991161","https://openalex.org/W2963840672","https://openalex.org/W2964015378","https://openalex.org/W2980937832","https://openalex.org/W2984954051","https://openalex.org/W2988020997","https://openalex.org/W2997885125","https://openalex.org/W3004423752","https://openalex.org/W3009942016","https://openalex.org/W3010257550","https://openalex.org/W3011156941","https://openalex.org/W3027225766","https://openalex.org/W3032780347","https://openalex.org/W3036453075","https://openalex.org/W3094897602","https://openalex.org/W3099167317","https://openalex.org/W3099503507","https://openalex.org/W3119762784","https://openalex.org/W3120467244","https://openalex.org/W3130754787","https://openalex.org/W3150039746","https://openalex.org/W3152747703","https://openalex.org/W3157506437","https://openalex.org/W3160220642","https://openalex.org/W3177155650","https://openalex.org/W3178882511","https://openalex.org/W3180045188","https://openalex.org/W3197715477","https://openalex.org/W3204841830","https://openalex.org/W3207949352","https://openalex.org/W3211874878","https://openalex.org/W3214719104","https://openalex.org/W4214828290","https://openalex.org/W4226022474","https://openalex.org/W4226253382","https://openalex.org/W4226305459","https://openalex.org/W4226361741","https://openalex.org/W4285118380","https://openalex.org/W4292258945","https://openalex.org/W4292348075","https://openalex.org/W4312549298","https://openalex.org/W4318767292","https://openalex.org/W4320167334","https://openalex.org/W6696085341","https://openalex.org/W6726873649","https://openalex.org/W6753412334","https://openalex.org/W6769242847","https://openalex.org/W6779245778","https://openalex.org/W6795140394","https://openalex.org/W6809456617","https://openalex.org/W6848935878"],"related_works":["https://openalex.org/W2988498288","https://openalex.org/W1991764124","https://openalex.org/W2786308501","https://openalex.org/W2012247345","https://openalex.org/W4318719019","https://openalex.org/W2145243726","https://openalex.org/W2351649588","https://openalex.org/W4378188910","https://openalex.org/W1998943912","https://openalex.org/W2463550667"],"abstract_inverted_index":{"The":[0],"development":[1],"of":[2,67,108,168],"deep":[3],"learning":[4],"in":[5,16,132],"remote":[6],"sensing":[7],"(RS)":[8],"visual":[9],"tasks":[10],"has":[11],"led":[12],"to":[13,32,43,97,127,163],"remarkable":[14],"progress":[15],"RS":[17,23],"image":[18],"change":[19,166,186],"detection":[20,187],"(CD).":[21],"However,":[22],"bi-temporal":[24],"images":[25],"cover":[26],"complex":[27],"and":[28,48,101,115,140,149],"confusing":[29],"scenes":[30],"due":[31],"natural":[33],"environmental":[34],"factors,":[35],"which":[36,79,138],"presents":[37,73],"challenges":[38],"for":[39,64],"CD":[40,75,196],"task.":[41],"How":[42],"effectively":[44,164],"exploit":[45],"long-range":[46,102],"dependencies":[47],"sensitively":[49],"discriminate":[50],"real-changes":[51,129],"with":[52,87],"various":[53],"scales":[54],"from":[55,130,159],"pseudo-changes":[56],"are":[57,143],"urgent":[58],"problems.":[59],"It":[60],"is":[61],"especially":[62],"obvious":[63],"the":[65,133,191],"changes":[66],"building":[68,185],"structures":[69],"man-made.":[70],"This":[71],"paper":[72],"a":[74,94,109,116],"approach":[76],"named":[77],"CSViG,":[78],"utilizes":[80],"Siamese":[81],"Vision":[82],"Graph":[83],"neural":[84],"network":[85],"(SViG)":[86],"crossed":[88],"feature":[89,95,105,111,118],"fusion.":[90],"SViG":[91],"acts":[92],"as":[93],"extractor":[96],"capture":[98],"richer":[99],"short-":[100],"dependencies.":[103],"Crossed":[104],"fusion":[106,112,119],"consists":[107],"horizontal":[110,135],"module":[113,120],"(HFFM)":[114],"vertical":[117,160],"(VFFM).":[121],"HFFM":[122],"designs":[123],"cross-concatenation":[124],"(CC)":[125],"way":[126],"reveal":[128],"pseudo-change":[131],"same":[134],"stage,":[136],"after":[137],"global":[139],"local":[141],"features":[142],"extracted":[144],"by":[145,174],"using":[146,175],"attention":[147,176],"mechanism":[148],"multi-scale":[150],"depth-wise":[151],"separable":[152],"convolution.":[153],"VFFM":[154],"further":[155],"fuses":[156],"complementary":[157],"content":[158],"multiple":[161],"stages":[162],"represent":[165],"regions":[167],"different":[169],"sizes":[170],"(tiny":[171],"or":[172],"huge)":[173],"mechanism.":[177],"Extensive":[178],"comparative":[179],"experiments":[180],"conducted":[181],"on":[182],"three":[183],"available":[184],"datasets":[188],"demonstrate":[189],"that":[190],"proposed":[192],"method":[193],"achieves":[194],"better":[195],"performance":[197],"than":[198],"previous":[199],"counterparts.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":4}],"updated_date":"2026-06-19T17:40:00.097472","created_date":"2025-10-10T00:00:00"}