{"id":"https://openalex.org/W4408935932","doi":"https://doi.org/10.1109/tgrs.2025.3555967","title":"Self-Supervised Graph Masked Autoencoders for Hyperspectral Image Classification","display_name":"Self-Supervised Graph Masked Autoencoders for Hyperspectral Image Classification","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408935932","doi":"https://doi.org/10.1109/tgrs.2025.3555967"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3555967","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3555967","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/A5042177013","display_name":"Zhenghao Hu","orcid":"https://orcid.org/0009-0008-7621-7827"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]},{"id":"https://openalex.org/I4210128284","display_name":"Institute of Optics and Electronics, Chinese Academy of Sciences","ror":"https://ror.org/02bn68w95","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128284"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenghao Hu","raw_affiliation_strings":["Institute of Optics and Electronics, the State Key Laboratory Cultivation Base of Atmospheric Optoelectronic Detection and Information Fusion, Jiangsu International Joint Laboratory on Meteorological Photonics and Optoelectronic Detection, and Jiangsu Engineering Research Center for Intelligent Optoelectronic Sensing Technology of Atmosphere, Nanjing University of Information Science and Technology, Nanjing, China","Institute of Optics and Electronics, the Jiangsu Key Laboratory for Optoelectronic Detection of Atmosphere and Ocean, and the Jiangsu International Joint Laboratory on Meteorological Photonics and Optoelectronic Detection, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Optics and Electronics, the State Key Laboratory Cultivation Base of Atmospheric Optoelectronic Detection and Information Fusion, Jiangsu International Joint Laboratory on Meteorological Photonics and Optoelectronic Detection, and Jiangsu Engineering Research Center for Intelligent Optoelectronic Sensing Technology of Atmosphere, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125","https://openalex.org/I4210128284"]},{"raw_affiliation_string":"Institute of Optics and Electronics, the Jiangsu Key Laboratory for Optoelectronic Detection of Atmosphere and Ocean, and the Jiangsu International Joint Laboratory on Meteorological Photonics and Optoelectronic Detection, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I200845125","https://openalex.org/I4210128284"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037075182","display_name":"Bing Tu","orcid":"https://orcid.org/0000-0001-5802-9496"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]},{"id":"https://openalex.org/I4210128284","display_name":"Institute of Optics and Electronics, Chinese Academy of Sciences","ror":"https://ror.org/02bn68w95","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128284"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Tu","raw_affiliation_strings":["Institute of Optics and Electronics, the State Key Laboratory Cultivation Base of Atmospheric Optoelectronic Detection and Information Fusion, Jiangsu International Joint Laboratory on Meteorological Photonics and Optoelectronic Detection, and Jiangsu Engineering Research Center for Intelligent Optoelectronic Sensing Technology of Atmosphere, Nanjing University of Information Science and Technology, Nanjing, China","Institute of Optics and Electronics, the Jiangsu Key Laboratory for Optoelectronic Detection of Atmosphere and Ocean, and the Jiangsu International Joint Laboratory on Meteorological Photonics and Optoelectronic Detection, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0001-5802-9496","affiliations":[{"raw_affiliation_string":"Institute of Optics and Electronics, the State Key Laboratory Cultivation Base of Atmospheric Optoelectronic Detection and Information Fusion, Jiangsu International Joint Laboratory on Meteorological Photonics and Optoelectronic Detection, and Jiangsu Engineering Research Center for Intelligent Optoelectronic Sensing Technology of Atmosphere, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125","https://openalex.org/I4210128284"]},{"raw_affiliation_string":"Institute of Optics and Electronics, the Jiangsu Key Laboratory for Optoelectronic Detection of Atmosphere and Ocean, and the Jiangsu International Joint Laboratory on Meteorological Photonics and Optoelectronic Detection, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I200845125","https://openalex.org/I4210128284"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009641147","display_name":"Bo Liu","orcid":"https://orcid.org/0000-0002-9603-9975"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]},{"id":"https://openalex.org/I4210128284","display_name":"Institute of Optics and Electronics, Chinese Academy of Sciences","ror":"https://ror.org/02bn68w95","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128284"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Liu","raw_affiliation_strings":["Institute of Optics and Electronics, the State Key Laboratory Cultivation Base of Atmospheric Optoelectronic Detection and Information Fusion, Jiangsu International Joint Laboratory on Meteorological Photonics and Optoelectronic Detection, and Jiangsu Engineering Research Center for Intelligent Optoelectronic Sensing Technology of Atmosphere, Nanjing University of Information Science and Technology, Nanjing, China","Institute of Optics and Electronics, the Jiangsu Key Laboratory for Optoelectronic Detection of Atmosphere and Ocean, and the Jiangsu International Joint Laboratory on Meteorological Photonics and Optoelectronic Detection, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0002-9603-9975","affiliations":[{"raw_affiliation_string":"Institute of Optics and Electronics, the State Key Laboratory Cultivation Base of Atmospheric Optoelectronic Detection and Information Fusion, Jiangsu International Joint Laboratory on Meteorological Photonics and Optoelectronic Detection, and Jiangsu Engineering Research Center for Intelligent Optoelectronic Sensing Technology of Atmosphere, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125","https://openalex.org/I4210128284"]},{"raw_affiliation_string":"Institute of Optics and Electronics, the Jiangsu Key Laboratory for Optoelectronic Detection of Atmosphere and Ocean, and the Jiangsu International Joint Laboratory on Meteorological Photonics and Optoelectronic Detection, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I200845125","https://openalex.org/I4210128284"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102674779","display_name":"Yan He","orcid":"https://orcid.org/0000-0001-6569-4945"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]},{"id":"https://openalex.org/I4210128284","display_name":"Institute of Optics and Electronics, Chinese Academy of Sciences","ror":"https://ror.org/02bn68w95","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128284"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan He","raw_affiliation_strings":["Institute of Optics and Electronics, the State Key Laboratory Cultivation Base of Atmospheric Optoelectronic Detection and Information Fusion, Jiangsu International Joint Laboratory on Meteorological Photonics and Optoelectronic Detection, and Jiangsu Engineering Research Center for Intelligent Optoelectronic Sensing Technology of Atmosphere, Nanjing University of Information Science and Technology, Nanjing, China","Institute of Optics and Electronics, the Jiangsu Key Laboratory for Optoelectronic Detection of Atmosphere and Ocean, and the Jiangsu International Joint Laboratory on Meteorological Photonics and Optoelectronic Detection, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Optics and Electronics, the State Key Laboratory Cultivation Base of Atmospheric Optoelectronic Detection and Information Fusion, Jiangsu International Joint Laboratory on Meteorological Photonics and Optoelectronic Detection, and Jiangsu Engineering Research Center for Intelligent Optoelectronic Sensing Technology of Atmosphere, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125","https://openalex.org/I4210128284"]},{"raw_affiliation_string":"Institute of Optics and Electronics, the Jiangsu Key Laboratory for Optoelectronic Detection of Atmosphere and Ocean, and the Jiangsu International Joint Laboratory on Meteorological Photonics and Optoelectronic Detection, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I200845125","https://openalex.org/I4210128284"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362041","display_name":"Jun Li","orcid":"https://orcid.org/0000-0003-1613-9448"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Li","raw_affiliation_strings":["Faculty of Computer Science, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-1613-9448","affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054292278","display_name":"Antonio Plaza","orcid":"https://orcid.org/0000-0002-9613-1659"},"institutions":[{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Antonio Plaza","raw_affiliation_strings":["Department of Technology of Computers and Communications, Escuela Polit&#x00E9;cnica, Hyperspectral Computing Laboratory, University of Extremadura, C&#x00E1;ceres, Spain","Department of Technology of Computers and Communications, Escuela Politecnica, Hyperspectral Computing Laboratory, University of Extremadura, Cceres, Spain"],"raw_orcid":"https://orcid.org/0000-0002-9613-1659","affiliations":[{"raw_affiliation_string":"Department of Technology of Computers and Communications, Escuela Polit&#x00E9;cnica, Hyperspectral Computing Laboratory, University of Extremadura, C&#x00E1;ceres, Spain","institution_ids":["https://openalex.org/I80606768"]},{"raw_affiliation_string":"Department of Technology of Computers and Communications, Escuela Politecnica, Hyperspectral Computing Laboratory, University of Extremadura, Cceres, Spain","institution_ids":["https://openalex.org/I80606768"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2517,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.91881847,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9169999957084656,"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":0.9169999957084656,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8879347443580627},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6730552911758423},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.641578733921051},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.594207763671875},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4709419012069702},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45417284965515137},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.41001877188682556},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4022522270679474},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3592807352542877},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.15668481588363647}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8879347443580627},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6730552911758423},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.641578733921051},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.594207763671875},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4709419012069702},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45417284965515137},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.41001877188682556},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4022522270679474},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3592807352542877},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.15668481588363647},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3555967","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3555967","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":[],"awards":[{"id":"https://openalex.org/G3732853147","display_name":null,"funder_award_id":"202410300076Z","funder_id":"https://openalex.org/F4320336008","funder_display_name":"National College Students Innovation and Entrepreneurship Training Program"},{"id":"https://openalex.org/G7739554658","display_name":null,"funder_award_id":"62271200","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/F4320336008","display_name":"National College Students Innovation and Entrepreneurship Training Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1521436688","https://openalex.org/W2029316659","https://openalex.org/W2087263574","https://openalex.org/W2089372326","https://openalex.org/W2104269704","https://openalex.org/W2128728535","https://openalex.org/W2131697388","https://openalex.org/W2132648706","https://openalex.org/W2136251662","https://openalex.org/W2345128667","https://openalex.org/W2519653196","https://openalex.org/W2764276316","https://openalex.org/W2793272303","https://openalex.org/W2799390666","https://openalex.org/W2909491643","https://openalex.org/W2912961521","https://openalex.org/W2922073769","https://openalex.org/W2942454403","https://openalex.org/W2964015378","https://openalex.org/W3002674187","https://openalex.org/W3023371261","https://openalex.org/W3035725276","https://openalex.org/W3044657819","https://openalex.org/W3047443805","https://openalex.org/W3048804154","https://openalex.org/W3107591966","https://openalex.org/W3114720220","https://openalex.org/W3131860561","https://openalex.org/W3134210100","https://openalex.org/W3205965083","https://openalex.org/W3214821343","https://openalex.org/W4210794570","https://openalex.org/W4220841454","https://openalex.org/W4283697304","https://openalex.org/W4289792768","https://openalex.org/W4292825900","https://openalex.org/W4301878994","https://openalex.org/W4307091817","https://openalex.org/W4313156423","https://openalex.org/W4321479940","https://openalex.org/W4385958045","https://openalex.org/W4386766977","https://openalex.org/W4389778595","https://openalex.org/W4390480870","https://openalex.org/W4391019542","https://openalex.org/W4400877899","https://openalex.org/W4400905711","https://openalex.org/W4401413770","https://openalex.org/W4401567666","https://openalex.org/W4403060848","https://openalex.org/W4404132547","https://openalex.org/W6738964360","https://openalex.org/W6754929296","https://openalex.org/W6757140150","https://openalex.org/W6785039685","https://openalex.org/W6888491681"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2404757046","https://openalex.org/W2070598848","https://openalex.org/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190"],"abstract_inverted_index":{"Traditional":[0],"supervised":[1,248],"deep":[2],"learning":[3,174],"(DL)":[4],"methods":[5,25],"for":[6,69,132,141,179,188],"hyperspectral":[7],"image":[8],"(HSI)":[9],"classification":[10,226],"are":[11],"severely":[12],"limited":[13],"by":[14,195],"the":[15,28,70,100,125,133,138,142,147,154,157,161,165,169,182,186,189,218,243],"quality":[16],"and":[17,83,90,121,164,230,250],"quantity":[18],"of":[19,30,73,95,117,144,156,181,192,220,246],"labels.":[20],"Furthermore,":[21],"existing":[22],"feature":[23,32,47,67,115,130,208],"extraction":[24,48,68,209],"generally":[26],"lack":[27],"fusion":[29,143],"multiscale":[31,77,92,114,145,206],"information,":[33],"struggling":[34],"to":[35,63,88,111,127,153,256],"handle":[36],"complex":[37],"scenarios.":[38],"To":[39,136],"counter":[40],"these":[41],"problems,":[42],"this":[43],"work":[44],"investigates":[45],"a":[46,76],"module":[49],"based":[50],"on":[51,232],"self-supervised":[52,65,205],"graph":[53,60,78,110],"masked":[54,61,139,162],"autoencoders":[55,62],"(SGMAEs).":[56],"It":[57],"innovatively":[58],"employs":[59],"achieve":[64],"label-free":[66],"complete":[71],"set":[72],"samples,":[74,120],"utilizing":[75],"convolutional":[79],"network":[80],"encoder":[81],"(MGCNE)":[82],"cross":[84,150,196],"correlation":[85,151,197],"decoder":[86],"(CCD)":[87],"extract":[89,113],"fuse":[91],"spatial-spectral":[93,207],"features":[94],"HSI":[96,101,234],"data,":[97],"respectively.":[98],"Specifically,":[99],"data":[102],"is":[103,177],"first":[104],"converted":[105],"into":[106,124],"an":[107,203],"edge-masked":[108],"perturbed":[109],"label-freely":[112],"representations":[116],"all":[118],"pixel":[119,134],"then":[122],"fed":[123],"MGCNE":[126,201],"obtain":[128],"multilayer":[129],"vectors":[131],"nodes.":[135],"reconstruct":[137],"edges":[140,159,167,193],"features,":[146],"CCD":[148],"applies":[149],"calculations":[152],"nodes":[155],"true":[158],"at":[160,168],"positions":[163],"fake":[166],"random":[170],"positions.":[171],"The":[172,199],"contrastive":[173],"loss":[175,187],"function":[176],"proposed":[178,239],"training":[180],"autoencoder,":[183],"which":[184,215],"calculates":[185],"existence":[190],"estimates":[191],"generated":[194],"calculations.":[198],"pretrained":[200],"possesses":[202],"efficient":[204],"capability,":[210],"along":[211],"with":[212],"strong":[213],"generalizability,":[214],"significantly":[216,241],"improves":[217],"accuracy":[219],"various":[221,247],"mainstream":[222,257],"models":[223],"in":[224,254],"downstream":[225],"tasks.":[227],"Extensive":[228],"experiments":[229],"analyses":[231],"multiple":[233],"datasets":[235],"demonstrate":[236],"that":[237],"our":[238],"SGMAE":[240],"enhances":[242],"model":[244],"performance":[245,253],"classifiers":[249],"achieves":[251],"superior":[252],"comparison":[255],"models.":[258]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
