{"id":"https://openalex.org/W3179489280","doi":"https://doi.org/10.1109/tgrs.2021.3115569","title":"Geographical Knowledge-Driven Representation Learning for Remote Sensing Images","display_name":"Geographical Knowledge-Driven Representation Learning for Remote Sensing Images","publication_year":2021,"publication_date":"2021-10-06","ids":{"openalex":"https://openalex.org/W3179489280","doi":"https://doi.org/10.1109/tgrs.2021.3115569","mag":"3179489280"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2021.3115569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3115569","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","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://export.arxiv.org/pdf/2107.05276","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Wenyuan Li","orcid":"https://orcid.org/0000-0002-3889-2775"},"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":"Wenyuan Li","raw_affiliation_strings":["Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China","Image Processing Center, School of Astronautics, Beihang University, Beijing, China","State Key Laboratory of Virtual Reality Technology and Systems, School of Astronautics, Beihang University, Beijing, China","Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3889-2775","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Image Processing Center, School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101518544","display_name":"Keyan Chen","orcid":"https://orcid.org/0000-0003-0483-1306"},"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":"Keyan Chen","raw_affiliation_strings":["Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China","Image Processing Center, School of Astronautics, Beihang University, Beijing, China","State Key Laboratory of Virtual Reality Technology and Systems, School of Astronautics, Beihang University, Beijing, China","Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0483-1306","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Image Processing Center, School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353576","display_name":"Hao Chen","orcid":"https://orcid.org/0000-0002-6418-3761"},"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":"Hao Chen","raw_affiliation_strings":["Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China","Image Processing Center, School of Astronautics, Beihang University, Beijing, China","State Key Laboratory of Virtual Reality Technology and Systems, School of Astronautics, Beihang University, Beijing, China","Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6418-3761","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Image Processing Center, School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058849690","display_name":"Zhenwei Shi","orcid":"https://orcid.org/0000-0002-4772-3172"},"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":"Zhenwei Shi","raw_affiliation_strings":["Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China","Image Processing Center, School of Astronautics, Beihang University, Beijing, China","State Key Laboratory of Virtual Reality Technology and Systems, School of Astronautics, Beihang University, Beijing, China","Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4772-3172","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Image Processing Center, School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.0986,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.43439534,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"60","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":0.9997000098228455,"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":0.9997000098228455,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9909999966621399,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer 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":0.7476386427879333},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6885854005813599},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.570374071598053},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5277113318443298},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5120642781257629},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.49584659934043884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4739423096179962},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.45700111985206604},{"id":"https://openalex.org/keywords/remote-sensing-application","display_name":"Remote sensing application","score":0.42718690633773804},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4107482135295868},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2016238570213318}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7476386427879333},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6885854005813599},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.570374071598053},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5277113318443298},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5120642781257629},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.49584659934043884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4739423096179962},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.45700111985206604},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.42718690633773804},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4107482135295868},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2016238570213318},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"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/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tgrs.2021.3115569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3115569","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"},{"id":"mag:3179489280","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2107.05276","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2107.05276","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2107.05276","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"mag:3179489280","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2107.05276","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1587384946","display_name":null,"funder_award_id":"4192034","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G444973788","display_name":null,"funder_award_id":"2019YFC1510905","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8320858330","display_name":null,"funder_award_id":"62125102","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/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":88,"referenced_works":["https://openalex.org/W343636949","https://openalex.org/W1686810756","https://openalex.org/W1903029394","https://openalex.org/W1958291604","https://openalex.org/W1980038761","https://openalex.org/W1985864794","https://openalex.org/W2001510610","https://openalex.org/W2013993188","https://openalex.org/W2101234009","https://openalex.org/W2102673432","https://openalex.org/W2108598243","https://openalex.org/W2163922914","https://openalex.org/W2194775991","https://openalex.org/W2308529009","https://openalex.org/W2321533354","https://openalex.org/W2592691248","https://openalex.org/W2599837529","https://openalex.org/W2606014079","https://openalex.org/W2760340275","https://openalex.org/W2769613401","https://openalex.org/W2786935817","https://openalex.org/W2793268137","https://openalex.org/W2798680770","https://openalex.org/W2802773224","https://openalex.org/W2803867573","https://openalex.org/W2883725317","https://openalex.org/W2886397424","https://openalex.org/W2889835342","https://openalex.org/W2910101086","https://openalex.org/W2913939497","https://openalex.org/W2935837427","https://openalex.org/W2948433173","https://openalex.org/W2949117887","https://openalex.org/W2951541198","https://openalex.org/W2962742544","https://openalex.org/W2962843773","https://openalex.org/W2962852342","https://openalex.org/W2963420272","https://openalex.org/W2963826423","https://openalex.org/W2964074409","https://openalex.org/W2982092116","https://openalex.org/W2982376094","https://openalex.org/W2989014883","https://openalex.org/W2990873191","https://openalex.org/W3000554425","https://openalex.org/W3003394660","https://openalex.org/W3005680577","https://openalex.org/W3007268491","https://openalex.org/W3007373432","https://openalex.org/W3008412848","https://openalex.org/W3009561768","https://openalex.org/W3022935549","https://openalex.org/W3034345981","https://openalex.org/W3035060554","https://openalex.org/W3035164673","https://openalex.org/W3035524453","https://openalex.org/W3036224891","https://openalex.org/W3036587262","https://openalex.org/W3042772844","https://openalex.org/W3046027728","https://openalex.org/W3090679658","https://openalex.org/W3105496885","https://openalex.org/W3108948422","https://openalex.org/W3130494073","https://openalex.org/W3134927667","https://openalex.org/W3135512617","https://openalex.org/W3144483443","https://openalex.org/W3145752794","https://openalex.org/W3149860601","https://openalex.org/W3183600011","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6675354045","https://openalex.org/W6685380521","https://openalex.org/W6733814495","https://openalex.org/W6747899497","https://openalex.org/W6748152262","https://openalex.org/W6760424586","https://openalex.org/W6761903662","https://openalex.org/W6763837953","https://openalex.org/W6773987341","https://openalex.org/W6774314701","https://openalex.org/W6774670964","https://openalex.org/W6774730124","https://openalex.org/W6779326418","https://openalex.org/W6779879437","https://openalex.org/W6779997284","https://openalex.org/W6785999971"],"related_works":["https://openalex.org/W3203350115","https://openalex.org/W2901809809","https://openalex.org/W2983552906","https://openalex.org/W3012978528","https://openalex.org/W2901511634","https://openalex.org/W2411392023","https://openalex.org/W2771849416","https://openalex.org/W2987544319","https://openalex.org/W2944709641","https://openalex.org/W2991016375","https://openalex.org/W2900876162","https://openalex.org/W3165258216","https://openalex.org/W2903479328","https://openalex.org/W3033088642","https://openalex.org/W2972117071","https://openalex.org/W3097571175","https://openalex.org/W2889102127","https://openalex.org/W3196744391","https://openalex.org/W2775480203","https://openalex.org/W2946707925"],"abstract_inverted_index":{"The":[0,76],"proliferation":[1],"of":[2,12,27,173],"remote":[3,13,28,63,87,123,143],"sensing":[4,14,29,64,88,124,144],"satellites":[5,149],"has":[6],"resulted":[7],"in":[8],"a":[9,34,55,200],"massive":[10],"amount":[11],"images.":[15],"However,":[16],"due":[17],"to":[18,40,95,110,136],"human":[19],"and":[20,69,81,101,119,126,163,168,187],"material":[21],"resource":[22],"constraints,":[23],"the":[24,49,71,112,171],"vast":[25],"majority":[26],"images":[30,125,145],"remain":[31],"unlabeled.":[32],"As":[33],"result,":[35],"it":[36],"cannot":[37],"be":[38,197,209],"applied":[39],"currently":[41],"available":[42,210],"deep":[43],"learning":[44,60,100,166],"methods.":[45],"To":[46],"fully":[47],"utilize":[48],"remaining":[50],"unlabeled":[51],"images,":[52,65],"we":[53],"propose":[54],"Geographical":[56],"Knowledge-driven":[57],"Representation":[58],"(GeoKR)":[59],"method":[61,159,195],"for":[62,73,98,203],"improving":[66],"network":[67,102,138],"performance":[68],"reduce":[70],"demand":[72],"annotated":[74],"data.":[75],"global":[77],"land":[78],"cover":[79],"products":[80],"geographical":[82,93,127],"location":[83],"associated":[84],"with":[85,150],"each":[86],"image":[89],"are":[90],"regarded":[91],"as":[92,180,199],"knowledge":[94],"provide":[96],"supervision":[97,113],"representation":[99,165],"pretraining.":[103,139],"An":[104],"efficient":[105],"pretraining":[106,131,162,204],"framework":[107],"is":[108,134],"proposed":[109,158,194],"eliminate":[111],"noises":[114],"caused":[115],"by":[116],"imaging":[117],"times":[118],"resolutions":[120],"difference":[121],"between":[122],"knowledge.":[128],"A":[129],"large-scale":[130],"dataset":[132],"Levir-KR":[133],"constructed":[135],"support":[137],"It":[140,190],"contains":[141],"1431950":[142],"from":[146],"Gaofen":[147],"series":[148],"various":[151],"resolutions.":[152],"Experimental":[153],"results":[154],"demonstrate":[155],"that":[156,192],"our":[157,193],"outperforms":[160],"ImageNet":[161],"self-supervised":[164],"methods":[167],"significantly":[169],"reduces":[170],"burden":[172],"data":[174],"annotation":[175],"on":[176],"downstream":[177],"tasks,":[178],"such":[179],"scene":[181],"classification,":[182],"semantic":[183],"segmentation,":[184],"object":[185],"detection,":[186],"cloud/snow":[188],"detection.":[189],"demonstrates":[191],"can":[196],"used":[198],"novel":[201],"paradigm":[202],"neural":[205],"networks.":[206],"Codes":[207],"will":[208],"onhttps://github.com/flyakon/Geographical-Knowledge-driven-Representaion-Learning.":[211]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}