{"id":"https://openalex.org/W4404461835","doi":"https://doi.org/10.1080/13658816.2024.2427853","title":"Building pattern recognition by using an edge-attention multi-head graph convolutional network","display_name":"Building pattern recognition by using an edge-attention multi-head graph convolutional network","publication_year":2024,"publication_date":"2024-11-18","ids":{"openalex":"https://openalex.org/W4404461835","doi":"https://doi.org/10.1080/13658816.2024.2427853"},"language":"en","primary_location":{"id":"doi:10.1080/13658816.2024.2427853","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2024.2427853","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Geographical Information Science","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/A5100457246","display_name":"Haitao Wang","orcid":"https://orcid.org/0009-0002-1870-5570"},"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":"Haitao Wang","raw_affiliation_strings":["School of Geography and Information Engineering, China University of Geosciences","School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069698847","display_name":"Yongyang Xu","orcid":"https://orcid.org/0000-0001-7421-4915"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"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"]},{"id":"https://openalex.org/I3125743391","display_name":"China University of Geosciences (Beijing)","ror":"https://ror.org/04q6c7p66","country_code":"CN","type":"education","lineage":["https://openalex.org/I3125743391"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongyang Xu","raw_affiliation_strings":["Key Laboratory of Urban Land Resources Moni Toring and Simulation, Ministry of Natural Resources","School of Computer Science, China University of Geosciences","Key Laboratory of Urban Land Resources Moni Toring and Simulation, Ministry of Natural Resources, Shenzhen, China","School of Computer Science, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Urban Land Resources Moni Toring and Simulation, Ministry of Natural Resources","institution_ids":["https://openalex.org/I211433327"]},{"raw_affiliation_string":"School of Computer Science, China University of Geosciences","institution_ids":["https://openalex.org/I3125743391"]},{"raw_affiliation_string":"Key Laboratory of Urban Land Resources Moni Toring and Simulation, Ministry of Natural Resources, Shenzhen, China","institution_ids":["https://openalex.org/I211433327"]},{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061790410","display_name":"Anna Hu","orcid":"https://orcid.org/0000-0002-9037-5636"},"institutions":[{"id":"https://openalex.org/I4210111616","display_name":"Wuhan Business University","ror":"https://ror.org/0282ggx30","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210111616"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anna Hu","raw_affiliation_strings":["School of Information Engineering, Wuhan Business University","School of Information Engineering, Wuhan Business University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Wuhan Business University","institution_ids":["https://openalex.org/I4210111616"]},{"raw_affiliation_string":"School of Information Engineering, Wuhan Business University, Wuhan, China","institution_ids":["https://openalex.org/I4210111616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066466346","display_name":"Xuejing Xie","orcid":"https://orcid.org/0000-0002-3281-7950"},"institutions":[{"id":"https://openalex.org/I4210111616","display_name":"Wuhan Business University","ror":"https://ror.org/0282ggx30","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210111616"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuejing Xie","raw_affiliation_strings":["School of Information Engineering, Wuhan Business University","School of Information Engineering, Wuhan Business University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Wuhan Business University","institution_ids":["https://openalex.org/I4210111616"]},{"raw_affiliation_string":"School of Information Engineering, Wuhan Business University, Wuhan, China","institution_ids":["https://openalex.org/I4210111616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029808719","display_name":"Siqiong Chen","orcid":"https://orcid.org/0000-0001-8219-0087"},"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":"Siqiong Chen","raw_affiliation_strings":["School of Geography and Information Engineering, China University of Geosciences","School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101035813","display_name":"Zhong Xie","orcid":null},"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"]},{"id":"https://openalex.org/I3125743391","display_name":"China University of Geosciences (Beijing)","ror":"https://ror.org/04q6c7p66","country_code":"CN","type":"education","lineage":["https://openalex.org/I3125743391"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong Xie","raw_affiliation_strings":["School of Computer Science, China University of Geosciences","School of Computer Science, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences","institution_ids":["https://openalex.org/I3125743391"]},{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5069698847"],"corresponding_institution_ids":["https://openalex.org/I211433327","https://openalex.org/I3124059619","https://openalex.org/I3125743391"],"apc_list":null,"apc_paid":null,"fwci":1.2296,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78832299,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"39","issue":"4","first_page":"732","last_page":"757"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/geospatial-analysis","display_name":"Geospatial analysis","score":0.6964392066001892},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.67527836561203},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5451187491416931},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5449309945106506},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.542647659778595},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5296066999435425},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5169903039932251},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5161693692207336},{"id":"https://openalex.org/keywords/spatial-relation","display_name":"Spatial relation","score":0.5161348581314087},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5153540968894958},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4250227212905884},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.4194270968437195},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41604506969451904},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4110402464866638},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.334001362323761},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.20042970776557922},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.173294335603714},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.15923261642456055},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15128329396247864},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0889178216457367},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07756143808364868}],"concepts":[{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.6964392066001892},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.67527836561203},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5451187491416931},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5449309945106506},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.542647659778595},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5296066999435425},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5169903039932251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5161693692207336},{"id":"https://openalex.org/C27511587","wikidata":"https://www.wikidata.org/wiki/Q2178623","display_name":"Spatial relation","level":2,"score":0.5161348581314087},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5153540968894958},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4250227212905884},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4194270968437195},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41604506969451904},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4110402464866638},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.334001362323761},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.20042970776557922},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.173294335603714},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.15923261642456055},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15128329396247864},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0889178216457367},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07756143808364868},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/13658816.2024.2427853","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2024.2427853","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Geographical Information Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"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":52,"referenced_works":["https://openalex.org/W6144710","https://openalex.org/W59779684","https://openalex.org/W1483823907","https://openalex.org/W1554437751","https://openalex.org/W1588957466","https://openalex.org/W1966599063","https://openalex.org/W1973749534","https://openalex.org/W1985264227","https://openalex.org/W1995656354","https://openalex.org/W2026723939","https://openalex.org/W2049419770","https://openalex.org/W2053627933","https://openalex.org/W2087072474","https://openalex.org/W2095140185","https://openalex.org/W2112796928","https://openalex.org/W2124258270","https://openalex.org/W2142453803","https://openalex.org/W2157163776","https://openalex.org/W2159934232","https://openalex.org/W2194775991","https://openalex.org/W2284164296","https://openalex.org/W2366268240","https://openalex.org/W2367680083","https://openalex.org/W2414757501","https://openalex.org/W2549804631","https://openalex.org/W2601481531","https://openalex.org/W2725662388","https://openalex.org/W2781423162","https://openalex.org/W2911964244","https://openalex.org/W2919115771","https://openalex.org/W2920964209","https://openalex.org/W2943500295","https://openalex.org/W2948696683","https://openalex.org/W2991593711","https://openalex.org/W2994972229","https://openalex.org/W3015714164","https://openalex.org/W3034407514","https://openalex.org/W3046442394","https://openalex.org/W3133704080","https://openalex.org/W3199599678","https://openalex.org/W4214844856","https://openalex.org/W4220996987","https://openalex.org/W4224303501","https://openalex.org/W4239510810","https://openalex.org/W4292779060","https://openalex.org/W4307085104","https://openalex.org/W4383101617","https://openalex.org/W4386076325","https://openalex.org/W4386967091","https://openalex.org/W4393332326","https://openalex.org/W4396954215","https://openalex.org/W6778883912"],"related_works":["https://openalex.org/W4367313141","https://openalex.org/W4283374591","https://openalex.org/W2004086023","https://openalex.org/W2733999579","https://openalex.org/W2110217573","https://openalex.org/W2910751785","https://openalex.org/W4390100400","https://openalex.org/W4389195459","https://openalex.org/W2925311845","https://openalex.org/W1751031993"],"abstract_inverted_index":{"Effective":[0],"building":[1,14,54,82,90,139],"pattern":[2,83],"recognition,":[3],"a":[4,59,119],"complex":[5,156],"task":[6],"that":[7,67],"requires":[8],"the":[9,38,50,70,126,133,150],"simultaneous":[10],"consideration":[11],"of":[12,44,53,75,129,138],"individual":[13,39,76,89,130],"features":[15,40,77,91],"and":[16,41,73,78,92,97,105,136,141,168,173],"spatial":[17,42,79,93,102,110,157],"relations,":[18,80,94],"is":[19],"essential":[20],"for":[21,175],"successfully":[22],"generalizing":[23],"maps.":[24],"However,":[25],"existing":[26],"deep":[27],"learning":[28],"approaches":[29],"must":[30],"still":[31],"be":[32],"adequately":[33],"comprehensive":[34],"in":[35,49,125,154],"jointly":[36],"quantifying":[37],"relationships":[43],"buildings,":[45],"suggesting":[46],"further":[47],"improvement":[48],"quantitative":[51,71,127,134],"representation":[52,74],"spaces.":[55],"This":[56],"study":[57],"presents":[58],"novel":[60],"edge-attention":[61],"multi-head":[62,121],"graph":[63],"convolutional":[64],"network":[65],"(GCN)":[66],"concurrently":[68],"considers":[69],"modeling":[72,137],"enhancing":[81,176],"recognition.":[84],"The":[85,159],"proposed":[86],"method":[87,160],"captures":[88],"including":[95],"proximity":[96],"arrangement":[98],"similarity,":[99],"by":[100],"using":[101],"relationship":[103],"descriptors":[104],"attention":[106],"mechanisms":[107],"to":[108,123],"generate":[109],"relevance":[111],"coefficients.":[112],"These":[113],"coefficients":[114],"are":[115],"then":[116],"integrated":[117],"into":[118],"weighted":[120],"GCN":[122],"participate":[124],"expression":[128],"features,":[131,140],"facilitating":[132],"analysis":[135,148],"thus,":[142],"improving":[143],"recognition":[144],"performance.":[145],"Our":[146],"experimental":[147],"confirms":[149],"method\u2019s":[151],"superior":[152],"capability":[153],"recognizing":[155],"features.":[158],"also":[161],"demonstrates":[162],"strong":[163],"generalization":[164],"across":[165],"different":[166],"scales":[167],"areas,":[169],"underscoring":[170],"its":[171],"efficacy":[172],"potential":[174],"geospatial":[177],"analyses.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}
