{"id":"https://openalex.org/W4404481931","doi":"https://doi.org/10.1145/3687123.3698285","title":"Geometric Feature Enhanced Knowledge Graph Embedding and Spatial Reasoning","display_name":"Geometric Feature Enhanced Knowledge Graph Embedding and Spatial Reasoning","publication_year":2024,"publication_date":"2024-10-29","ids":{"openalex":"https://openalex.org/W4404481931","doi":"https://doi.org/10.1145/3687123.3698285"},"language":"en","primary_location":{"id":"doi:10.1145/3687123.3698285","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3687123.3698285","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103124200","display_name":"Lei Hu","orcid":"https://orcid.org/0000-0002-9932-7833"},"institutions":[{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Lei Hu","raw_affiliation_strings":["State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, University of Chinese Academy of Sciences, Beijing, China and School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ, USA"],"raw_orcid":"https://orcid.org/0000-0002-9932-7833","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, University of Chinese Academy of Sciences, Beijing, China and School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I4210160793","https://openalex.org/I4210165038","https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100338179","display_name":"Wenwen Li","orcid":"https://orcid.org/0000-0003-2237-9499"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenwen Li","raw_affiliation_strings":["School of Geographical Sciences and Urban Planning, Arizona State University Tempe, AZ, USA"],"raw_orcid":"https://orcid.org/0000-0003-2237-9499","affiliations":[{"raw_affiliation_string":"School of Geographical Sciences and Urban Planning, Arizona State University Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034281922","display_name":"Yunqiang Zhu","orcid":"https://orcid.org/0000-0002-3356-3067"},"institutions":[{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunqiang Zhu","raw_affiliation_strings":["State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS and University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3356-3067","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS and University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210160793","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"50","last_page":"53"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9995999932289124,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.995199978351593,"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"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7126739025115967},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6451345682144165},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5916773676872253},{"id":"https://openalex.org/keywords/spatial-intelligence","display_name":"Spatial intelligence","score":0.533858597278595},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.482881098985672},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4649661183357239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4503721296787262},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3635028004646301},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3346172571182251}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7126739025115967},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6451345682144165},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5916773676872253},{"id":"https://openalex.org/C155911833","wikidata":"https://www.wikidata.org/wiki/Q3817354","display_name":"Spatial intelligence","level":2,"score":0.533858597278595},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.482881098985672},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4649661183357239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4503721296787262},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3635028004646301},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3346172571182251},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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":1,"locations":[{"id":"doi:10.1145/3687123.3698285","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3687123.3698285","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2015428026","https://openalex.org/W2759136286","https://openalex.org/W3037702162","https://openalex.org/W3126308468","https://openalex.org/W4299591247","https://openalex.org/W4323361161","https://openalex.org/W4403469153"],"related_works":["https://openalex.org/W2604454537","https://openalex.org/W2883748392","https://openalex.org/W2808284704","https://openalex.org/W2897702399","https://openalex.org/W4206028705","https://openalex.org/W2757431232","https://openalex.org/W2954554213","https://openalex.org/W2251363251","https://openalex.org/W4206547516","https://openalex.org/W4293236197"],"abstract_inverted_index":{"Geospatial":[0],"Knowledge":[1],"Graphs":[2],"(GeoKGs)":[3],"model":[4,85],"geoentities":[5,112],"(e.g.,":[6],"places":[7],"and":[8,11,29,37,63,73,93,105,113,125],"natural":[9],"features)":[10],"spatial":[12,30,68,114,123],"relationships":[13],"in":[14],"an":[15],"interconnected":[16],"manner,":[17],"providing":[18,132],"strong":[19],"knowledge":[20,44],"support":[21],"for":[22,35,110,121,136],"geographic":[23,50,81],"applications,":[24],"including":[25,70],"data":[26],"retrieval,":[27],"question-answering,":[28],"reasoning.":[31],"However,":[32],"existing":[33],"methods":[34],"mining":[36,130],"reasoning":[38],"from":[39],"GeoKGs,":[40],"such":[41],"as":[42],"popular":[43],"graph":[45],"embedding":[46,78],"(KGE)":[47],"techniques,":[48],"lack":[49],"awareness.":[51],"This":[52],"study":[53],"aims":[54],"to":[55,75],"enhance":[56],"general-purpose":[57],"KGE":[58],"by":[59],"developing":[60],"new":[61,84,119],"strategies":[62],"integrating":[64,122],"geometric":[65,101],"features":[66],"of":[67,100],"relations,":[69],"topology,":[71],"direction,":[72,106],"distance,":[74],"infuse":[76],"the":[77,94,98,128],"process":[79],"with":[80],"intuition.":[82],"The":[83],"is":[86],"tested":[87],"on":[88],"downstream":[89],"link":[90],"prediction":[91,108],"tasks,":[92],"results":[95],"show":[96],"that":[97],"inclusion":[99],"features,":[102],"particularly":[103],"topology":[104],"improves":[107],"accuracy":[109],"both":[111],"relations.":[115],"Our":[116],"research":[117],"offers":[118],"perspectives":[120],"concepts":[124],"principles":[126],"into":[127],"GeoKG":[129],"process,":[131],"customized":[133],"GeoAI":[134],"solutions":[135],"geospatial":[137],"challenges.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}