{"id":"https://openalex.org/W4387024325","doi":"https://doi.org/10.1007/s41060-023-00452-2","title":"Graph construction on complex spatiotemporal data for enhancing graph neural network-based approaches","display_name":"Graph construction on complex spatiotemporal data for enhancing graph neural network-based approaches","publication_year":2023,"publication_date":"2023-09-25","ids":{"openalex":"https://openalex.org/W4387024325","doi":"https://doi.org/10.1007/s41060-023-00452-2"},"language":"en","primary_location":{"id":"doi:10.1007/s41060-023-00452-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41060-023-00452-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41060-023-00452-2.pdf","source":{"id":"https://openalex.org/S4210195017","display_name":"International Journal of Data Science and Analytics","issn_l":"2364-415X","issn":["2364-415X","2364-4168"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Science and Analytics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s41060-023-00452-2.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005453821","display_name":"Stefan Bloemheuvel","orcid":null},"institutions":[{"id":"https://openalex.org/I193700539","display_name":"Tilburg University","ror":"https://ror.org/04b8v1s79","country_code":"NL","type":"education","lineage":["https://openalex.org/I193700539"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Stefan Bloemheuvel","raw_affiliation_strings":["Jheronimus Academy of Data Science, 5211 DA, \u2019s-Hertogenbosch, The Netherlands","TSHD, Department of Cognitive Science and Artificial Intelligence, Tilburg University, 5037 AB, Tilburg, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Jheronimus Academy of Data Science, 5211 DA, \u2019s-Hertogenbosch, The Netherlands","institution_ids":[]},{"raw_affiliation_string":"TSHD, Department of Cognitive Science and Artificial Intelligence, Tilburg University, 5037 AB, Tilburg, The Netherlands","institution_ids":["https://openalex.org/I193700539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025097256","display_name":"Jurgen van den Hoogen","orcid":"https://orcid.org/0000-0001-5723-6629"},"institutions":[{"id":"https://openalex.org/I193700539","display_name":"Tilburg University","ror":"https://ror.org/04b8v1s79","country_code":"NL","type":"education","lineage":["https://openalex.org/I193700539"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jurgen van den Hoogen","raw_affiliation_strings":["Jheronimus Academy of Data Science, 5211 DA, \u2019s-Hertogenbosch, The Netherlands","TSHD, Department of Cognitive Science and Artificial Intelligence, Tilburg University, 5037 AB, Tilburg, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Jheronimus Academy of Data Science, 5211 DA, \u2019s-Hertogenbosch, The Netherlands","institution_ids":[]},{"raw_affiliation_string":"TSHD, Department of Cognitive Science and Artificial Intelligence, Tilburg University, 5037 AB, Tilburg, The Netherlands","institution_ids":["https://openalex.org/I193700539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011835245","display_name":"Martin Atzmueller","orcid":"https://orcid.org/0000-0002-2480-6901"},"institutions":[{"id":"https://openalex.org/I170658231","display_name":"Osnabr\u00fcck University","ror":"https://ror.org/04qmmjx98","country_code":"DE","type":"education","lineage":["https://openalex.org/I170658231"]},{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Martin Atzmueller","raw_affiliation_strings":["German Research Center for Artificial Intelligence (DFKI), Hamburger Stra\u00dfe 24, 49084, Osnabr\u00fcck, Germany","Semantic Information Systems Group, Osnabr\u00fcck University, Wachsbleiche 27, 49090, Osnabr\u00fcck, Germany"],"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence (DFKI), Hamburger Stra\u00dfe 24, 49084, Osnabr\u00fcck, Germany","institution_ids":["https://openalex.org/I33256026"]},{"raw_affiliation_string":"Semantic Information Systems Group, Osnabr\u00fcck University, Wachsbleiche 27, 49090, Osnabr\u00fcck, Germany","institution_ids":["https://openalex.org/I170658231"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011835245"],"corresponding_institution_ids":["https://openalex.org/I170658231","https://openalex.org/I33256026"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":6.6156,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.96092747,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"18","issue":"2","first_page":"157","last_page":"174"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9944000244140625,"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"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9944000244140625,"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"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7269728183746338},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5687837600708008},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.563722550868988},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5003032684326172},{"id":"https://openalex.org/keywords/power-graph-analysis","display_name":"Power graph analysis","score":0.4760296642780304},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.434409499168396},{"id":"https://openalex.org/keywords/clustering-coefficient","display_name":"Clustering coefficient","score":0.4266068637371063},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29181107878685}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7269728183746338},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5687837600708008},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.563722550868988},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5003032684326172},{"id":"https://openalex.org/C106937863","wikidata":"https://www.wikidata.org/wiki/Q7236518","display_name":"Power graph analysis","level":3,"score":0.4760296642780304},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.434409499168396},{"id":"https://openalex.org/C22047676","wikidata":"https://www.wikidata.org/wiki/Q898680","display_name":"Clustering coefficient","level":3,"score":0.4266068637371063},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29181107878685}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s41060-023-00452-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41060-023-00452-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41060-023-00452-2.pdf","source":{"id":"https://openalex.org/S4210195017","display_name":"International Journal of Data Science and Analytics","issn_l":"2364-415X","issn":["2364-415X","2364-4168"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Science and Analytics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s41060-023-00452-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41060-023-00452-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41060-023-00452-2.pdf","source":{"id":"https://openalex.org/S4210195017","display_name":"International Journal of Data Science and Analytics","issn_l":"2364-415X","issn":["2364-415X","2364-4168"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Science and Analytics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320329560","display_name":"Universit\u00e4t Osnabr\u00fcck","ror":"https://ror.org/04qmmjx98"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387024325.pdf"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W116902681","https://openalex.org/W1673310716","https://openalex.org/W1823516953","https://openalex.org/W1970754929","https://openalex.org/W2011430131","https://openalex.org/W2021198281","https://openalex.org/W2059515884","https://openalex.org/W2063295648","https://openalex.org/W2067049088","https://openalex.org/W2080731889","https://openalex.org/W2088627138","https://openalex.org/W2098759488","https://openalex.org/W2101491865","https://openalex.org/W2113174871","https://openalex.org/W2144994235","https://openalex.org/W2154002592","https://openalex.org/W2160642098","https://openalex.org/W2163227453","https://openalex.org/W2165558283","https://openalex.org/W2165700458","https://openalex.org/W2166279335","https://openalex.org/W2166681504","https://openalex.org/W2474022715","https://openalex.org/W2550903521","https://openalex.org/W2643391362","https://openalex.org/W2807150694","https://openalex.org/W2965341826","https://openalex.org/W3006351417","https://openalex.org/W3012085194","https://openalex.org/W3080253043","https://openalex.org/W3084183742","https://openalex.org/W3092003850","https://openalex.org/W3104302219","https://openalex.org/W3116239416","https://openalex.org/W3134882343","https://openalex.org/W3135997330","https://openalex.org/W3171145878","https://openalex.org/W3183177628","https://openalex.org/W4206114948","https://openalex.org/W4206445139","https://openalex.org/W4212890525","https://openalex.org/W4213064785","https://openalex.org/W4230715394","https://openalex.org/W4246047487","https://openalex.org/W4254460411","https://openalex.org/W4281929036"],"related_works":["https://openalex.org/W2755787904","https://openalex.org/W2892694839","https://openalex.org/W4376224899","https://openalex.org/W2054462038","https://openalex.org/W4368755543","https://openalex.org/W4377142566","https://openalex.org/W2791749053","https://openalex.org/W3132826944","https://openalex.org/W2001615711","https://openalex.org/W3205845529"],"abstract_inverted_index":{"Abstract":[0],"Graph":[1],"neural":[2],"networks":[3],"(GNNs)":[4],"haven":[5],"proven":[6],"to":[7,23,81,198,262,285],"be":[8,82],"an":[9,75,101],"indispensable":[10],"approach":[11,246],"in":[12,16,50,196,226,241,256,293],"modeling":[13,38],"complex":[14],"data,":[15,20,44],"particular":[17],"spatial":[18,32,117,237,297],"temporal":[19,238,298],"e.g.,":[21],"relating":[22],"sensor":[24],"data":[25,49],"given":[26,94],"as":[27,145,147,149,169,171,251],"time":[28],"series":[29],"with":[30,116],"according":[31,63],"information.":[33],"Although":[34],"GNNs":[35,292],"provide":[36,263],"powerful":[37],"capabilities":[39],"on":[40,152,236,267],"such":[41,72,210],"kind":[42],"of":[43,52,88,104,113,134,224,230,275,296],"they":[45],"require":[46],"adequate":[47],"input":[48],"terms":[51],"both":[53,162],"signal":[54,127],"and":[55,140,158,194],"the":[56,62,86,89,176,222,227,268,278,281,294],"underlying":[57,90],"graph":[58,78,91,143,182,207,214,231,248,288],"structures.":[59],"However,":[60,84,255],"typically":[61,74],"graphs":[64,109],"are":[65,260],"not":[66],"automatically":[67],"available":[68],"or":[69,122],"even":[70],"predefined,":[71],"that":[73,211],"ad":[76],"hoc":[77],"representation":[79],"needs":[80],"constructed.":[83],"often":[85],"construction":[87,232,249,289],"structure":[92],"is":[93,208,216],"insufficient":[95],"attention.":[96],"Therefore,":[97],"this":[98],"paper":[99],"performs":[100],"in-depth":[102],"analysis":[103,258,295],"several":[105],"methods":[106,136],"for":[107,137,156,161,174,180,247,271,283],"constructing":[108],"from":[110],"a":[111,131,200,252,272],"set":[112,133],"sensors":[114],"attributed":[115],"information,":[118],"i.e.,":[119,192],"geographical":[120],"coordinates,":[121],"using":[123],"their":[124],"respective":[125],"attached":[126],"data.":[128,239,299],"We":[129],"apply":[130],"diverse":[132],"standard":[135],"estimating":[138,175],"groups":[139],"similarities":[141],"between":[142,178],"nodes":[144,179],"location-based":[146],"well":[148,170],"signal-driven":[150],"approaches":[151,173],"multiple":[153],"benchmark":[154],"datasets":[155],"evaluation":[157],"assessment.":[159,203],"Here,":[160,218],"areas,":[163],"we":[164,186,259],"specifically":[165],"include":[166],"distance-based,":[167],"clustering-based,":[168],"correlation-based":[172],"relationships":[177],"subsequent":[181],"construction.":[183],"In":[184],"addition,":[185],"consider":[187,287],"two":[188],"different":[189],"GNN":[190],"approaches,":[191],"regression":[193],"forecasting":[195],"order":[197],"enable":[199],"broader":[201],"experimental":[202],"Typically,":[204],"no":[205,244],"predefined":[206],"given,":[209],"(ad":[212],"hoc)":[213],"creation":[215],"necessary.":[217],"our":[219,242,257],"results":[220],"indicate":[221],"criticality":[223],"factoring":[225],"crucial":[228],"step":[229],"into":[233],"GNN-based":[234],"research":[235],"Overall,":[240],"experimentation":[243],"single":[245],"emerged":[250],"clear":[253],"winner.":[254],"able":[261],"specific":[264,273],"indications":[265],"based":[266],"obtained":[269],"results,":[270],"class":[274],"methods.":[276],"Collectively,":[277],"findings":[279],"highlight":[280],"need":[282],"researchers":[284],"carefully":[286],"when":[290],"employing":[291]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":4}],"updated_date":"2026-03-31T07:56:22.981413","created_date":"2025-10-10T00:00:00"}
