{"id":"https://openalex.org/W4407123666","doi":"https://doi.org/10.1007/s41109-025-00751-6","title":"Generic multimodal spatially graph network for spatially embedded network representation learning","display_name":"Generic multimodal spatially graph network for spatially embedded network representation learning","publication_year":2025,"publication_date":"2025-11-21","ids":{"openalex":"https://openalex.org/W4407123666","doi":"https://doi.org/10.1007/s41109-025-00751-6"},"language":"en","primary_location":{"id":"doi:10.1007/s41109-025-00751-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41109-025-00751-6","pdf_url":"https://appliednetsci.springeropen.com/counter/pdf/10.1007/s41109-025-00751-6","source":{"id":"https://openalex.org/S3035517252","display_name":"Applied Network Science","issn_l":"2364-8228","issn":["2364-8228"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Network Science","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://appliednetsci.springeropen.com/counter/pdf/10.1007/s41109-025-00751-6","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015457978","display_name":"Xudong Fan","orcid":"https://orcid.org/0000-0002-8924-0179"},"institutions":[{"id":"https://openalex.org/I115441956","display_name":"Buffalo State University","ror":"https://ror.org/05ms04m92","country_code":"US","type":"education","lineage":["https://openalex.org/I115441956"]},{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xudong Fan","raw_affiliation_strings":["Department of Civil, Structural and Environmental Engineering, SUNY at Buffalo, 212 Ketter Hall, Buffalo, NY, 14260, USA"],"affiliations":[{"raw_affiliation_string":"Department of Civil, Structural and Environmental Engineering, SUNY at Buffalo, 212 Ketter Hall, Buffalo, NY, 14260, USA","institution_ids":["https://openalex.org/I63190737","https://openalex.org/I115441956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090774553","display_name":"J\u00fcrgen Hackl","orcid":"https://orcid.org/0000-0002-8849-5751"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J\u00fcrgen Hackl","raw_affiliation_strings":["Complex Infrastructure Systems Group, Princeton University, 54 Olden Street, Princeton, NJ, 08544, USA"],"affiliations":[{"raw_affiliation_string":"Complex Infrastructure Systems Group, Princeton University, 54 Olden Street, Princeton, NJ, 08544, USA","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015457978"],"corresponding_institution_ids":["https://openalex.org/I115441956","https://openalex.org/I63190737"],"apc_list":{"value":790,"currency":"GBP","value_usd":969},"apc_paid":{"value":790,"currency":"GBP","value_usd":969},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00750205,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9926999807357788,"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":0.9926999807357788,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9478999972343445,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6721692681312561},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5473589301109314},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5346981883049011},{"id":"https://openalex.org/keywords/learning-network","display_name":"Learning network","score":0.48458874225616455},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4842483699321747},{"id":"https://openalex.org/keywords/spatial-network","display_name":"Spatial network","score":0.47224634885787964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4367560148239136},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4272482991218567},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20102274417877197},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.0766649842262268}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6721692681312561},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5473589301109314},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5346981883049011},{"id":"https://openalex.org/C2987015589","wikidata":"https://www.wikidata.org/wiki/Q1040098","display_name":"Learning network","level":2,"score":0.48458874225616455},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4842483699321747},{"id":"https://openalex.org/C53471067","wikidata":"https://www.wikidata.org/wiki/Q7574076","display_name":"Spatial network","level":2,"score":0.47224634885787964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4367560148239136},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4272482991218567},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20102274417877197},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0766649842262268},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1007/s41109-025-00751-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41109-025-00751-6","pdf_url":"https://appliednetsci.springeropen.com/counter/pdf/10.1007/s41109-025-00751-6","source":{"id":"https://openalex.org/S3035517252","display_name":"Applied Network Science","issn_l":"2364-8228","issn":["2364-8228"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Network Science","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2502.00530","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2502.00530","pdf_url":"https://arxiv.org/pdf/2502.00530","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"raw_type":"text"},{"id":"pmh:oai:doaj.org/article:efa2e8d6c3e34fb7b3b457a3708f42b7","is_oa":true,"landing_page_url":"https://doaj.org/article/efa2e8d6c3e34fb7b3b457a3708f42b7","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Network Science, Vol 10, Iss 1, Pp 1-21 (2025)","raw_type":"article"},{"id":"doi:10.48550/arxiv.2502.00530","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2502.00530","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"doi:10.5281/zenodo.14798993","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.14798993","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"},{"id":"doi:10.5281/zenodo.14798994","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.14798994","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.1007/s41109-025-00751-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41109-025-00751-6","pdf_url":"https://appliednetsci.springeropen.com/counter/pdf/10.1007/s41109-025-00751-6","source":{"id":"https://openalex.org/S3035517252","display_name":"Applied Network Science","issn_l":"2364-8228","issn":["2364-8228"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Network Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309292","display_name":"Princeton University","ror":"https://ror.org/00hx57361"},{"id":"https://openalex.org/F4320334397","display_name":"Andlinger Center for Energy and the Environment, Princeton University","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4407123666.pdf","grobid_xml":"https://content.openalex.org/works/W4407123666.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W2772279521","https://openalex.org/W3210458411","https://openalex.org/W2106180925","https://openalex.org/W4391129932","https://openalex.org/W2499446776","https://openalex.org/W2954395782","https://openalex.org/W2072004388","https://openalex.org/W3109493217","https://openalex.org/W1975428390","https://openalex.org/W2254751494","https://openalex.org/W4392341401","https://openalex.org/W2975613451","https://openalex.org/W4389777865","https://openalex.org/W3217547019","https://openalex.org/W4399856583","https://openalex.org/W2093286150","https://openalex.org/W2998926617","https://openalex.org/W3210892971","https://openalex.org/W2963847595","https://openalex.org/W2962756421","https://openalex.org/W3131107316","https://openalex.org/W2888569304","https://openalex.org/W3176839087","https://openalex.org/W3123909522","https://openalex.org/W4392203343","https://openalex.org/W1967444754","https://openalex.org/W2964015378","https://openalex.org/W2584626698","https://openalex.org/W4393187078","https://openalex.org/W4403140682","https://openalex.org/W2696572706","https://openalex.org/W2592230399","https://openalex.org/W4206253507","https://openalex.org/W2154851992","https://openalex.org/W3092248103","https://openalex.org/W2767290858","https://openalex.org/W3034021666","https://openalex.org/W4406768789","https://openalex.org/W2053186076","https://openalex.org/W2962802217","https://openalex.org/W4388449829","https://openalex.org/W4409349694","https://openalex.org/W4297733535","https://openalex.org/W2393319904","https://openalex.org/W3217727442","https://openalex.org/W4391768480","https://openalex.org/W3130682357","https://openalex.org/W3094253649","https://openalex.org/W4405821279","https://openalex.org/W4402332810","https://openalex.org/W4406059659","https://openalex.org/W4288738995","https://openalex.org/W3152893301"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W2795079307","https://openalex.org/W2793058541","https://openalex.org/W1983629434","https://openalex.org/W2055929693","https://openalex.org/W4324271173","https://openalex.org/W1967645776","https://openalex.org/W2990436499","https://openalex.org/W4317464250","https://openalex.org/W3202668459"],"abstract_inverted_index":{"Spatially":[0,64],"embedded":[1,18,32,76,199],"networks":[2,26,138],"(SENs)":[3],"represent":[4],"a":[5,51,61,104,109,132,170,181],"special":[6],"type":[7],"of":[8,24,35,43,74,137,160,191],"complex":[9],"graph,":[10],"whose":[11],"topologies":[12],"are":[13,139],"constrained":[14,141],"by":[15,30,142,166],"the":[16,31,44,83,87,101,123,128,143,154,161,176,189,193],"networks\u2019":[17],"spatial":[19,33,144,195],"environments.":[20],"The":[21,78,119],"graph":[22,45,48],"representation":[23,42,73],"such":[25],"is":[27,50,69],"thereby":[28],"influenced":[29],"features":[34,49],"both":[36],"nodes":[37],"and":[38,47,94,108,146],"edges.":[39],"Accurate":[40],"network":[41,106,111,121,130,183,200],"structure":[46],"fundamental":[52],"task":[53,165],"for":[54,71,197],"various":[55],"graph-related":[56],"tasks.":[57],"In":[58,97],"this":[59],"study,":[60],"Generic":[62],"Multimodal":[63],"Graph":[65],"Convolutional":[66],"Network":[67],"(GMu-SGCN)":[68],"developed":[70,79,102,125,155],"efficient":[72],"spatially":[75,198],"networks.":[77],"GMu-SGCN":[80,156],"model":[81,172,187],"has":[82],"ability":[84],"to":[85,99,169],"learn":[86],"node":[88,93],"connection":[89],"pattern":[90],"via":[91],"multimodal":[92],"edge":[95,162],"features.":[96],"order":[98],"evaluate":[100],"model,":[103],"river":[105,120],"dataset":[107,112],"power":[110,129,182],"have":[113],"been":[114],"used":[115],"as":[116],"test":[117,184],"beds.":[118],"represents":[122,131],"naturally":[124],"SENs,":[126],"whereas":[127],"man-made":[133],"network.":[134],"Both":[135],"types":[136],"heavily":[140],"environments":[145],"uncertainties":[147],"from":[148],"nature.":[149],"Comprehensive":[150],"evaluation":[151],"analysis":[152],"shows":[153],"can":[157],"improve":[158],"accuracy":[159],"existence":[163],"prediction":[164],"37.1%":[167],"compared":[168],"GraphSAGE":[171],"which":[173],"only":[174],"considers":[175],"node\u2019s":[177],"position":[178],"feature":[179,196],"in":[180],"bed.":[185],"Our":[186],"demonstrates":[188],"importance":[190],"considering":[192],"multidimensional":[194],"representation.":[201]},"counts_by_year":[],"updated_date":"2026-04-04T08:04:53.788161","created_date":"2025-02-05T00:00:00"}