{"id":"https://openalex.org/W4409131834","doi":"https://doi.org/10.1109/hpec62836.2024.10938516","title":"Elucidating US Import Supply Chain Dynamics: A Spatial-Temporal Graph Neural Network Approach","display_name":"Elucidating US Import Supply Chain Dynamics: A Spatial-Temporal Graph Neural Network Approach","publication_year":2024,"publication_date":"2024-09-23","ids":{"openalex":"https://openalex.org/W4409131834","doi":"https://doi.org/10.1109/hpec62836.2024.10938516"},"language":"en","primary_location":{"id":"doi:10.1109/hpec62836.2024.10938516","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec62836.2024.10938516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE High Performance Extreme Computing Conference (HPEC)","raw_type":"proceedings-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/A5115491740","display_name":"Nikolay Aristov","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nikolay Aristov","raw_affiliation_strings":["Center for Transportation and Logistics, Massachusetts Institute of Technology,Cambridge,MA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Transportation and Logistics, Massachusetts Institute of Technology,Cambridge,MA,USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100605489","display_name":"Ziyan Li","orcid":"https://orcid.org/0000-0002-0114-4968"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ziyan Li","raw_affiliation_strings":["Center for Transportation and Logistics, Massachusetts Institute of Technology,Cambridge,MA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Transportation and Logistics, Massachusetts Institute of Technology,Cambridge,MA,USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017586625","display_name":"Thomas Koch","orcid":"https://orcid.org/0000-0003-2858-7010"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas Koch","raw_affiliation_strings":["Center for Transportation and Logistics, Massachusetts Institute of Technology,Cambridge,MA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Transportation and Logistics, Massachusetts Institute of Technology,Cambridge,MA,USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050654045","display_name":"Elenna Dugundji","orcid":"https://orcid.org/0000-0001-9277-9485"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elenna R. Dugundji","raw_affiliation_strings":["Center for Transportation and Logistics, Massachusetts Institute of Technology,Cambridge,MA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Transportation and Logistics, Massachusetts Institute of Technology,Cambridge,MA,USA","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":1.4364,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.86525987,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10128","display_name":"Global trade and economics","score":0.6676999926567078,"subfield":{"id":"https://openalex.org/subfields/2000","display_name":"General Economics, Econometrics and Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10128","display_name":"Global trade and economics","score":0.6676999926567078,"subfield":{"id":"https://openalex.org/subfields/2000","display_name":"General Economics, Econometrics and Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14143","display_name":"Economic and Technological Innovation","score":0.6542999744415283,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6795604825019836},{"id":"https://openalex.org/keywords/supply-chain","display_name":"Supply chain","score":0.5121235847473145},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42076045274734497},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33299845457077026},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.08724534511566162}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6795604825019836},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.5121235847473145},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42076045274734497},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33299845457077026},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.08724534511566162},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpec62836.2024.10938516","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec62836.2024.10938516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE High Performance Extreme Computing Conference (HPEC)","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":10,"referenced_works":["https://openalex.org/W1930624869","https://openalex.org/W2064675550","https://openalex.org/W2150593711","https://openalex.org/W2295598076","https://openalex.org/W2964482263","https://openalex.org/W3012562343","https://openalex.org/W3158304688","https://openalex.org/W4288051329","https://openalex.org/W4318945054","https://openalex.org/W6767707592"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"To":[0],"enhance":[1],"the":[2,13,18,33,37,96,105,127],"understanding":[3],"of":[4,36,99],"congestion":[5,69],"points":[6],"at":[7],"ports":[8,25,31],"and":[9,26,82,102,135],"provide":[10],"visibility":[11],"into":[12,116],"incoming":[14],"container":[15,100],"ships":[16,101],"in":[17,126,138],"USA,":[19],"this":[20,93],"study":[21,120],"focuses":[22],"on":[23],"maritime":[24,139],"corresponding":[27],"terminals,":[28,111],"using":[29],"several":[30,67],"along":[32],"East":[34],"Coast":[35],"United":[38],"States":[39],"as":[40,73],"case":[41],"studies.":[42],"We":[43],"analyzed":[44],"Automatic":[45],"Identification":[46],"System":[47],"(AIS)":[48],"data":[49],"from":[50],"January":[51],"2015":[52],"to":[53,65,124,132],"September":[54],"2023,":[55],"deriving":[56],"comprehensive":[57],"his-torical":[58],"berthing":[59],"data.":[60],"This":[61,119],"analysis":[62],"enabled":[63],"us":[64],"build":[66],"port":[68],"prediction":[70],"models,":[71],"such":[72],"Extreme":[74],"Gradient":[75],"Boosting":[76],"(XGBoost),":[77],"Long":[78],"Short-Term":[79],"Memory":[80],"(LSTM),":[81],"a":[83],"more":[84],"sophisticated":[85],"Spatial-Temporal":[86],"Graph":[87],"Neural":[88],"Network":[89],"(ST-GNN)":[90],"model.":[91],"Additionally,":[92],"research":[94],"traced":[95],"historical":[97],"routes":[98],"accurately":[103],"mapped":[104],"sectors":[106],"where":[107],"ships'":[108],"berth":[109],"within":[110],"thereby":[112],"providing":[113],"deeper":[114],"insights":[115],"ship":[117],"scheduling.":[118],"offers":[121],"considerable":[122],"value":[123],"stakeholders":[125],"supply":[128],"chain":[129],"industry,":[130],"contributing":[131],"both":[133],"theoretical":[134],"practical":[136],"applications":[137],"logistics.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}