{"id":"https://openalex.org/W4414956277","doi":"https://doi.org/10.1109/tce.2025.3619118","title":"A Path Recommendation Method Based on the Siamese Graph Convolutional Network for the Holographic Counterpart of Consumer Electronics Logistics of the Internet of Things","display_name":"A Path Recommendation Method Based on the Siamese Graph Convolutional Network for the Holographic Counterpart of Consumer Electronics Logistics of the Internet of Things","publication_year":2025,"publication_date":"2025-10-08","ids":{"openalex":"https://openalex.org/W4414956277","doi":"https://doi.org/10.1109/tce.2025.3619118"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2025.3619118","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3619118","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","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/A5009453137","display_name":"Wei Gan","orcid":"https://orcid.org/0000-0002-4312-421X"},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Gan","raw_affiliation_strings":["School of Transportation and Economic Management, Guangdong Communication Polytechnic, Guangzhou, China","School of Transportation and economic management, Guangdong communication polytechnic, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4312-421X","affiliations":[{"raw_affiliation_string":"School of Transportation and Economic Management, Guangdong Communication Polytechnic, Guangzhou, China","institution_ids":["https://openalex.org/I4210122543"]},{"raw_affiliation_string":"School of Transportation and economic management, Guangdong communication polytechnic, Guangzhou, China","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103185993","display_name":"Bo Huang","orcid":"https://orcid.org/0000-0002-7943-0403"},"institutions":[{"id":"https://openalex.org/I32820368","display_name":"Guangdong Polytechnic of Science and Technology","ror":"https://ror.org/01wq2p249","country_code":"CN","type":"education","lineage":["https://openalex.org/I32820368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Huang","raw_affiliation_strings":["School of Business, Guangdong Polytechnic of Science and Technology, Zhuhai, China","School of Business, Guangdong polytechnic of Science and Technology, Zhuhai, hina"],"raw_orcid":"https://orcid.org/0000-0002-7943-0403","affiliations":[{"raw_affiliation_string":"School of Business, Guangdong Polytechnic of Science and Technology, Zhuhai, China","institution_ids":["https://openalex.org/I32820368"]},{"raw_affiliation_string":"School of Business, Guangdong polytechnic of Science and Technology, Zhuhai, hina","institution_ids":["https://openalex.org/I32820368"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38050338,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"71","issue":"4","first_page":"11633","last_page":"11649"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14042","display_name":"Technology and Security Systems","score":0.8668000102043152,"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"}},"topics":[{"id":"https://openalex.org/T14042","display_name":"Technology and Security Systems","score":0.8668000102043152,"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"}},{"id":"https://openalex.org/T13062","display_name":"Cognitive Computing and Networks","score":0.8363999724388123,"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/T13612","display_name":"Advanced Scientific and Engineering Studies","score":0.7889000177383423,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5956000089645386},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5425999760627747},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4860000014305115},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4562000036239624},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4487999975681305},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.3984000086784363},{"id":"https://openalex.org/keywords/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.38449999690055847},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.3781999945640564}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7594000101089478},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5956000089645386},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5425999760627747},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4860000014305115},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4562000036239624},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4487999975681305},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4219000041484833},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.3984000086784363},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.38449999690055847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3831999897956848},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.3781999945640564},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.3490000069141388},{"id":"https://openalex.org/C2777103469","wikidata":"https://www.wikidata.org/wiki/Q1231558","display_name":"Smart city","level":3,"score":0.3483999967575073},{"id":"https://openalex.org/C138331895","wikidata":"https://www.wikidata.org/wiki/Q11650","display_name":"Electronics","level":2,"score":0.3352999985218048},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.31290000677108765},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3050999939441681},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.302700012922287},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.2985000014305115},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.29589998722076416},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.2856999933719635},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.2838999927043915},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2824999988079071},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.271699994802475},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.2635999917984009},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2621999979019165}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2025.3619118","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3619118","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W3033833229","https://openalex.org/W3165725612","https://openalex.org/W3188522200","https://openalex.org/W3193062375","https://openalex.org/W3197499370","https://openalex.org/W4224306590","https://openalex.org/W4281622066","https://openalex.org/W4285730848","https://openalex.org/W4298124436","https://openalex.org/W4313479624","https://openalex.org/W4317395219","https://openalex.org/W4322627364","https://openalex.org/W4364355697","https://openalex.org/W4365519894","https://openalex.org/W4366308859","https://openalex.org/W4375929162","https://openalex.org/W4376618455","https://openalex.org/W4379053056","https://openalex.org/W4382628891","https://openalex.org/W4385773365","https://openalex.org/W4386811461","https://openalex.org/W4387304047","https://openalex.org/W4387311115","https://openalex.org/W4388593766","https://openalex.org/W4388948875","https://openalex.org/W4389219703","https://openalex.org/W4390748047","https://openalex.org/W4391436390","https://openalex.org/W4391960377","https://openalex.org/W4392207709","https://openalex.org/W4392543879","https://openalex.org/W4393154173","https://openalex.org/W4396520830","https://openalex.org/W4399324926","https://openalex.org/W4400747493","https://openalex.org/W4400849599","https://openalex.org/W4401990940","https://openalex.org/W4402136725","https://openalex.org/W4403094624","https://openalex.org/W4410536112","https://openalex.org/W4412152552"],"related_works":[],"abstract_inverted_index":{"The":[0,78,130],"proliferation":[1],"of":[2,4,36,91,140,145,150,157,210],"Internet":[3],"Things":[5],"(IoT)":[6],"devices":[7],"brings":[8],"unprecedented":[9],"challenges":[10],"and":[11,25,142,147,152,154,159,165,189,206,222],"opportunities":[12],"to":[13,86,105,115],"the":[14,33,48,61,71,92,107,123,134,162,172,176,208,211,216],"consumer":[15],"electronics":[16],"(CE)":[17],"logistics":[18,51,204,228],"industry.":[19],"To":[20],"meet":[21],"its":[22],"highly":[23],"dynamic":[24,39],"predictive":[26],"path":[27,118,128,182,193],"optimization":[28,229],"needs,":[29],"this":[30,75,185],"study":[31,54,186],"introduces":[32],"cutting-edge":[34],"concept":[35],"\"holographic":[37],"counterpart\"\u2014a":[38],"virtual":[40],"replica":[41],"that":[42,133,171],"synchronizes":[43],"in":[44,179,230],"real":[45],"time":[46],"with":[47,112],"physical":[49],"CE":[50,93,212],"network.":[52],"This":[53,196],"proposes":[55],"an":[56],"innovative":[57],"deep":[58],"learning":[59],"framework,":[60],"Cross-domain":[62],"Bilinear":[63],"Attention":[64],"Network-Siamese":[65],"Graph":[66],"Convolutional":[67],"Network":[68,102],"(CDBAN-SGCN),":[69],"as":[70],"intelligent":[72,127,227],"engine":[73],"driving":[74],"holographic":[76],"counterpart.":[77],"framework":[79],"first":[80],"utilizes":[81],"data":[82,97],"mining":[83],"(DM)":[84],"technology":[85],"construct":[87,116],"a":[88,100,113,117,191,220],"graph-structured":[89],"representation":[90],"network":[94],"from":[95],"IoT":[96],"streams.":[98],"Finally,":[99],"Siamese":[101],"is":[103],"utilized":[104],"measure":[106],"similarity":[108],"between":[109],"paths,":[110],"combined":[111],"CDBAN,":[114],"recommendation":[119,194],"model":[120,197,217],"supported":[121],"by":[122],"CDBAN-SGCN":[124,136,173],"algorithm":[125,137,174,178],"for":[126,226],"recommendations.":[129,183],"results":[131,169],"show":[132],"proposed":[135],"achieves":[138],"accuracies":[139],"95.17%":[141],"96.47%,":[143],"precisions":[144],"88.49%":[146],"82.91%,":[148],"recalls":[149],"78.98%":[151],"77.40%,":[153],"F1":[155],"scores":[156],"83.98%":[158],"81.35%":[160],"on":[161],"Amazon":[163],"Fresh":[164],"Alibaba":[166],"datasets.":[167],"These":[168],"indicate":[170],"outperforms":[175],"GCN":[177],"supply":[180,213],"chain":[181],"Therefore,":[184],"successfully":[187],"develops":[188],"verifies":[190],"novel":[192],"model.":[195],"can":[198,218],"effectively":[199],"improve":[200],"transportation":[201],"efficiency,":[202],"reduce":[203],"costs,":[205],"enhance":[207],"resilience":[209],"chain.":[214],"Thus,":[215],"provide":[219],"powerful":[221],"empirically":[223],"tested":[224],"solution":[225],"CE.":[231]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
