{"id":"https://openalex.org/W4312871511","doi":"https://doi.org/10.1109/tits.2022.3224326","title":"Application of Graph Learning With Multivariate Relational Representation Matrix in Vehicular Social Networks","display_name":"Application of Graph Learning With Multivariate Relational Representation Matrix in Vehicular Social Networks","publication_year":2022,"publication_date":"2022-11-29","ids":{"openalex":"https://openalex.org/W4312871511","doi":"https://doi.org/10.1109/tits.2022.3224326"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2022.3224326","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3224326","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","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/A5026853484","display_name":"Liangtian Wan","orcid":"https://orcid.org/0000-0003-0574-8360"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangtian Wan","raw_affiliation_strings":["Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, School of Software, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0003-0574-8360","affiliations":[{"raw_affiliation_string":"Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, School of Software, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040338140","display_name":"Xiaona Li","orcid":"https://orcid.org/0000-0003-4450-1563"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaona Li","raw_affiliation_strings":["Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, School of Software, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0003-4450-1563","affiliations":[{"raw_affiliation_string":"Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, School of Software, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101698033","display_name":"Jin Xu","orcid":"https://orcid.org/0000-0001-5111-1286"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Xu","raw_affiliation_strings":["Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, School of Software, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0001-5111-1286","affiliations":[{"raw_affiliation_string":"Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, School of Software, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067984316","display_name":"Lu Sun","orcid":"https://orcid.org/0000-0001-7779-4484"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Sun","raw_affiliation_strings":["Department of Communication Engineering, Institute of Information Science Technology, Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0001-7779-4484","affiliations":[{"raw_affiliation_string":"Department of Communication Engineering, Institute of Information Science Technology, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101947451","display_name":"Xianpeng Wang","orcid":"https://orcid.org/0000-0002-6681-6489"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianpeng Wang","raw_affiliation_strings":["State Key Laboratory of Marine Resource Utilization in South China Sea, School of Information and Communication Engineering, Hainan University, Haikou, China"],"raw_orcid":"https://orcid.org/0000-0002-6681-6489","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Marine Resource Utilization in South China Sea, School of Information and Communication Engineering, Hainan University, Haikou, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074235004","display_name":"Kaihui Liu","orcid":"https://orcid.org/0000-0001-8885-6767"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaihui Liu","raw_affiliation_strings":["School of Electronic Engineering and Intelligence, Dongguan University of Technology, Dongguan, China"],"raw_orcid":"https://orcid.org/0000-0001-8885-6767","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Intelligence, Dongguan University of Technology, Dongguan, China","institution_ids":["https://openalex.org/I2799850029"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3423,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.80660503,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"24","issue":"3","first_page":"2789","last_page":"2799"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9988999962806702,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.982200026512146,"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":0.740372359752655},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.623475193977356},{"id":"https://openalex.org/keywords/binary-relation","display_name":"Binary relation","score":0.592580258846283},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5480584502220154},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5035588145256042},{"id":"https://openalex.org/keywords/matrix-representation","display_name":"Matrix representation","score":0.4524116516113281},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.44236311316490173},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4386548697948456},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4355214238166809},{"id":"https://openalex.org/keywords/statistical-relational-learning","display_name":"Statistical relational learning","score":0.41945961117744446},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4158444404602051},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4154374599456787},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2873178720474243},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11782842874526978},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.10284548997879028},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.0830787718296051}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.740372359752655},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.623475193977356},{"id":"https://openalex.org/C65180967","wikidata":"https://www.wikidata.org/wiki/Q130901","display_name":"Binary relation","level":2,"score":0.592580258846283},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5480584502220154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5035588145256042},{"id":"https://openalex.org/C103275481","wikidata":"https://www.wikidata.org/wiki/Q6787889","display_name":"Matrix representation","level":3,"score":0.4524116516113281},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.44236311316490173},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4386548697948456},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4355214238166809},{"id":"https://openalex.org/C177877439","wikidata":"https://www.wikidata.org/wiki/Q7604413","display_name":"Statistical relational learning","level":3,"score":0.41945961117744446},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4158444404602051},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4154374599456787},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2873178720474243},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11782842874526978},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.10284548997879028},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.0830787718296051},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2022.3224326","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3224326","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1821756777","display_name":null,"funder_award_id":"3132022230","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2488516488","display_name":null,"funder_award_id":"62101088","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3604279606","display_name":null,"funder_award_id":"2022-MS-157","funder_id":"https://openalex.org/F4320323086","funder_display_name":"Natural Science Foundation of Liaoning Province"},{"id":"https://openalex.org/G4144673559","display_name":null,"funder_award_id":"61801076","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5224451657","display_name":"\u8702\u7fa4\u65e0\u4eba\u673a\u8d85\u5206\u8fa8\u68c0\u6d4b\u524d\u805a\u7126\u7814\u7a76","funder_award_id":"61971336","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6850451987","display_name":null,"funder_award_id":"DUT20JC29","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323086","display_name":"Natural Science Foundation of Liaoning Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W186198759","https://openalex.org/W1501856433","https://openalex.org/W1995906050","https://openalex.org/W2041147580","https://openalex.org/W2062751825","https://openalex.org/W2066204203","https://openalex.org/W2067223115","https://openalex.org/W2088574555","https://openalex.org/W2106879415","https://openalex.org/W2110699703","https://openalex.org/W2111688141","https://openalex.org/W2112090702","https://openalex.org/W2116341502","https://openalex.org/W2135804155","https://openalex.org/W2139906443","https://openalex.org/W2153624566","https://openalex.org/W2157331557","https://openalex.org/W2278186031","https://openalex.org/W2346511873","https://openalex.org/W2587815216","https://openalex.org/W2606914857","https://openalex.org/W2734342162","https://openalex.org/W2764328099","https://openalex.org/W2768646276","https://openalex.org/W2769877777","https://openalex.org/W2781427031","https://openalex.org/W2788284887","https://openalex.org/W2796431263","https://openalex.org/W2798643801","https://openalex.org/W2800163029","https://openalex.org/W2809360363","https://openalex.org/W2810689581","https://openalex.org/W2911628061","https://openalex.org/W2918998808","https://openalex.org/W2951456998","https://openalex.org/W2954562188","https://openalex.org/W2963017945","https://openalex.org/W2977990492","https://openalex.org/W2995900118","https://openalex.org/W3011810108","https://openalex.org/W3105535284","https://openalex.org/W4210958102","https://openalex.org/W4220969141","https://openalex.org/W4225351701","https://openalex.org/W6623517193","https://openalex.org/W6630602879","https://openalex.org/W6637178625","https://openalex.org/W6690815549","https://openalex.org/W6719270105","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6738964360","https://openalex.org/W7015476958"],"related_works":["https://openalex.org/W168012431","https://openalex.org/W2406638334","https://openalex.org/W4285191285","https://openalex.org/W1987457987","https://openalex.org/W4390961098","https://openalex.org/W1991765889","https://openalex.org/W2397288865","https://openalex.org/W1990068454","https://openalex.org/W1983002393","https://openalex.org/W1934837536"],"abstract_inverted_index":{"The":[0,28,86,235],"essence":[1],"of":[2,39,64,76,82,88,109,117,134,143,154,167,197,217],"connection":[3],"in":[4,46,54,90,127,171,200,211,240],"vehicle":[5],"network":[6,66,92,161,233],"is":[7,69],"the":[8,60,65,73,80,91,99,106,113,140,151,155,160,165,168,172,176,194,198,203,209,215,218,224,241,245,250,259],"social":[9,21,152],"relationship":[10],"between":[11],"people,":[12],"and":[13,23,98,174,202,213],"thus":[14],"Vehicular":[15],"Social":[16],"Networks":[17],"(VSNs),":[18],"characterized":[19],"by":[20,31,51,223,249],"aspects":[22],"features,":[24],"can":[25,33,57,186,207],"be":[26,34,187],"formed.":[27],"information":[29,108,210],"collected":[30],"VSNs":[32,77,201,212],"used":[35,188],"for":[36,193],"context":[37,83],"prediction":[38],"autonomous":[40],"vehicles.":[41],"Multivariate":[42],"relations":[43,49,75,124,170,199],"are":[44],"common":[45],"square":[47],"connected":[48],"caused":[50],"geographic":[52],"characteristics":[53],"VSNs.":[55],"They":[56],"effectively":[58],"reflect":[59],"high-order":[61],"structural":[62],"features":[63],"dataset.":[67],"It":[68],"necessary":[70],"to":[71,78,111,121,148,163],"exploit":[72],"multivariate":[74,123,169,225],"improve":[79,214],"performance":[81],"prediction.":[84],"However,":[85],"representation":[87,166],"entity-relationes":[89],"often":[93],"adopts":[94],"a":[95,190,254],"binary":[96],"form,":[97],"existing":[100],"graph":[101,204,220],"learning":[102,141,144,221],"methods":[103],"rely":[104],"on":[105,231],"neighborhood":[107],"nodes":[110],"achieve":[112],"aggregation":[114],"or":[115,130],"diffusion":[116],"information.":[118,227],"Using":[119],"this":[120,157],"represent":[122],"will":[125],"result":[126],"partial":[128],"omissions":[129],"even":[131],"complete":[132],"loss":[133],"valuable":[135],"information,":[136],"which":[137,206],"ultimately":[138],"affects":[139],"effect":[142],"methods.":[145],"In":[146],"order":[147],"better":[149],"understand":[150],"behavior":[153],"VSNs,":[156],"paper":[158],"uses":[159],"motif":[162],"implement":[164],"network,":[173],"proposes":[175],"graPh":[177],"learnIng":[178],"with":[179],"moTif":[180],"mAtrix":[181],"(PITA)":[182],"method.":[183,261],"This":[184],"method":[185,222,247,252],"as":[189],"preprocessing":[191],"step":[192],"measurement":[195],"strategy":[196],"learning,":[205],"mine":[208],"accuracy":[216,257],"original":[219,260],"relation":[226],"We":[228],"performed":[229],"experiments":[230],"6":[232],"datasets.":[234],"experimental":[236],"results":[237],"show":[238],"that":[239],"node":[242],"classification":[243,256],"task,":[244],"baseline":[246],"modified":[248],"PITA":[251],"has":[253],"higher":[255],"than":[258]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}