{"id":"https://openalex.org/W4362735233","doi":"https://doi.org/10.1007/s40747-023-01038-y","title":"Construction and analysis of multi-relationship bipartite network model","display_name":"Construction and analysis of multi-relationship bipartite network model","publication_year":2023,"publication_date":"2023-04-10","ids":{"openalex":"https://openalex.org/W4362735233","doi":"https://doi.org/10.1007/s40747-023-01038-y"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-023-01038-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-01038-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01038-y.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01038-y.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083461674","display_name":"Hehe Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hehe Lv","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University, Shanghai, 200444, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University, Shanghai, 200444, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006352222","display_name":"Bofeng Zhang","orcid":"https://orcid.org/0000-0002-5001-1096"},"institutions":[{"id":"https://openalex.org/I135905480","display_name":"Shanghai Polytechnic University","ror":"https://ror.org/02as5yg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I135905480"]},{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bofeng Zhang","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University, Shanghai, 200444, China","School of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai, 201209, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University, Shanghai, 200444, China","institution_ids":["https://openalex.org/I141962983"]},{"raw_affiliation_string":"School of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai, 201209, China","institution_ids":["https://openalex.org/I135905480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100416489","display_name":"Tingting Li","orcid":"https://orcid.org/0000-0002-9448-1655"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Li","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University, Shanghai, 200444, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University, Shanghai, 200444, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000689165","display_name":"Shengxiang Hu","orcid":"https://orcid.org/0000-0002-1510-2478"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengxiang Hu","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University, Shanghai, 200444, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University, Shanghai, 200444, China","institution_ids":["https://openalex.org/I141962983"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5083461674"],"corresponding_institution_ids":["https://openalex.org/I141962983"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":0.7032,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74662682,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"9","issue":"5","first_page":"5851","last_page":"5863"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9965999722480774,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9731000065803528,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.949860692024231},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6370660662651062},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5306165218353271},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5150582790374756},{"id":"https://openalex.org/keywords/network-model","display_name":"Network model","score":0.44212955236434937},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.4384775757789612},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4196033477783203},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33521485328674316}],"concepts":[{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.949860692024231},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6370660662651062},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5306165218353271},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5150582790374756},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.44212955236434937},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.4384775757789612},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4196033477783203},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33521485328674316},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-023-01038-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-01038-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01038-y.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:20f6f20ba9c745418372252cb6c53916","is_oa":true,"landing_page_url":"https://doaj.org/article/20f6f20ba9c745418372252cb6c53916","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":"Complex & Intelligent Systems, Vol 9, Iss 5, Pp 5851-5863 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-023-01038-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-01038-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01038-y.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.5199999809265137}],"awards":[{"id":"https://openalex.org/G7038354427","display_name":null,"funder_award_id":"2017YFC0907505","funder_id":"https://openalex.org/F4320335774","funder_display_name":"Key Technologies Research and Development Program"}],"funders":[{"id":"https://openalex.org/F4320335774","display_name":"Key Technologies Research and Development Program","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4362735233.pdf"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1998898494","https://openalex.org/W2017202214","https://openalex.org/W2054141820","https://openalex.org/W2100235918","https://openalex.org/W2136922672","https://openalex.org/W2170033768","https://openalex.org/W2337446942","https://openalex.org/W2504461544","https://openalex.org/W2531147518","https://openalex.org/W2605350416","https://openalex.org/W2740920897","https://openalex.org/W2783666221","https://openalex.org/W2799012401","https://openalex.org/W2803159672","https://openalex.org/W2807827186","https://openalex.org/W2884585870","https://openalex.org/W2888787571","https://openalex.org/W2903749028","https://openalex.org/W2911286998","https://openalex.org/W2914721378","https://openalex.org/W2953461625","https://openalex.org/W2955058313","https://openalex.org/W2975356217","https://openalex.org/W2998336138","https://openalex.org/W3002451394","https://openalex.org/W3005261876","https://openalex.org/W3019535438","https://openalex.org/W3021338900","https://openalex.org/W3040963377","https://openalex.org/W3044920383","https://openalex.org/W3097904695","https://openalex.org/W3106181667","https://openalex.org/W3118828765","https://openalex.org/W3137088607","https://openalex.org/W3149825980","https://openalex.org/W3153874679","https://openalex.org/W3175450343","https://openalex.org/W3177890934","https://openalex.org/W3207257408","https://openalex.org/W4200161340","https://openalex.org/W4212931205","https://openalex.org/W4213063565","https://openalex.org/W4221150255","https://openalex.org/W4224986286","https://openalex.org/W4399852383"],"related_works":["https://openalex.org/W1982442837","https://openalex.org/W3088754131","https://openalex.org/W2366032664","https://openalex.org/W2372258656","https://openalex.org/W2007654590","https://openalex.org/W3102058415","https://openalex.org/W2909842655","https://openalex.org/W2950946391","https://openalex.org/W2357702059","https://openalex.org/W2371887819"],"abstract_inverted_index":{"Abstract":[0],"Bipartite":[1],"networks":[2],"that":[3,108,179,195],"characterize":[4],"complex":[5],"relationships":[6,33,53,98,110,129],"among":[7],"data":[8],"arise":[9],"in":[10,34],"various":[11],"domains.":[12],"The":[13],"existing":[14,200],"bipartite":[15,45,63,74,91,165],"network":[16,46,64,75,83,92],"models":[17],"are":[18],"mainly":[19],"based":[20],"on":[21,140,171],"a":[22,43,89,119,158],"type":[23],"of":[24,57,102,127,136,151,187],"relationship":[25],"between":[26,54,99],"objects,":[27,58],"and":[28,59,82,124,156,175],"cannot":[29],"effectively":[30,183],"describe":[31,51,96],"multiple":[32,52,97,128],"the":[35,105,115,125,134,141,144,148,176,185,188],"real":[36],"world.":[37],"In":[38,87,104,190],"this":[39],"paper,":[40],"we":[41,117],"propose":[42],"multi-relationship":[44,73,78,90,154,180],"(MBN)":[47],"model,":[48,116],"which":[49],"can":[50,146,182,198],"two":[55,100],"types":[56,101],"realizes":[60],"simple":[61],"weighted":[62,164],"reconstruction.":[65],"Our":[66],"model":[67,197],"contains":[68],"three":[69,172],"major":[70],"modules,":[71],"namely":[72],"modeling":[76],"(MBNM),":[77],"aggregation":[79,126,181],"module":[80,85],"(MAM)":[81],"reconstruction":[84],"(NRM).":[86],"MBNM,":[88],"is":[93,130],"proposed":[94],"to":[95,162],"objects.":[103],"MAM,":[106],"considering":[107],"different":[109,112],"have":[111],"information":[113],"for":[114],"introduce":[118],"novel":[120],"relationship-level":[121],"attention":[122],"mechanism,":[123],"carried":[131],"out":[132],"through":[133],"importance":[135],"each":[137],"relationship.":[138],"Based":[139],"learning":[142],"framework,":[143],"NRM":[145],"learn":[147],"potential":[149],"representations":[150],"nodes":[152],"after":[153],"aggregation,":[155],"design":[157],"nonlinear":[159],"fusion":[160],"mechanism":[161],"reconstruct":[163],"network.":[166],"We":[167],"conducted":[168],"extensive":[169],"experiments":[170,192],"real-world":[173],"datasets":[174],"results":[177],"show":[178,194],"improve":[184],"performance":[186],"model.":[189],"addition,":[191],"also":[193],"our":[196],"outperform":[199],"competitive":[201],"baseline":[202],"method.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
