{"id":"https://openalex.org/W4411252237","doi":"https://doi.org/10.32604/cmc.2025.066382","title":"DMGNN: A Dual Multi-Relational GNN Model for Enhanced Recommendation","display_name":"DMGNN: A Dual Multi-Relational GNN Model for Enhanced Recommendation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411252237","doi":"https://doi.org/10.32604/cmc.2025.066382"},"language":"en","primary_location":{"id":"doi:10.32604/cmc.2025.066382","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.066382","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials & Continua","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.32604/cmc.2025.066382","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053414139","display_name":"Suo Li","orcid":"https://orcid.org/0000-0002-9742-367X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Siyue Li","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020539022","display_name":"Tian Jin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tian Jin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Erfan Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Erfan Wang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Ranting Tao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ranting Tao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103923205","display_name":"Jiaxin Lu","orcid":"https://orcid.org/0009-0004-4485-9615"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiaxin Lu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5078687454","display_name":"Kai Xi","orcid":"https://orcid.org/0000-0003-0508-7910"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kai Xi","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5053414139"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18577683,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"84","issue":"2","first_page":"2331","last_page":"2353"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9868999719619751,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9868999719619751,"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/T10028","display_name":"Topic Modeling","score":0.9180999994277954,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9054999947547913,"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/dual","display_name":"Dual (grammatical number)","score":0.7508584856987},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42169812321662903},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.08746421337127686}],"concepts":[{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.7508584856987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42169812321662903},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.08746421337127686},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32604/cmc.2025.066382","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.066382","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials & Continua","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32604/cmc.2025.066382","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.066382","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials & Continua","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2604314403","https://openalex.org/W2985331920","https://openalex.org/W3192055963","https://openalex.org/W4200214432","https://openalex.org/W4306830375","https://openalex.org/W4315977496","https://openalex.org/W4385636751","https://openalex.org/W4389774211","https://openalex.org/W4391791496","https://openalex.org/W4391836499","https://openalex.org/W4394935158","https://openalex.org/W4401510933","https://openalex.org/W4404301906","https://openalex.org/W4406553822","https://openalex.org/W4408174526"],"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":{"In":[0],"the":[1,184,242,254,268],"era":[2],"of":[3,6,213,244,256,271],"exponential":[4],"growth":[5],"digital":[7],"information,":[8,248],"recommender":[9,286],"algorithms":[10],"are":[11],"vital":[12],"for":[13,279],"helping":[14],"users":[15],"navigate":[16],"vast":[17],"data":[18,257],"to":[19,84,174,187,215,253],"find":[20],"relevant":[21],"items.":[22],"Traditional":[23],"approaches":[24],"such":[25,128],"as":[26,129],"collaborative":[27],"filtering":[28],"and":[29,70,77,88,131,133,147,192,204,222,259,275,284],"content-based":[30],"methods":[31],"have":[32,50],"limitations":[33],"in":[34,39,45,217,220,224,262],"capturing":[35],"complex,":[36],"multi-faceted":[37],"relationships":[38],"large-scale,":[40],"sparse":[41],"datasets.":[42],"Recent":[43],"advances":[44,267],"Graph":[46,120,137,154],"Neural":[47,155],"Networks":[48],"(GNNs)":[49],"significantly":[51,229],"improved":[52],"recommendation":[53,86,104,231,263],"performance":[54],"by":[55,169,233],"modeling":[56,274],"high-order":[57],"connection":[58],"patterns":[59],"within":[60],"user-item":[61],"interaction":[62],"networks.":[63],"However,":[64],"existing":[65],"GNN-based":[66],"models":[67,124],"like":[68],"LightGCN":[69],"NGCF":[71],"focus":[72],"primarily":[73],"on":[74,107,144,199],"single-type":[75],"interactions":[76],"often":[78],"overlook":[79],"diverse":[80,189],"semantic":[81],"relationships,":[82],"leading":[83],"reduced":[85],"diversity":[87,232],"limited":[89],"generalization.":[90],"To":[91],"address":[92],"these":[93],"challenges,":[94],"this":[95],"paper":[96],"proposes":[97],"a":[98,117,134,250],"dual":[99],"multi-relational":[100,247,272],"graph":[101,115,165,273],"neural":[102],"network":[103],"algorithm":[105],"based":[106,143],"relational":[108,194],"interactions.":[109],"Our":[110,265],"approach":[111],"constructs":[112],"two":[113,159],"complementary":[114],"structures:":[116],"User-Item":[118],"Interaction":[119],"(UIIG),":[121],"which":[122,139],"explicitly":[123],"direct":[125],"user":[126,145],"behaviors":[127],"clicks":[130],"purchases,":[132],"Relational":[135],"Association":[136],"(RAG),":[138],"uncovers":[140],"latent":[141],"associations":[142],"similarities":[146],"item":[148],"attributes.":[149],"The":[150],"proposed":[151],"Dual":[152],"Multi-relational":[153],"Network":[156],"(DMGNN)":[157],"features":[158],"parallel":[160],"branches":[161],"that":[162,206],"perform":[163],"multi-layer":[164],"convolutional":[166],"operations,":[167],"followed":[168],"an":[170],"adaptive":[171],"fusion":[172],"mechanism":[173],"effectively":[175],"integrate":[176],"information":[177],"from":[178],"both":[179],"graphs.":[180],"This":[181],"design":[182],"enhances":[183],"model\u2019s":[185],"capacity":[186],"capture":[188],"relationship":[190],"types":[191],"complex":[193],"patterns.":[195],"Extensive":[196],"experiments":[197],"conducted":[198],"benchmark":[200],"datasets\u2014including":[201],"MovieLens-1M,":[202],"Amazon-Electronics,":[203],"Yelp\u2014demonstrate":[205],"DMGNN":[207,228],"outperforms":[208],"state-of-the-art":[209],"baselines,":[210],"achieving":[211],"improvements":[212],"up":[214],"12.3%":[216],"Precision,":[218],"9.7%":[219],"Recall,":[221],"11.5%":[223],"F1":[225],"score.":[226],"Moreover,":[227],"boosts":[230],"15.2%,":[234],"balancing":[235],"accuracy":[236],"with":[237],"exploration.":[238],"These":[239],"results":[240],"highlight":[241],"effectiveness":[243],"leveraging":[245],"hierarchical":[246],"offering":[249],"promising":[251],"solution":[252],"challenges":[255],"sparsity":[258],"relation":[260],"heterogeneity":[261],"systems.":[264,287],"work":[266],"theoretical":[269],"understanding":[270],"presents":[276],"practical":[277],"insights":[278],"developing":[280],"more":[281],"personalized,":[282],"diverse,":[283],"robust":[285]},"counts_by_year":[],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}