{"id":"https://openalex.org/W4406458858","doi":"https://doi.org/10.1109/bigdata62323.2024.10825929","title":"KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion","display_name":"KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406458858","doi":"https://doi.org/10.1109/bigdata62323.2024.10825929"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825929","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825929","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5066918647","display_name":"D. Jeon","orcid":"https://orcid.org/0000-0001-6482-5878"},"institutions":[{"id":"https://openalex.org/I157417397","display_name":"Bowling Green State University","ror":"https://ror.org/00ay7va13","country_code":"US","type":"education","lineage":["https://openalex.org/I157417397"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dong Hyun Jeon","raw_affiliation_strings":["Bowling Green State University,Department of Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bowling Green State University,Department of Computer Science","institution_ids":["https://openalex.org/I157417397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102845032","display_name":"Wenbo Sun","orcid":"https://orcid.org/0000-0002-3811-5853"},"institutions":[{"id":"https://openalex.org/I1311636904","display_name":"Michigan Department of Transportation","ror":"https://ror.org/01kae7563","country_code":"US","type":"government","lineage":["https://openalex.org/I1311636904"]},{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenbo Sun","raw_affiliation_strings":["University of Michigan,Transportation Research Institute,Ann Arbor"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan,Transportation Research Institute,Ann Arbor","institution_ids":["https://openalex.org/I1311636904","https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079301418","display_name":"Houbing Song","orcid":"https://orcid.org/0000-0003-2631-9223"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Houbing Herbert Song","raw_affiliation_strings":["University of Maryland,Department of Information Systems,Baltimore County"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland,Department of Information Systems,Baltimore County","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101979289","display_name":"Dongfang Liu","orcid":"https://orcid.org/0000-0001-6995-4775"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dongfang Liu","raw_affiliation_strings":["Rochester Institute of Technology,Department of Computer Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology,Department of Computer Engineering","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115829665","display_name":"Velasquez Alvaro","orcid":null},"institutions":[{"id":"https://openalex.org/I189774192","display_name":"Colorado College","ror":"https://ror.org/03tg3h819","country_code":"US","type":"education","lineage":["https://openalex.org/I189774192"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Velasquez Alvaro","raw_affiliation_strings":["University of Colorado,College of Engineering &#x0026; Applied Science,Boulder"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Colorado,College of Engineering &#x0026; Applied Science,Boulder","institution_ids":["https://openalex.org/I189774192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078483111","display_name":"Yu Xie","orcid":"https://orcid.org/0000-0002-8926-7021"},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yixin Chloe Xie","raw_affiliation_strings":["Kennesaw State University,Department of Information Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kennesaw State University,Department of Information Technology","institution_ids":["https://openalex.org/I172980758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028748926","display_name":"Shuteng Niu","orcid":"https://orcid.org/0000-0002-1069-9236"},"institutions":[{"id":"https://openalex.org/I157417397","display_name":"Bowling Green State University","ror":"https://ror.org/00ay7va13","country_code":"US","type":"education","lineage":["https://openalex.org/I157417397"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuteng Niu","raw_affiliation_strings":["Bowling Green State University,Department of Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bowling Green State University,Department of Computer Science","institution_ids":["https://openalex.org/I157417397"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6021","last_page":"6030"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994999766349792,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/relation","display_name":"Relation (database)","score":0.7347258925437927},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7031784057617188},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43932825326919556},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.251027375459671},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2207026183605194}],"concepts":[{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.7347258925437927},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7031784057617188},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43932825326919556},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.251027375459671},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2207026183605194}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825929","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825929","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309201","display_name":"Bowling Green State University","ror":"https://ror.org/00ay7va13"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2002834872","https://openalex.org/W2127795553","https://openalex.org/W2140310134","https://openalex.org/W2155106456","https://openalex.org/W2184957013","https://openalex.org/W2250342289","https://openalex.org/W2283196293","https://openalex.org/W2492959872","https://openalex.org/W2512965516","https://openalex.org/W2624407581","https://openalex.org/W2792839191","https://openalex.org/W2912664727","https://openalex.org/W2945623882","https://openalex.org/W2945827670","https://openalex.org/W2950275995","https://openalex.org/W2963323306","https://openalex.org/W2963911286","https://openalex.org/W2964015378","https://openalex.org/W2966483207","https://openalex.org/W2998496395","https://openalex.org/W3034364571","https://openalex.org/W3065542300","https://openalex.org/W3098087397","https://openalex.org/W3100260481","https://openalex.org/W3100278010","https://openalex.org/W3129482887","https://openalex.org/W3153468025","https://openalex.org/W3155919942","https://openalex.org/W3174770825","https://openalex.org/W3205731400","https://openalex.org/W4212835176","https://openalex.org/W4212890525","https://openalex.org/W4224952158","https://openalex.org/W4225412853","https://openalex.org/W4285247752","https://openalex.org/W4294558607","https://openalex.org/W4297733535","https://openalex.org/W4297971002","https://openalex.org/W4379744065","https://openalex.org/W4383604692","https://openalex.org/W4391262214","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6678830454","https://openalex.org/W6680830989","https://openalex.org/W6726873649","https://openalex.org/W6738964360","https://openalex.org/W6745537798"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4234874385","https://openalex.org/W2390279801","https://openalex.org/W2323648130","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2157140558"],"abstract_inverted_index":{"While":[0],"deep-learning-enabled":[1],"recommender":[2],"systems":[3],"demonstrate":[4],"strong":[5],"performance":[6],"benchmarks,":[7],"many":[8],"struggle":[9],"to":[10,17,35,106,129,193],"adapt":[11],"effectively":[12],"in":[13,27,82],"real-world":[14],"environments":[15],"due":[16],"limited":[18],"use":[19],"of":[20,173],"user-item":[21,61,144],"relationship":[22],"data":[23,81],"and":[24,40,79,109,146,155,190,203],"insufficient":[25],"transparency":[26],"recommendation":[28],"generation.":[29],"Traditional":[30],"collaborative":[31],"filtering":[32],"approaches":[33],"fail":[34],"integrate":[36],"multifaceted":[37],"item":[38],"attributes,":[39],"although":[41],"Factorization":[42],"Machines":[43],"account":[44],"for":[45,180,186,205],"item-specific":[46],"details,":[47],"they":[48],"overlook":[49],"broader":[50],"relational":[51,88],"patterns.":[52,170],"Collaborative":[53],"knowledge":[54,135,164,188],"graph-based":[55],"models":[56,75],"have":[57],"progressed":[58],"by":[59],"embedding":[60],"interactions":[62,145],"with":[63,98],"item-attribute":[64,147],"relationships,":[65,148],"offering":[66],"a":[67,102,114,150],"holistic":[68],"perspective":[69],"on":[70],"interconnected":[71],"entities.":[72],"However,":[73],"these":[74],"frequently":[76],"aggregate":[77],"attribute":[78],"interaction":[80,169],"an":[83,177],"implicit":[84],"manner,":[85],"leaving":[86],"valuable":[87],"nuances":[89],"underutilized.This":[90],"study":[91,207],"introduces":[92],"the":[93,141,191],"Knowledge":[94],"Graph":[95],"Attention":[96],"Network":[97],"Information":[99],"Fusion":[100],"(KGIF),":[101],"specialized":[103],"framework":[104,120],"designed":[105],"merge":[107],"entity":[108],"relation":[110],"embeddings":[111,128],"explicitly":[112],"through":[113,197],"tailored":[115],"self-attention":[116],"mechanism.":[117],"The":[118,171,201],"KGIF":[119],"integrates":[121],"reparameterization":[122],"via":[123],"dynamic":[124],"projection":[125],"vectors,":[126],"enabling":[127],"adaptively":[130],"represent":[131],"intricate":[132],"relationships":[133],"within":[134],"graphs.":[136],"This":[137],"explicit":[138,181],"fusion":[139],"enhances":[140],"interplay":[142],"between":[143,153],"providing":[149],"nuanced":[151],"balance":[152],"user-centric":[154],"item-centric":[156],"representations.":[157],"An":[158],"attentive":[159],"propagation":[160],"mechanism":[161],"further":[162],"optimizes":[163],"graph":[165],"embeddings,":[166],"capturing":[167],"multi-layered":[168],"contributions":[172],"this":[174,206],"work":[175],"include":[176],"innovative":[178],"method":[179],"information":[182],"fusion,":[183],"improved":[184],"robustness":[185],"sparse":[187],"graphs,":[189],"ability":[192],"generate":[194],"explainable":[195],"recommendations":[196],"interpretable":[198],"path":[199],"visualization.":[200],"implementation":[202],"datasets":[204],"are":[208],"publicly":[209],"available1.":[210]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
