{"id":"https://openalex.org/W4414270320","doi":"https://doi.org/10.1109/tkde.2025.3611270","title":"GDiffMAE: Guided Diffusion Enhanced Mask Graph AutoEncoder for Recommendation","display_name":"GDiffMAE: Guided Diffusion Enhanced Mask Graph AutoEncoder for Recommendation","publication_year":2025,"publication_date":"2025-09-17","ids":{"openalex":"https://openalex.org/W4414270320","doi":"https://doi.org/10.1109/tkde.2025.3611270"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2025.3611270","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3611270","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","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/A5080798381","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-6447-2053"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]},{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["State Key Laboratory of Opto-Electronic Information Acquisition and Protection Technology, School of Computer Science and Technology, Anhui University, Hefei, China","Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, China"],"raw_orcid":"https://orcid.org/0000-0002-6447-2053","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Opto-Electronic Information Acquisition and Protection Technology, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I16365422","https://openalex.org/I126520041"]},{"raw_affiliation_string":"Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115599238","display_name":"Z. J. Chen","orcid":"https://orcid.org/0009-0007-3437-8406"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]},{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihao Chen","raw_affiliation_strings":["State Key Laboratory of Opto-Electronic Information Acquisition and Protection Technology, School of Computer Science and Technology, Anhui University, Hefei, China","Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, China"],"raw_orcid":"https://orcid.org/0009-0007-3437-8406","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Opto-Electronic Information Acquisition and Protection Technology, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I16365422","https://openalex.org/I126520041"]},{"raw_affiliation_string":"Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103191469","display_name":"Wuji Zhang","orcid":"https://orcid.org/0009-0007-2657-7720"},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wuji Zhang","raw_affiliation_strings":["Kuaishou Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kuaishou Technology, Beijing, China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017692278","display_name":"Hongke Zhao","orcid":"https://orcid.org/0000-0003-3099-4803"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongke Zhao","raw_affiliation_strings":["College of Management and Economics, Laboratory of Computation and Analytics of Complex Management Systems (CACMS), Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-3099-4803","affiliations":[{"raw_affiliation_string":"College of Management and Economics, Laboratory of Computation and Analytics of Complex Management Systems (CACMS), Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052639977","display_name":"Likang Wu","orcid":"https://orcid.org/0000-0002-4929-8587"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Likang Wu","raw_affiliation_strings":["College of Management and Economics, Laboratory of Computation and Analytics of Complex Management Systems (CACMS), Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-4929-8587","affiliations":[{"raw_affiliation_string":"College of Management and Economics, Laboratory of Computation and Analytics of Complex Management Systems (CACMS), Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"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":0.33906217,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"37","issue":"12","first_page":"7199","last_page":"7212"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9696999788284302,"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":0.9696999788284302,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9075999855995178,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7570000290870667},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6301000118255615},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5577999949455261},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5385000109672546},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5044999718666077},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4968000054359436},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.40220001339912415},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.37790000438690186}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8553000092506409},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7570000290870667},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6301000118255615},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5577999949455261},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5385000109672546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5274999737739563},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5044999718666077},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4968000054359436},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4645000100135803},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.40220001339912415},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.37790000438690186},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.3571000099182129},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.34790000319480896},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.34040001034736633},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.33250001072883606},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3294000029563904},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30000001192092896},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.2928999960422516},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2913999855518341},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.29089999198913574},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.2815999984741211},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.25540000200271606}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2025.3611270","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3611270","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4700137230","display_name":null,"funder_award_id":"62502340","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6658230062","display_name":null,"funder_award_id":"61976001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6660761918","display_name":null,"funder_award_id":"2408085MF152","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"},{"id":"https://openalex.org/G7688259989","display_name":null,"funder_award_id":"72471165","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8249635667","display_name":null,"funder_award_id":"24JCQNJC01560","funder_id":"https://openalex.org/F4320323993","funder_display_name":"Natural Science Foundation of Tianjin City"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323993","display_name":"Natural Science Foundation of Tianjin City","ror":null},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W2100235918","https://openalex.org/W2140310134","https://openalex.org/W2565948352","https://openalex.org/W2605350416","https://openalex.org/W2945827670","https://openalex.org/W2963341956","https://openalex.org/W2963601856","https://openalex.org/W2998431760","https://openalex.org/W3033630125","https://openalex.org/W3035725276","https://openalex.org/W3045200674","https://openalex.org/W3094127838","https://openalex.org/W3094605801","https://openalex.org/W3114652457","https://openalex.org/W3117298090","https://openalex.org/W3154113024","https://openalex.org/W3211143493","https://openalex.org/W4220909642","https://openalex.org/W4283702870","https://openalex.org/W4284666445","https://openalex.org/W4290876361","https://openalex.org/W4293363567","https://openalex.org/W4304013653","https://openalex.org/W4313156423","https://openalex.org/W4327525152","https://openalex.org/W4367047461","https://openalex.org/W4379382506","https://openalex.org/W4379539462","https://openalex.org/W4381786098","https://openalex.org/W4384644330","https://openalex.org/W4384644538","https://openalex.org/W4384652641","https://openalex.org/W4385567478","https://openalex.org/W4385567536","https://openalex.org/W4386043468","https://openalex.org/W4387846486","https://openalex.org/W4390412407","https://openalex.org/W4391376193","https://openalex.org/W4393147534","https://openalex.org/W4396735366","https://openalex.org/W4399205950","https://openalex.org/W4399911398","https://openalex.org/W4400525769","https://openalex.org/W4400526446","https://openalex.org/W4400527101","https://openalex.org/W4400528644","https://openalex.org/W4400532459","https://openalex.org/W4400880042","https://openalex.org/W4401863330","https://openalex.org/W4401863879","https://openalex.org/W4403221739","https://openalex.org/W4409657476"],"related_works":[],"abstract_inverted_index":{"Despite":[0],"advancements":[1],"using":[2],"graph":[3,40,119,140],"neural":[4],"networks":[5],"(GNNs)":[6],"to":[7,15,35,38,64,100,121],"capture":[8],"complex":[9,44],"user-item":[10],"interactions,":[11],"challenges":[12],"persist":[13],"due":[14,34],"data":[16,41,183],"sparsity":[17],"and":[18,47,104,111,152,189],"noise.":[19],"To":[20],"address":[21],"these,":[22],"self-supervised":[23],"learning":[24],"(SSL)":[25],"methods,":[26],"particularly":[27,179],"recent":[28],"generative":[29,53,84],"approaches,":[30],"have":[31],"gained":[32],"attention":[33],"their":[36,72],"ability":[37],"augment":[39],"without":[42],"requiring":[43],"view":[45],"constructions":[46],"unstable":[48],"negative":[49],"sampling.":[50],"However,":[51],"existing":[52],"SSL":[54,85],"solutions":[55],"often":[56],"focus":[57],"on":[58,168],"structural":[59,115,150,188],"rather":[60],"than":[61],"semantic":[62,102,158,190],"(refer":[63],"collaborative":[65,105],"signals":[66,106],"in":[67,180,200],"recommendation":[68],"scenarios)":[69],"reconstruction,":[70,159],"limiting":[71],"potential":[73,82],"as":[74],"comprehensive":[75],"recommender.":[76],"This":[77],"paper":[78],"explores":[79],"the":[80,135,161,198],"untapped":[81],"of":[83,163],"for":[86,149,157],"graph-based":[87,201],"recommender":[88,202],"systems.":[89,203],"We":[90],"highlight":[91],"two":[92],"critical":[93],"challenges:":[94],"firstly,":[95],"designing":[96],"effective":[97],"diffusion":[98,120,155],"mechanisms":[99,117],"enhance":[101],"information":[103],"while":[107],"avoiding":[108],"optimization":[109],"biases;":[110],"secondly,":[112],"developing":[113],"adaptive":[114,146],"masking":[116],"within":[118],"improve":[122],"overall":[123],"model":[124,156,196],"performance.":[125],"Motivated":[126],"by":[127],"these":[128],"challenges,":[129],"we":[130],"propose":[131],"a":[132,153],"novel":[133],"approach:":[134],"Guided":[136],"Diffusion":[137],"enhanced":[138],"Mask":[139],"AutoEncoder":[141],"(GDiffMAE).":[142],"GDiffMAE":[143,173],"integrates":[144],"an":[145],"mask":[147],"encoder":[148],"reconstruction":[151],"guided":[154,193],"addressing":[160],"limitations":[162],"current":[164],"methods.":[165],"Experimental":[166],"results":[167],"diverse":[169],"datasets":[170],"demonstrate":[171],"that":[172],"consistently":[174],"outperforms":[175],"powerful":[176],"baseline":[177],"models,":[178],"handling":[181],"noisy":[182],"scenarios.":[184],"By":[185],"enhancing":[186],"both":[187],"dimensions":[191],"through":[192],"diffusion,":[194],"our":[195],"advances":[197],"state-of-the-art":[199]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
