{"id":"https://openalex.org/W4409657076","doi":"https://doi.org/10.1145/3696410.3714683","title":"Model-Agnostic Social Network Refinement with Diffusion Models for Robust Social Recommendation","display_name":"Model-Agnostic Social Network Refinement with Diffusion Models for Robust Social Recommendation","publication_year":2025,"publication_date":"2025-04-22","ids":{"openalex":"https://openalex.org/W4409657076","doi":"https://doi.org/10.1145/3696410.3714683"},"language":"en","primary_location":{"id":"doi:10.1145/3696410.3714683","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714683","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714683","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714683","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003439728","display_name":"Youchen Sun","orcid":"https://orcid.org/0000-0001-6164-5361"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Youchen Sun","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033957641","display_name":"Zhu Sun","orcid":"https://orcid.org/0000-0002-3350-7022"},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zhu Sun","raw_affiliation_strings":["Singapore University of Technology and Design, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Singapore University of Technology and Design, Singapore, Singapore","institution_ids":["https://openalex.org/I152815399"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006057467","display_name":"Yingpeng Du","orcid":"https://orcid.org/0000-0001-9881-7171"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yingpeng Du","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100436659","display_name":"Jie Zhang","orcid":"https://orcid.org/0000-0001-8996-7581"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jie Zhang","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068243197","display_name":"Yew-Soon Ong","orcid":"https://orcid.org/0000-0002-4480-169X"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yew Soon Ong","raw_affiliation_strings":["A*STAR Centre for Frontier AI Research, Singapore, Singapore and Nanyang Technological University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"A*STAR Centre for Frontier AI Research, Singapore, Singapore and Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005","https://openalex.org/I115228651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5003439728"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":6.0545,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.95389475,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"370","last_page":"378"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9902999997138977,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9883000254631042,"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/computer-science","display_name":"Computer science","score":0.7137896418571472},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.587468683719635},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5170603394508362},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3714636564254761},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.19130468368530273},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.176680326461792}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7137896418571472},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.587468683719635},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5170603394508362},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3714636564254761},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.19130468368530273},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.176680326461792},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3696410.3714683","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714683","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714683","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/201353","is_oa":false,"landing_page_url":"https://hdl.handle.net/10356/201353","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"Conference Paper"}],"best_oa_location":{"id":"doi:10.1145/3696410.3714683","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714683","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714683","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1482925484","display_name":null,"funder_award_id":"Tier 1","funder_id":"https://openalex.org/F4320320751","funder_display_name":"Ministry of Education - Singapore"},{"id":"https://openalex.org/G15471654","display_name":null,"funder_award_id":"MOE AcRF Tier 1","funder_id":"https://openalex.org/F4320320751","funder_display_name":"Ministry of Education - Singapore"},{"id":"https://openalex.org/G3002909058","display_name":null,"funder_award_id":"AcRF Tier 1","funder_id":"https://openalex.org/F4320320751","funder_display_name":"Ministry of Education - Singapore"}],"funders":[{"id":"https://openalex.org/F4320320751","display_name":"Ministry of Education - Singapore","ror":"https://ror.org/01kcva023"},{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"},{"id":"https://openalex.org/F4320324110","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409657076.pdf","grobid_xml":"https://content.openalex.org/works/W4409657076.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W2048531216","https://openalex.org/W2144487656","https://openalex.org/W2169384417","https://openalex.org/W2244405900","https://openalex.org/W2509678028","https://openalex.org/W2899291427","https://openalex.org/W2914721378","https://openalex.org/W2945827670","https://openalex.org/W2971600245","https://openalex.org/W3033630125","https://openalex.org/W3036167779","https://openalex.org/W3045200674","https://openalex.org/W3095937012","https://openalex.org/W3096831136","https://openalex.org/W3099939189","https://openalex.org/W3100278010","https://openalex.org/W3114652457","https://openalex.org/W3116172555","https://openalex.org/W3154246858","https://openalex.org/W3155496675","https://openalex.org/W3162926177","https://openalex.org/W3170682786","https://openalex.org/W3197317754","https://openalex.org/W4226237846","https://openalex.org/W4285818639","https://openalex.org/W4310895557","https://openalex.org/W4315977496","https://openalex.org/W4327668311","https://openalex.org/W4327991946","https://openalex.org/W4379382506","https://openalex.org/W4384644330","https://openalex.org/W4386729247","https://openalex.org/W4386729425","https://openalex.org/W4387461044","https://openalex.org/W4396734333","https://openalex.org/W4400525769","https://openalex.org/W4400527101","https://openalex.org/W4401857608","https://openalex.org/W4401857639","https://openalex.org/W4401863879","https://openalex.org/W6600474606","https://openalex.org/W6779823529","https://openalex.org/W6795288823"],"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":{"Social":[0,84,93],"recommendations":[1],"(SRs)":[2],"aim":[3],"to":[4,46,55,113,125,132,223,246],"enhance":[5,206],"preference":[6,116,153],"modeling":[7],"by":[8,18,60,72,106,135,172],"integrating":[9],"social":[10,23,36,49,57,104,122,147,195,212,232],"networks.":[11],"However,":[12],"their":[13],"effectiveness":[14],"is":[15,53,266],"mainly":[16],"constrained":[17],"two":[19],"factors:":[20],"the":[21,32,43,73,98,103,114,121,141,182,194,199,207,210,225,236],"noisy":[22,62],"connections":[24,37,63,233],"that":[25,166,254],"may":[26],"not":[27],"reflect":[28],"shared":[29],"interests,":[30],"and":[31,64,181,198,228],"limited":[33],"number":[34],"of":[35,76,209,241],"for":[38,68,91,154],"most":[39],"users,":[40],"which":[41],"hampers":[42],"system's":[44],"ability":[45],"fully":[47],"leverage":[48],"influence.":[50],"Therefore,":[51],"it":[52],"essential":[54],"perform":[56],"network":[58,105,123,148,196],"refinement":[59,197],"removing":[61],"adding":[65,108],"meaningful":[66],"ones":[67],"robust":[69],"SRs.":[70],"Inspired":[71],"denoising":[74],"capability":[75],"generative":[77],"diffusion":[78],"models,":[79],"we":[80,101,160,215,230],"propose":[81],"a":[82,145,162,189,217],"Model-Agnostic":[83],"Network":[85],"Refinement":[86],"framework":[87],"with":[88,150],"Diffusion":[89],"Models":[90],"Robust":[92],"Recommendation":[94],"(ARD-SR).":[95],"Specifically,":[96],"in":[97],"forward":[99],"process,":[100],"corrupt":[102],"progressively":[107,167],"position-specific":[109],"Gaussian":[110],"noise":[111,126,177],"calibrated":[112],"user":[115,201],"similarity,":[117],"better":[118],"simulating":[119],"how":[120],"responds":[124],"perturbations.":[127],"The":[128,264],"reverse":[129],"process":[130],"learns":[131],"denoise,":[133],"guided":[134],"each":[136,151],"user's":[137,152],"neighborhood":[138],"preferences":[139],"from":[140],"SR":[142,183,258,262],"backbone,":[143],"generating":[144],"tailored":[146],"aligned":[149],"establishing":[155],"connections.":[156],"For":[157],"effective":[158],"learning,":[159],"design":[161],"curriculum-based":[163],"training":[164],"mechanism":[165],"introduces":[168],"challenging":[169],"samples":[170],"characterized":[171],"high":[173,176],"sparsity":[174],"or":[175],"levels.":[178],"Finally,":[179],"ARD-SR":[180,255],"backbone":[184],"are":[185],"alternately":[186],"trained,":[187],"ensuring":[188],"continuous":[190],"mutual":[191],"enhancement":[192],"between":[193],"backbone's":[200],"representation":[202],"learning.":[203],"To":[204],"further":[205],"quality":[208],"refined":[211],"network,":[213],"(1)":[214],"introduce":[216],"preference-guided":[218],"flip":[219],"operation":[220],"during":[221],"inference":[222],"improve":[224],"input":[226],"quality;":[227],"(2)":[229],"modify":[231],"based":[234],"on":[235,250],"exponential":[237],"weighted":[238],"moving":[239],"average":[240],"ARD-SR's":[242],"predictions":[243],"across":[244,260],"epochs":[245],"reduce":[247],"fluctuations.":[248],"Experiments":[249],"three":[251],"datasets":[252],"show":[253],"significantly":[256],"improves":[257],"performance":[259],"multiple":[261],"backbones.":[263],"code":[265],"released":[267],"at":[268],"https://github.com/sunyc123r/ARD-SR.":[269]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}