{"id":"https://openalex.org/W4409657208","doi":"https://doi.org/10.1145/3696410.3714848","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","display_name":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","publication_year":2025,"publication_date":"2025-04-22","ids":{"openalex":"https://openalex.org/W4409657208","doi":"https://doi.org/10.1145/3696410.3714848"},"language":"en","primary_location":{"id":"doi:10.1145/3696410.3714848","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714848","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714848","source":null,"license":null,"license_id":null,"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/10.1145/3696410.3714848","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075917385","display_name":"Chu Zhao","orcid":"https://orcid.org/0000-0002-5649-1545"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chu Zhao","raw_affiliation_strings":["Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086494876","display_name":"Enneng Yang","orcid":"https://orcid.org/0000-0001-5419-5286"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enneng Yang","raw_affiliation_strings":["Northeastern University, Shenyang, Liaoning, China"],"affiliations":[{"raw_affiliation_string":"Northeastern University, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070656599","display_name":"Yuliang Liang","orcid":"https://orcid.org/0000-0002-2946-7910"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuliang Liang","raw_affiliation_strings":["Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000544808","display_name":"Jianzhe Zhao","orcid":"https://orcid.org/0000-0003-4492-5075"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianzhe Zhao","raw_affiliation_strings":["Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007061198","display_name":"Guibing Guo","orcid":"https://orcid.org/0000-0002-1709-5056"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guibing Guo","raw_affiliation_strings":["Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100326915","display_name":"Xingwei Wang","orcid":"https://orcid.org/0000-0003-2856-4716"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingwei Wang","raw_affiliation_strings":["Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5075917385"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":6.1,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.95431229,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2018","last_page":"2031"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9850000143051147,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.972000002861023,"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":0.6238082647323608},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4947630763053894},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.42793452739715576},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.42515090107917786},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.40768224000930786},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2506365180015564},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22840431332588196}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6238082647323608},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4947630763053894},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.42793452739715576},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.42515090107917786},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40768224000930786},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2506365180015564},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22840431332588196},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"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":1,"locations":[{"id":"doi:10.1145/3696410.3714848","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714848","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714848","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3696410.3714848","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714848","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714848","source":null,"license":null,"license_id":null,"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":[],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2551476765","display_name":null,"funder_award_id":"62032013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4416569672","display_name":null,"funder_award_id":"2032013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5376064418","display_name":null,"funder_award_id":"62102074","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7836423780","display_name":null,"funder_award_id":"Liaoning","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409657208.pdf","grobid_xml":"https://content.openalex.org/works/W4409657208.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W2945623882","https://openalex.org/W2945827670","https://openalex.org/W2965857891","https://openalex.org/W2997202305","https://openalex.org/W3004249040","https://openalex.org/W3036167779","https://openalex.org/W3045200674","https://openalex.org/W3094605801","https://openalex.org/W3100278010","https://openalex.org/W3114652457","https://openalex.org/W3153325943","https://openalex.org/W3165548017","https://openalex.org/W4224308683","https://openalex.org/W4284666445","https://openalex.org/W4290944323","https://openalex.org/W4294299221","https://openalex.org/W4315977496","https://openalex.org/W4320830010","https://openalex.org/W4361229533","https://openalex.org/W4366273490","https://openalex.org/W4380091476","https://openalex.org/W4384625746","https://openalex.org/W4384644330","https://openalex.org/W4384644461","https://openalex.org/W4385568499","https://openalex.org/W4385804996","https://openalex.org/W4386746103","https://openalex.org/W4387846482","https://openalex.org/W4389714157","https://openalex.org/W4390134877","https://openalex.org/W4392271057","https://openalex.org/W4393147223","https://openalex.org/W4393148115","https://openalex.org/W4396735686","https://openalex.org/W4396757484","https://openalex.org/W4396844100","https://openalex.org/W4399087926","https://openalex.org/W4400527101","https://openalex.org/W6779823529","https://openalex.org/W6852720018"],"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":{"The":[0],"distributionally":[1],"robust":[2],"optimization":[3],"(DRO)-based":[4],"graph":[5,56],"neural":[6],"network":[7],"methods":[8,58],"improve":[9],"recommendation":[10,57,114],"systems'":[11],"out-of-distribution":[12],"(OOD)":[13],"generalization":[14,40,165],"by":[15,72],"optimizing":[16],"the":[17,27,33,75,84,129,133,144,154,164,189,205,216],"model's":[18],"worst-case":[19,155],"performance.":[20],"However,":[21],"these":[22],"studies":[23],"fail":[24],"to":[25,62,66,98,127,148,186,203],"consider":[26],"impact":[28],"of":[29,163,168,176,207],"noisy":[30,130,181],"samples":[31,82],"in":[32,38,83,132,143,153,221],"training":[34,85],"data,":[35,86],"which":[36,184],"results":[37,217],"diminished":[39],"capabilities":[41],"and":[42,47,123,215,224,229],"lower":[43],"accuracy.":[44],"Through":[45],"experimental":[46],"theoretical":[48,161,174,194],"analysis,":[49],"this":[50,103],"paper":[51],"reveals":[52],"that":[53,94],"current":[54],"DRO-based":[55],"assign":[59],"greater":[60],"weight":[61],"noise":[63,81],"distribution,":[64],"leading":[65],"model":[67,76,111],"parameter":[68],"learning":[69],"being":[70],"dominated":[71],"it.":[73],"When":[74],"overly":[77],"focuses":[78],"on":[79,200],"fitting":[80],"it":[87],"may":[88],"learn":[89],"irrelevant":[90],"or":[91],"meaningless":[92],"features":[93],"cannot":[95],"be":[96],"generalized":[97],"OOD":[99,113],"data.":[100],"To":[101],"address":[102],"challenge,":[104],"we":[105,158],"design":[106],"a":[107,121,160,173,193],"Distributionally":[108],"Robust":[109],"Graph":[110],"for":[112],"(DRGO).":[115],"Specifically,":[116],"our":[117,178,208],"method":[118],"first":[119],"employs":[120],"simple":[122],"effective":[124],"diffusion":[125],"paradigm":[126],"alleviate":[128],"effect":[131],"latent":[134],"space.":[135],"Additionally,":[136],"an":[137],"entropy":[138],"regularization":[139],"term":[140],"is":[141],"introduced":[142],"DRO":[145],"objective":[146],"function":[147],"avoid":[149],"extreme":[150],"sample":[151,182],"weights":[152],"distribution.":[156],"Finally,":[157],"provide":[159],"proof":[162],"error":[166],"bound":[167],"DRGO":[169],"as":[170,172],"well":[171],"analysis":[175],"how":[177],"approach":[179],"mitigates":[180],"effects,":[183],"helps":[185],"better":[187],"understand":[188],"proposed":[190],"framework":[191,209],"from":[192],"perspective.":[195],"We":[196],"conduct":[197],"extensive":[198],"experiments":[199],"four":[201],"datasets":[202],"evaluate":[204],"effectiveness":[206],"against":[210],"three":[211],"typical":[212],"distribution":[213],"shifts,":[214],"demonstrate":[218],"its":[219],"superiority":[220],"both":[222],"independently":[223],"identically":[225],"distributed":[226],"distributions":[227],"(IID)":[228],"OOD.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
