{"id":"https://openalex.org/W4412377082","doi":"https://doi.org/10.1145/3726302.3730013","title":"Invariance Matters: Empowering Social Recommendation via Graph Invariant Learning","display_name":"Invariance Matters: Empowering Social Recommendation via Graph Invariant Learning","publication_year":2025,"publication_date":"2025-07-13","ids":{"openalex":"https://openalex.org/W4412377082","doi":"https://doi.org/10.1145/3726302.3730013"},"language":"en","primary_location":{"id":"doi:10.1145/3726302.3730013","doi":"https://doi.org/10.1145/3726302.3730013","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730013","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730013","source":{"id":"https://openalex.org/S4363608773","display_name":"International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730013","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065757714","display_name":"Yonghui Yang","orcid":"https://orcid.org/0000-0002-7601-6004","observed_orcids":["https://orcid.org/0000-0002-7601-6004"]},"institutions":[{"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":"Yonghui Yang","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-7601-6004","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033706423","display_name":"Le Wu","orcid":"https://orcid.org/0000-0003-4556-0581","observed_orcids":["https://orcid.org/0000-0003-4556-0581","https://orcid.org/0000-0002-0777-467X"]},"institutions":[{"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":"Le Wu","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Hefei University of Technology, Hefei, China and Institute of Dataspace, Hefei Comprehensive National Science Center, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-4556-0581","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Hefei University of Technology, Hefei, China and Institute of Dataspace, Hefei Comprehensive National Science Center, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuxin Liao","orcid":"https://orcid.org/0009-0001-8421-1061","observed_orcids":["https://orcid.org/0009-0001-8421-1061"]},"institutions":[{"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":"Yuxin Liao","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0001-8421-1061","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053072177","display_name":"Zhuangzhuang He","orcid":"https://orcid.org/0000-0001-6608-2940","observed_orcids":["https://orcid.org/0000-0001-6608-2940"]},"institutions":[{"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":"Zhuangzhuang He","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-6608-2940","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018509620","display_name":"Pengyang Shao","orcid":"https://orcid.org/0000-0003-2838-1987","observed_orcids":["https://orcid.org/0000-0003-2838-1987"]},"institutions":[{"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":"Pengyang Shao","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-2838-1987","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051332325","display_name":"Richang Hong","orcid":"https://orcid.org/0000-0001-5461-3986","observed_orcids":["https://orcid.org/0000-0001-5461-3986"]},"institutions":[{"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":"Richang Hong","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Hefei University of Technology, Hefei, China and Institute of Dataspace, Hefei Comprehensive National Science Center, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-5461-3986","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Hefei University of Technology, Hefei, China and Institute of Dataspace, Hefei Comprehensive National Science Center, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100377147","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0002-3094-7735","observed_orcids":["https://orcid.org/0000-0002-3094-7735","https://orcid.org/0009-0002-9497-2224"]},"institutions":[{"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":"Meng Wang","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-3094-7735","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":11.6615,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.98719656,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2038","last_page":"2047"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"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":1.0,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.0,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.0,"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/social-recommendation","display_name":"social recommendation","score":0.9409999847412109},{"id":"https://openalex.org/keywords/user-preference-learning","display_name":"user preference learning","score":0.6890000104904175},{"id":"https://openalex.org/keywords/data-sparsity","display_name":"data sparsity","score":0.6949999928474426},{"id":"https://openalex.org/keywords/graph-neural-networks","display_name":"graph neural networks","score":0.45399999618530273}],"concepts":[{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5943719148635864},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5858771800994873},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4570479691028595},{"id":"https://openalex.org/C2777522414","wikidata":"https://www.wikidata.org/wiki/Q648457","display_name":"Social graph","level":3,"score":0.4525656998157501},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4435086250305176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35030829906463623},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29680493474006653},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.26066654920578003},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20615702867507935},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.19387593865394592},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3726302.3730013","doi":"https://doi.org/10.1145/3726302.3730013","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730013","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730013","source":{"id":"https://openalex.org/S4363608773","display_name":"International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2504.10432","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2504.10432","pdf_url":"https://arxiv.org/pdf/2504.10432","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2504.10432","doi":"https://doi.org/10.48550/arxiv.2504.10432","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2504.10432","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1145/3726302.3730013","doi":"https://doi.org/10.1145/3726302.3730013","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730013","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730013","source":{"id":"https://openalex.org/S4363608773","display_name":"International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/5","score":0.4399999976158142,"display_name":"Gender equality"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G1346123884","display_name":null,"funder_award_id":"721881011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1888972371","display_name":null,"funder_award_id":"2021ZD0111802","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G3545516897","display_name":null,"funder_award_id":"2021ZD0111802","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5586753922","display_name":null,"funder_award_id":"U23B2031","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6795178878","display_name":null,"funder_award_id":"U23B2031, 721881011","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412377082.pdf","grobid_xml":"https://content.openalex.org/works/W4412377082.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1966472199","https://openalex.org/W1976320242","https://openalex.org/W2039613841","https://openalex.org/W2069870183","https://openalex.org/W2119825970","https://openalex.org/W2135598826","https://openalex.org/W2144487656","https://openalex.org/W2244405900","https://openalex.org/W2479734128","https://openalex.org/W2914721378","https://openalex.org/W2963146368","https://openalex.org/W3033630125","https://openalex.org/W3045200674","https://openalex.org/W3094127838","https://openalex.org/W3095937012","https://openalex.org/W3154113024","https://openalex.org/W3170682786","https://openalex.org/W3201966249","https://openalex.org/W4205132462","https://openalex.org/W4225359631","https://openalex.org/W4290944323","https://openalex.org/W4304080217","https://openalex.org/W4304984779","https://openalex.org/W4320830010","https://openalex.org/W4327668311","https://openalex.org/W4384652641","https://openalex.org/W4389675217","https://openalex.org/W4389776388","https://openalex.org/W4396734333","https://openalex.org/W4396757618","https://openalex.org/W4396844100","https://openalex.org/W4399114772","https://openalex.org/W4406296291","https://openalex.org/W4409364994","https://openalex.org/W4410636420","https://openalex.org/W6601211009","https://openalex.org/W6602225820"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W2784233313","https://openalex.org/W4245709619","https://openalex.org/W4390437572"],"abstract_inverted_index":{"Graph-based":[0],"social":[1,19,29,68,97],"recommender":[2],"systems":[3],"have":[4],"demonstrated":[5],"great":[6],"potential":[7],"in":[8,18],"alleviating":[9],"data":[10],"sparsity":[11],"by":[12],"leveraging":[13],"high-order":[14],"user":[15,44,92],"influence":[16],"embedded":[17],"networks.However,":[20],"most":[21],"existing":[22],"methods":[23],"rely":[24],"heavily":[25],"on":[26],"the":[27,58,67,72,95,101],"observed":[28],"graph,":[30,98],"which":[31],"is":[32,52],"often":[33],"noisy":[34,50],"and":[35,47,78],"includes":[36],"spurious":[37],"or":[38],"task-irrelevant":[39],"connections":[40],"that":[41],"can":[42],"mislead":[43],"preference":[45],"learning.Identifying":[46],"removing":[48],"these":[49],"relations":[51],"crucial":[53],"but":[54],"challenging":[55],"due":[56],"to":[57,89],"lack":[59],"of":[60,74,103],"ground-truth":[61],"annotations.In":[62],"this":[63],"paper,":[64],"we":[65],"approach":[66],"denoising":[69],"problem":[70],"from":[71],"perspective":[73],"graph":[75],"invariant":[76],"learning":[77],"propose":[79],"a":[80],"novel":[81],"approach,":[82],"Social":[83],"Graph":[84],"Invariant":[85],"Learning(SGIL).Specifically,":[86],"SGIL":[87],"aims":[88],"uncover":[90],"stable":[91],"preferences":[93],"within":[94],"input":[96],"thereby":[99],"enhancing":[100],"robustness":[102]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":3}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2025-10-10T00:00:00"}