{"id":"https://openalex.org/W4400351165","doi":"https://doi.org/10.1109/tbdata.2024.3423727","title":"Denoising Implicit Feedback for Graph Collaborative Filtering via Causal Intervention","display_name":"Denoising Implicit Feedback for Graph Collaborative Filtering via Causal Intervention","publication_year":2024,"publication_date":"2024-07-05","ids":{"openalex":"https://openalex.org/W4400351165","doi":"https://doi.org/10.1109/tbdata.2024.3423727"},"language":"en","primary_location":{"id":"doi:10.1109/tbdata.2024.3423727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2024.3423727","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"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 Big Data","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/A5046372467","display_name":"Huiting Liu","orcid":"https://orcid.org/0000-0002-5521-0764"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huiting Liu","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, Anhui, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Huaxiu Zhang","orcid":"https://orcid.org/0009-0005-2588-1603"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaxiu Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, Anhui, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100371517","display_name":"Peipei Li","orcid":"https://orcid.org/0000-0001-9142-448X"},"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":"Peipei Li","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education of China, School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, Anhui, China","Key Laboratory of Knowledge Engineering with Big Data (the Ministry of Education of China), School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education of China, School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, Anhui, China","institution_ids":["https://openalex.org/I143868143","https://openalex.org/I16365422","https://openalex.org/I126520041"]},{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data (the Ministry of Education of China), School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, Anhui, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Peng Zhao","orcid":"https://orcid.org/0000-0003-1594-7187"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhao","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, Anhui, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080738591","display_name":"Xindong Wu","orcid":"https://orcid.org/0000-0003-2396-1704"},"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":"Xindong Wu","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education of China, Hefei University of Technology, Hefei, China","Key Laboratory of Knowledge Engineering with Big Data (the Ministry of Education of China), Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education of China, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data (the Ministry of Education of China), Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5046372467"],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":0.8296,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70474851,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"11","issue":"2","first_page":"696","last_page":"709"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.968999981880188,"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"}},"topics":[{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.968999981880188,"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/T10320","display_name":"Neural Networks and Applications","score":0.9193999767303467,"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":0.7984286546707153},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.5830007195472717},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5397525429725647},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5189011693000793},{"id":"https://openalex.org/keywords/intervention","display_name":"Intervention (counseling)","score":0.4570867717266083},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4057784676551819},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3227587938308716},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3151850700378418},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.29187852144241333}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7984286546707153},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.5830007195472717},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5397525429725647},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5189011693000793},{"id":"https://openalex.org/C2780665704","wikidata":"https://www.wikidata.org/wiki/Q959298","display_name":"Intervention (counseling)","level":2,"score":0.4570867717266083},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4057784676551819},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3227587938308716},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3151850700378418},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.29187852144241333},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbdata.2024.3423727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2024.3423727","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"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 Big Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1031907543","display_name":null,"funder_award_id":"61976077","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1128271767","display_name":null,"funder_award_id":"62120106008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7843218282","display_name":null,"funder_award_id":"2008085MF219","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"},{"id":"https://openalex.org/G7951781639","display_name":null,"funder_award_id":"2108085MF212","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W2039613841","https://openalex.org/W2049910836","https://openalex.org/W2054141820","https://openalex.org/W2132917208","https://openalex.org/W2140310134","https://openalex.org/W2143117649","https://openalex.org/W2143891888","https://openalex.org/W2157881433","https://openalex.org/W2605350416","https://openalex.org/W2798868970","https://openalex.org/W2914721378","https://openalex.org/W2945827670","https://openalex.org/W2987119394","https://openalex.org/W2994506732","https://openalex.org/W2998431760","https://openalex.org/W2999649805","https://openalex.org/W3033630125","https://openalex.org/W3044311607","https://openalex.org/W3045200674","https://openalex.org/W3048742138","https://openalex.org/W3094605801","https://openalex.org/W3097918897","https://openalex.org/W3152876231","https://openalex.org/W3155850838","https://openalex.org/W3156833186","https://openalex.org/W3156939347","https://openalex.org/W3171665710","https://openalex.org/W3182221256","https://openalex.org/W3199916614","https://openalex.org/W3206458369","https://openalex.org/W4220909642","https://openalex.org/W4284688665","https://openalex.org/W4284704639","https://openalex.org/W4286367216","https://openalex.org/W4293569092","https://openalex.org/W4313598884","https://openalex.org/W4365420615","https://openalex.org/W4390490824","https://openalex.org/W6796271356","https://openalex.org/W6846071020"],"related_works":["https://openalex.org/W2398165842","https://openalex.org/W197922276","https://openalex.org/W4226158052","https://openalex.org/W1809731386","https://openalex.org/W4388863299","https://openalex.org/W2160332782","https://openalex.org/W2945818642","https://openalex.org/W2146181690","https://openalex.org/W2006998619","https://openalex.org/W2556985004"],"abstract_inverted_index":{"The":[0],"performance":[1],"of":[2,24,35,47,79,84,134,141,184],"graph":[3,95,163],"collaborative":[4,96],"filtering":[5,97],"(GCF)":[6],"models":[7],"could":[8],"be":[9],"affected":[10],"by":[11],"noisy":[12,191],"user-item":[13],"interactions.":[14],"Existing":[15],"studies":[16,173],"on":[17,146,174],"data":[18],"denoising":[19],"either":[20],"ignore":[21],"the":[22,32,40,45,61,72,82,113,132,135,142,154,182,197],"nature":[23],"noise":[25,48,53],"in":[26,81,193],"implicit":[27,101,194],"feedback":[28,102,195],"or":[29],"seldom":[30],"consider":[31,76],"long-tail":[33],"distribution":[34,78],"historical":[36],"interaction":[37],"data.":[38],"For":[39,71],"first":[41],"challenge,":[42,74],"we":[43,59,75,89,106,117,130],"analyze":[44],"role":[46],"from":[49,153],"a":[50,91,108],"causal":[51,65,85,94],"perspective:":[52],"is":[54,187],"an":[55],"unobservable":[56],"confounder.":[57],"Therefore,":[58],"use":[60],"instrumental":[62,114],"variable":[63],"for":[64,103],"intervention":[66],"without":[67],"requiring":[68],"confounder":[69],"observation.":[70],"second":[73],"degree":[77,109,150],"nodes":[80,119,124,137,144],"course":[83],"intervention.":[86],"And":[87],"then":[88],"propose":[90],"model":[92],"named":[93],"(CausalGCF)":[98],"to":[99,126,159],"denoise":[100],"GCF.":[104],"Specifically,":[105],"design":[107],"augmentation":[110,151],"strategy":[111,152],"as":[112],"variable.":[115],"First,":[116],"divide":[118],"into":[120],"head":[121,136],"and":[122,138,156,177],"tail":[123,143],"according":[125],"their":[127],"degree.":[128],"Then,":[129],"purify":[131],"interactions":[133,192],"enrich":[139],"those":[140],"based":[145],"similarity.":[147],"We":[148],"perform":[149],"user":[155],"item":[157],"sides":[158],"obtain":[160],"two":[161],"different":[162],"structures,":[164],"which":[165,186],"are":[166],"trained":[167],"together":[168],"with":[169],"self-supervised":[170],"learning.":[171],"Empirical":[172],"four":[175,178],"real":[176],"synthetic":[179],"datasets":[180],"demonstrate":[181],"effectiveness":[183],"CausalGCF,":[185],"more":[188],"robust":[189],"against":[190],"than":[196],"baselines.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}