{"id":"https://openalex.org/W3080884086","doi":"https://doi.org/10.1145/3394486.3403254","title":"A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks","display_name":"A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks","publication_year":2020,"publication_date":"2020-08-20","ids":{"openalex":"https://openalex.org/W3080884086","doi":"https://doi.org/10.1145/3394486.3403254","mag":"3080884086"},"language":"en","primary_location":{"id":"doi:10.1145/3394486.3403254","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394486.3403254","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-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/A5101057614","display_name":"Jianing Sun","orcid":"https://orcid.org/0009-0001-4943-6038"},"institutions":[{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Jianing Sun","raw_affiliation_strings":["Huawei Noah's Ark Lab/Montreal Reseach Center, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab/Montreal Reseach Center, Montreal, Canada","institution_ids":["https://openalex.org/I4210115038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100648538","display_name":"Wei Guo","orcid":"https://orcid.org/0000-0001-8616-0221"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Guo","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060364823","display_name":"Dengcheng Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dengcheng Zhang","raw_affiliation_strings":["Huawei Distributed and Parallel Software Lab, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Huawei Distributed and Parallel Software Lab, Hangzhou, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101906738","display_name":"Yingxue Zhang","orcid":"https://orcid.org/0000-0002-8370-3873"},"institutions":[{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yingxue Zhang","raw_affiliation_strings":["Huawei Noah's Ark Lab/Montreal Reseach Center, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab/Montreal Reseach Center, Montreal, Canada","institution_ids":["https://openalex.org/I4210115038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065633053","display_name":"Florence Regol","orcid":null},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Florence Regol","raw_affiliation_strings":["McGill University, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"McGill University, Montreal, Canada","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063190518","display_name":"Yaochen Hu","orcid":"https://orcid.org/0000-0002-0078-0735"},"institutions":[{"id":"https://openalex.org/I4210115038","display_name":"Huawei Technologies (Canada)","ror":"https://ror.org/026venb53","country_code":"CA","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210115038"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yaochen Hu","raw_affiliation_strings":["Huawei Noah's Ark Lab/Montreal Reseach Center, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab/Montreal Reseach Center, Montreal, Canada","institution_ids":["https://openalex.org/I4210115038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019541869","display_name":"Huifeng Guo","orcid":"https://orcid.org/0000-0002-7393-8994"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huifeng Guo","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054330014","display_name":"Ruiming Tang","orcid":"https://orcid.org/0000-0002-9224-2431"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiming Tang","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011606889","display_name":"Han Yuan","orcid":"https://orcid.org/0000-0002-9636-9376"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Yuan","raw_affiliation_strings":["Huawei Distributed and Parallel Software Lab, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Huawei Distributed and Parallel Software Lab, Hangzhou, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083350101","display_name":"Xiuqiang He","orcid":"https://orcid.org/0000-0002-4115-8205"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuqiang He","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009031715","display_name":"Mark Coates","orcid":"https://orcid.org/0000-0001-5030-1379"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mark Coates","raw_affiliation_strings":["McGill University, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"McGill University, Montreal, Canada","institution_ids":["https://openalex.org/I5023651"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5101057614"],"corresponding_institution_ids":["https://openalex.org/I4210115038"],"apc_list":null,"apc_paid":null,"fwci":18.6342,"has_fulltext":false,"cited_by_count":88,"citation_normalized_percentile":{"value":0.99255628,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2030","last_page":"2039"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9984999895095825,"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/T10028","display_name":"Topic Modeling","score":0.9803000092506409,"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":0.850851833820343},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.79938805103302},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5922383069992065},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5887805819511414},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.532590389251709},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.520359456539154},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.490446537733078},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.42347991466522217},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33306604623794556},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2269706428050995}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.850851833820343},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.79938805103302},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5922383069992065},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5887805819511414},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.532590389251709},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.520359456539154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.490446537733078},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.42347991466522217},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33306604623794556},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2269706428050995}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3394486.3403254","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394486.3403254","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W46938732","https://openalex.org/W1994389483","https://openalex.org/W2049455633","https://openalex.org/W2049670925","https://openalex.org/W2054141820","https://openalex.org/W2140310134","https://openalex.org/W2144807535","https://openalex.org/W2153578526","https://openalex.org/W2229809859","https://openalex.org/W2295739661","https://openalex.org/W2513818136","https://openalex.org/W2519887557","https://openalex.org/W2604662567","https://openalex.org/W2605350416","https://openalex.org/W2624407581","https://openalex.org/W2624431344","https://openalex.org/W2774321216","https://openalex.org/W2807021761","https://openalex.org/W2894039884","https://openalex.org/W2908404712","https://openalex.org/W2914050157","https://openalex.org/W2914721378","https://openalex.org/W2945266622","https://openalex.org/W2945827670","https://openalex.org/W2948133842","https://openalex.org/W2951626319","https://openalex.org/W2955380732","https://openalex.org/W2963146368","https://openalex.org/W2963398635","https://openalex.org/W2963456618","https://openalex.org/W2963858333","https://openalex.org/W2964321699","https://openalex.org/W2972774416","https://openalex.org/W2988106712","https://openalex.org/W2996068536","https://openalex.org/W3037579346","https://openalex.org/W3098649723","https://openalex.org/W3100278010","https://openalex.org/W3100848837","https://openalex.org/W3104326162","https://openalex.org/W4297971002"],"related_works":["https://openalex.org/W2348159088","https://openalex.org/W2402445420","https://openalex.org/W1773619406","https://openalex.org/W2377968345","https://openalex.org/W2075040002","https://openalex.org/W2126026531","https://openalex.org/W2511071455","https://openalex.org/W2369194530","https://openalex.org/W2975456086","https://openalex.org/W1533414157"],"abstract_inverted_index":{"Personalized":[0],"recommender":[1,21,224],"systems":[2],"are":[3,81,89],"playing":[4],"an":[5,189],"increasingly":[6],"important":[7],"role":[8],"for":[9,213],"online":[10],"consumption":[11],"platforms.":[12],"Because":[13],"of":[14,17,62,169],"the":[15,35,53,63,72,77,110,128,131,136,159,167,204,207,218],"multitude":[16],"relationships":[18,37,64],"existing":[19],"in":[20,71,113,130,222],"systems,":[22],"Graph":[23,138],"Neural":[24,140],"Networks":[25],"(GNNs)":[26],"based":[27],"approaches":[28,51],"have":[29],"been":[30],"proposed":[31,171,179,201],"to":[32,84,121,126],"better":[33],"characterize":[34],"various":[36],"between":[38,65],"a":[39,45,59,94,118,123,155],"user":[40],"and":[41,67,153],"items":[42],"while":[43],"modeling":[44],"user's":[46,95],"preferences.":[47],"Previous":[48],"graph-based":[49,183],"recommendation":[50,74,176,184],"process":[52],"observed":[54],"user-item":[55,79,132],"interaction":[56,133],"graph":[57,134],"as":[58],"ground-truth":[60],"depiction":[61],"users":[66],"items.":[68],"However,":[69],"especially":[70],"implicit":[73],"setting,":[75],"all":[76],"unobserved":[78],"interactions":[80],"usually":[82],"assumed":[83],"be":[85,102,148],"negative":[86],"samples.":[87],"There":[88],"missing":[90],"links":[91],"that":[92,199],"represent":[93],"future":[96],"actions.":[97],"In":[98],"addition,":[99],"there":[100],"may":[101],"spurious":[103],"or":[104],"misleading":[105],"positive":[106],"interactions.":[107],"To":[108],"alleviate":[109],"above":[111],"issue,":[112],"this":[114],"work,":[115],"we":[116,187],"take":[117],"first":[119],"step":[120],"introduce":[122],"principled":[124],"way":[125],"model":[127],"uncertainty":[129],"using":[135,158],"Bayesian":[137,160],"Convolutional":[139],"Network":[141],"framework.":[142],"We":[143,165],"discuss":[144],"how":[145],"inference":[146],"can":[147],"performed":[149],"under":[150],"our":[151,170,200],"framework":[152,172],"provide":[154],"concrete":[156],"formulation":[157],"Probabilistic":[161],"Ranking":[162],"training":[163],"loss.":[164],"demonstrate":[166],"effectiveness":[168],"on":[173,192],"four":[174],"benchmark":[175],"datasets.":[177],"The":[178],"method":[180,202],"outperforms":[181,203],"state-of-the-art":[182],"models.":[185],"Furthermore,":[186],"conducted":[188],"offline":[190],"evaluation":[191],"one":[193],"industrial":[194],"large-scale":[195],"dataset.":[196],"It":[197],"shows":[198],"baselines,":[205],"with":[206],"potential":[208,219],"gain":[209],"being":[210],"more":[211],"significant":[212],"cold-start":[214],"users.":[215],"This":[216],"illustrates":[217],"practical":[220],"benefit":[221],"real-world":[223],"systems.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":23},{"year":2021,"cited_by_count":22}],"updated_date":"2026-03-31T07:56:22.981413","created_date":"2025-10-10T00:00:00"}
