{"id":"https://openalex.org/W4319586442","doi":"https://doi.org/10.1109/dsaa54385.2022.10032399","title":"DGNN: Denoising graph neural network for session-based recommendation","display_name":"DGNN: Denoising graph neural network for session-based recommendation","publication_year":2022,"publication_date":"2022-10-13","ids":{"openalex":"https://openalex.org/W4319586442","doi":"https://doi.org/10.1109/dsaa54385.2022.10032399"},"language":"en","primary_location":{"id":"doi:10.1109/dsaa54385.2022.10032399","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa54385.2022.10032399","pdf_url":null,"source":{"id":"https://openalex.org/S4363608340","display_name":"2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)","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/A5033112359","display_name":"Jiuqian Dai","orcid":"https://orcid.org/0000-0002-4620-0441"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiuqian Dai","raw_affiliation_strings":["Shandong Jianzhu University,School of Computer Science and Technology,Jinan,China","School of Computer Science and Technology, Shandong Jianzhu University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Shandong Jianzhu University,School of Computer Science and Technology,Jinan,China","institution_ids":["https://openalex.org/I44445938"]},{"raw_affiliation_string":"School of Computer Science and Technology, Shandong Jianzhu University, Jinan, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027997010","display_name":"Weihua Yuan","orcid":"https://orcid.org/0000-0001-7104-0331"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihua Yuan","raw_affiliation_strings":["Shandong Jianzhu University,School of Computer Science and Technology,Jinan,China","School of Computer Science and Technology, Shandong Jianzhu University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Shandong Jianzhu University,School of Computer Science and Technology,Jinan,China","institution_ids":["https://openalex.org/I44445938"]},{"raw_affiliation_string":"School of Computer Science and Technology, Shandong Jianzhu University, Jinan, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101880832","display_name":"Bao Chen","orcid":"https://orcid.org/0000-0002-9342-4616"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Bao","raw_affiliation_strings":["Shandong Jianzhu University,School of Computer Science and Technology,Jinan,China","School of Computer Science and Technology, Shandong Jianzhu University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Shandong Jianzhu University,School of Computer Science and Technology,Jinan,China","institution_ids":["https://openalex.org/I44445938"]},{"raw_affiliation_string":"School of Computer Science and Technology, Shandong Jianzhu University, Jinan, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100388925","display_name":"Zhijun Zhang","orcid":"https://orcid.org/0000-0002-9532-7158"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijun Zhang","raw_affiliation_strings":["Shandong Jianzhu University,School of Computer Science and Technology,Jinan,China","School of Computer Science and Technology, Shandong Jianzhu University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Shandong Jianzhu University,School of Computer Science and Technology,Jinan,China","institution_ids":["https://openalex.org/I44445938"]},{"raw_affiliation_string":"School of Computer Science and Technology, Shandong Jianzhu University, Jinan, China","institution_ids":["https://openalex.org/I44445938"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5033112359"],"corresponding_institution_ids":["https://openalex.org/I44445938"],"apc_list":null,"apc_paid":null,"fwci":1.4552,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.85266821,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.996999979019165,"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/T12303","display_name":"Tensor decomposition and applications","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8320978879928589},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6673492193222046},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5771637558937073},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5578888058662415},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5125198364257812},{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.49957919120788574},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47283679246902466},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4568001925945282},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4523821175098419},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4290361702442169},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.42291679978370667},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36368662118911743},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.337880402803421},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32321155071258545},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.12982529401779175},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.069449782371521}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8320978879928589},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6673492193222046},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5771637558937073},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5578888058662415},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5125198364257812},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.49957919120788574},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47283679246902466},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4568001925945282},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4523821175098419},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4290361702442169},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.42291679978370667},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36368662118911743},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.337880402803421},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32321155071258545},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.12982529401779175},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.069449782371521},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsaa54385.2022.10032399","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa54385.2022.10032399","pdf_url":null,"source":{"id":"https://openalex.org/S4363608340","display_name":"2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1486317198","https://openalex.org/W2042281163","https://openalex.org/W2047870744","https://openalex.org/W2095705004","https://openalex.org/W2116341502","https://openalex.org/W2157331557","https://openalex.org/W2171279286","https://openalex.org/W2341865734","https://openalex.org/W2512965516","https://openalex.org/W2809307135","https://openalex.org/W2899457523","https://openalex.org/W2964044287","https://openalex.org/W2965857891","https://openalex.org/W2985888257","https://openalex.org/W3012798016","https://openalex.org/W3037946710","https://openalex.org/W3045200674","https://openalex.org/W3080292067","https://openalex.org/W3093002391","https://openalex.org/W3096591391","https://openalex.org/W3101707147","https://openalex.org/W3173365306","https://openalex.org/W3193008388","https://openalex.org/W3198457408","https://openalex.org/W3206932362","https://openalex.org/W3210910782","https://openalex.org/W3217142607","https://openalex.org/W4220905824","https://openalex.org/W4220974940","https://openalex.org/W4294558607","https://openalex.org/W4297733535","https://openalex.org/W4299286960","https://openalex.org/W4385245566","https://openalex.org/W4386158527","https://openalex.org/W6638667902","https://openalex.org/W6674330103","https://openalex.org/W6677316912","https://openalex.org/W6682889407","https://openalex.org/W6683258052","https://openalex.org/W6692935382","https://openalex.org/W6738964360","https://openalex.org/W6739901393","https://openalex.org/W6786579534"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W4246980185","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W4238861846","https://openalex.org/W3125580266","https://openalex.org/W44246808","https://openalex.org/W4317039510"],"abstract_inverted_index":{"Session-based":[0],"recommendation,":[1],"which":[2,43],"predicts":[3],"the":[4,10,31,40,51,77,96,103,113],"user\u2019s":[5,12],"following":[6],"interactions":[7],"by":[8],"modeling":[9],"anonymous":[11],"interaction":[13],"history,":[14],"is":[15,24,37,54],"a":[16,55,62,107],"challenging":[17],"sub-direction":[18],"in":[19,102],"recommender":[20],"systems.":[21],"Session":[22],"data":[23],"noisy":[25],"and":[26,135],"contains":[27],"unnecessary":[28],"items.":[29],"Currently,":[30],"primary":[32],"solution":[33],"to":[34,38,95,119],"reduce":[35],"noise":[36,47,88],"use":[39],"attention":[41,52,78],"mechanism,":[42,79],"does":[44],"not":[45],"eliminate":[46],"very":[48],"well,":[49],"because":[50],"mechanism":[53],"sort":[56],"of":[57,99,124],"soft":[58,74],"pruning.":[59],"We":[60],"propose":[61,106],"novel":[63],"denoising":[64],"framework,":[65],"named":[66],"DGNN":[67,80,130],"(Denoising":[68],"Graph":[69],"Neural":[70],"Network).":[71],"Different":[72],"from":[73],"pruning":[75,83,114],"with":[76,121],"implements":[81],"hard":[82],"on":[84,139],"graph":[85],"structures,":[86],"eliminating":[87],"interference":[89],"more":[90],"thoroughly.":[91],"Among":[92],"DGNN,":[93],"according":[94],"individual":[97],"needs":[98],"each":[100,117],"node":[101,118],"graph,":[104],"we":[105],"scheme":[108],"that":[109,129],"can":[110,131],"adaptively":[111],"adjust":[112],"threshold,":[115],"enabling":[116],"cope":[120],"different":[122],"degrees":[123],"noise.":[125],"Extensive":[126],"experiments":[127],"show":[128],"beat":[132],"all":[133],"baselines":[134],"achieves":[136],"remarkable":[137],"results":[138],"four":[140],"benchmarks.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}