{"id":"https://openalex.org/W4406612540","doi":"https://doi.org/10.1109/smc54092.2024.10832107","title":"Self-Attention Residual Connection and Graph Neural Hawkes Bilayer Model for Session-Based Recommendation","display_name":"Self-Attention Residual Connection and Graph Neural Hawkes Bilayer Model for Session-Based Recommendation","publication_year":2024,"publication_date":"2024-10-06","ids":{"openalex":"https://openalex.org/W4406612540","doi":"https://doi.org/10.1109/smc54092.2024.10832107"},"language":"en","primary_location":{"id":"doi:10.1109/smc54092.2024.10832107","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc54092.2024.10832107","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5100607146","display_name":"Huan Li","orcid":"https://orcid.org/0009-0002-3838-0267"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Li","raw_affiliation_strings":["School of Computer Science and Technology, Dongguan University of Technology,Dongguan,China,523808"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Dongguan University of Technology,Dongguan,China,523808","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016546719","display_name":"Senpeng Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Senpeng Chen","raw_affiliation_strings":["School of Computer Science and Technology, Dongguan University of Technology,Dongguan,China,523808"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Dongguan University of Technology,Dongguan,China,523808","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062578677","display_name":"Wenhong Wei","orcid":"https://orcid.org/0000-0002-0881-459X"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhong Wei","raw_affiliation_strings":["School of Computer Science and Technology, Dongguan University of Technology,Dongguan,China,523808"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Dongguan University of Technology,Dongguan,China,523808","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081465049","display_name":"Ani Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124427","display_name":"City College of Dongguan University of Technology","ror":"https://ror.org/02vdh2x09","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029","https://openalex.org/I4210124427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ani Dong","raw_affiliation_strings":["School of Artificial Intelligence, Dongguan City University,Dongguan,China,523419"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Dongguan City University,Dongguan,China,523419","institution_ids":["https://openalex.org/I4210124427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101603927","display_name":"Qingxia Li","orcid":"https://orcid.org/0009-0007-8514-2209"},"institutions":[{"id":"https://openalex.org/I4210124427","display_name":"City College of Dongguan University of Technology","ror":"https://ror.org/02vdh2x09","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029","https://openalex.org/I4210124427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingxia Li","raw_affiliation_strings":["School of Artificial Intelligence, Dongguan City University,Dongguan,China,523419"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Dongguan City University,Dongguan,China,523419","institution_ids":["https://openalex.org/I4210124427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24093832,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2870","last_page":"2875"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9765999913215637,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/residual","display_name":"Residual","score":0.7552202939987183},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.688376784324646},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.677229106426239},{"id":"https://openalex.org/keywords/connection","display_name":"Connection (principal bundle)","score":0.5504480600357056},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4916854500770569},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.468845009803772},{"id":"https://openalex.org/keywords/bilayer","display_name":"Bilayer","score":0.41215071082115173},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.27306050062179565},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2517063021659851},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15979081392288208},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.08993527293205261}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7552202939987183},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.688376784324646},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.677229106426239},{"id":"https://openalex.org/C13355873","wikidata":"https://www.wikidata.org/wiki/Q2920850","display_name":"Connection (principal bundle)","level":2,"score":0.5504480600357056},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4916854500770569},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.468845009803772},{"id":"https://openalex.org/C192157962","wikidata":"https://www.wikidata.org/wiki/Q4087243","display_name":"Bilayer","level":3,"score":0.41215071082115173},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.27306050062179565},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2517063021659851},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15979081392288208},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08993527293205261},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C41625074","wikidata":"https://www.wikidata.org/wiki/Q176088","display_name":"Membrane","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc54092.2024.10832107","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc54092.2024.10832107","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G2197938929","display_name":null,"funder_award_id":"2024A1515011838","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2054141820","https://openalex.org/W2171279286","https://openalex.org/W2474909202","https://openalex.org/W2512965516","https://openalex.org/W2809307135","https://openalex.org/W2899457523","https://openalex.org/W2908404712","https://openalex.org/W2953586472","https://openalex.org/W2964015378","https://openalex.org/W2964044287","https://openalex.org/W2964926209","https://openalex.org/W2986515219","https://openalex.org/W3021402147","https://openalex.org/W3034329572","https://openalex.org/W3190794503","https://openalex.org/W4206763141","https://openalex.org/W4226210383","https://openalex.org/W4385245566","https://openalex.org/W6630221451","https://openalex.org/W6680451568","https://openalex.org/W6690815549","https://openalex.org/W6692935382"],"related_works":["https://openalex.org/W4230197055","https://openalex.org/W4296749040","https://openalex.org/W4404605447","https://openalex.org/W621808327","https://openalex.org/W644007644","https://openalex.org/W2497198634","https://openalex.org/W3012257603","https://openalex.org/W1586784764","https://openalex.org/W4292264782","https://openalex.org/W4300237897"],"abstract_inverted_index":{"Session-based":[0],"recommendation":[1,17,70,201],"aims":[2],"to":[3,20,48,103,119,138,160],"make":[4],"recommendations":[5],"for":[6,128,144],"anonymous":[7],"users":[8],"based":[9,72],"on":[10,73,203],"limited":[11],"session":[12,69],"data.":[13],"However,":[14],"traditional":[15],"session-based":[16],"methods":[18],"fail":[19],"capture":[21,56,120,161],"complex":[22,121],"item":[23,32,166],"transitions":[24,50],"and":[25,53,77,97,107,135,186,207],"simply":[26],"represent":[27,178],"the":[28,38,43,57,155,162,190,196,204],"user's":[29,58],"last":[30],"clicked":[31],"as":[33],"a":[34,68,85,113],"short-term":[35,108,174,187],"preference,":[36],"neglecting":[37],"global":[39],"sequential":[40],"information":[41,143],"of":[42,90],"session.":[44],"This":[45,82],"approach":[46],"struggles":[47],"consider":[49],"between":[51,123,164],"contexts":[52],"cannot":[54],"accurately":[55,171],"true":[59],"intentions.":[60],"To":[61,176],"address":[62],"these":[63],"issues,":[64],"this":[65],"paper":[66],"proposes":[67],"method":[71,83],"self-attention":[74,93,133],"residual":[75,94,136],"connections":[76,137],"graph":[78,91,98,150],"neural":[79,92,99,151],"Hawkes":[80,100,152,156],"(SRGNH).":[81],"introduces":[84],"duallayer":[86],"network":[87],"structure":[88],"consisting":[89],"connection":[95],"layers":[96],"layers,":[101],"designed":[102],"learn":[104],"users'":[105,146,173,184],"long-term":[106,147,185],"preferences,":[109],"respectively.":[110],"SRGNH":[111,198],"employs":[112],"Gated":[114],"Graph":[115],"Neural":[116],"Network":[117],"(GGNN)":[118],"interactions":[122],"nodes,":[124],"obtaining":[125],"latent":[126],"vectors":[127],"each":[129],"item.":[130],"It":[131],"incorporates":[132],"networks":[134],"effectively":[139],"utilize":[140],"low-level":[141],"inspired":[142],"capturing":[145],"preferences.":[148,175],"The":[149],"layer":[153],"combines":[154],"process":[157],"with":[158],"GGNN":[159],"relationship":[163],"user":[165,179],"clicks":[167],"over":[168],"continuous":[169],"time,":[170],"representing":[172],"better":[177],"intent,":[180],"we":[181],"linearly":[182],"combine":[183],"preferences":[188],"in":[189],"end.":[191],"Experimental":[192],"results":[193],"demonstrate":[194],"that":[195],"proposed":[197],"outperforms":[199],"other":[200],"models":[202],"Diginetica,":[205],"Yoochoose1/64,":[206],"Yoochoose1/4":[208],"datasets.":[209]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
