{"id":"https://openalex.org/W4390484007","doi":"https://doi.org/10.1145/3595916.3626377","title":"Global-Local GraphFormer: Towards Better Understanding of User Intentions in Sequential Recommendation","display_name":"Global-Local GraphFormer: Towards Better Understanding of User Intentions in Sequential Recommendation","publication_year":2023,"publication_date":"2023-12-06","ids":{"openalex":"https://openalex.org/W4390484007","doi":"https://doi.org/10.1145/3595916.3626377"},"language":"en","primary_location":{"id":"doi:10.1145/3595916.3626377","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3595916.3626377","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3595916.3626377","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Multimedia Asia 2023","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3595916.3626377","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100420416","display_name":"Hong Chen","orcid":"https://orcid.org/0000-0002-0943-2286"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Chen","raw_affiliation_strings":["Tsinghua University, China"],"raw_orcid":"https://orcid.org/0000-0002-0943-2286","affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101401100","display_name":"Bin Huang","orcid":"https://orcid.org/0009-0000-2504-3689"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Huang","raw_affiliation_strings":["Tsinghua University, China"],"raw_orcid":"https://orcid.org/0009-0000-2504-3689","affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022927606","display_name":"Xin Wang","orcid":"https://orcid.org/0000-0002-0351-2939"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Wang","raw_affiliation_strings":["Tsinghua University, China"],"raw_orcid":"https://orcid.org/0000-0002-0351-2939","affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101273536","display_name":"Yuwei Zhou","orcid":"https://orcid.org/0000-0001-9582-7331"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuwei Zhou","raw_affiliation_strings":["Tsinghua University, China"],"raw_orcid":"https://orcid.org/0000-0001-9582-7331","affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100339293","display_name":"Wenwu Zhu","orcid":"https://orcid.org/0000-0003-2236-9290"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenwu Zhu","raw_affiliation_strings":["Tsinghua University, China"],"raw_orcid":"https://orcid.org/0000-0003-2236-9290","affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.97,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.78198198,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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":0.9883999824523926,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9714000225067139,"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/computer-science","display_name":"Computer science","score":0.6478980779647827},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.41378456354141235},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3630430996417999},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.24987885355949402}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6478980779647827},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.41378456354141235},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3630430996417999},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.24987885355949402}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3595916.3626377","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3595916.3626377","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3595916.3626377","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Multimedia Asia 2023","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3595916.3626377","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3595916.3626377","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3595916.3626377","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Multimedia Asia 2023","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G119957897","display_name":null,"funder_award_id":"62102222","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1527691513","display_name":null,"funder_award_id":"62250008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1950392669","display_name":null,"funder_award_id":"BNR2023RC01003","funder_id":"https://openalex.org/F4320329777","funder_display_name":"Beijing National Research Center For Information Science And Technology"},{"id":"https://openalex.org/G3022012397","display_name":null,"funder_award_id":"BNR2023TD03006","funder_id":"https://openalex.org/F4320329777","funder_display_name":"Beijing National Research Center For Information Science And Technology"},{"id":"https://openalex.org/G3720940119","display_name":null,"funder_award_id":"2020AAA0106300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6655011991","display_name":null,"funder_award_id":"No. 2020AAA0106300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8567821897","display_name":null,"funder_award_id":"62222209","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329777","display_name":"Beijing National Research Center For Information Science And Technology","ror":null},{"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/W4390484007.pdf","grobid_xml":"https://content.openalex.org/works/W4390484007.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1985854669","https://openalex.org/W2042281163","https://openalex.org/W2054141820","https://openalex.org/W2101409192","https://openalex.org/W2142144955","https://openalex.org/W2583674722","https://openalex.org/W2605350416","https://openalex.org/W2626454364","https://openalex.org/W2725606191","https://openalex.org/W2783272285","https://openalex.org/W2945827670","https://openalex.org/W2963367478","https://openalex.org/W2984100107","https://openalex.org/W3012705926","https://openalex.org/W3034329572","https://openalex.org/W3045200674","https://openalex.org/W3080374445","https://openalex.org/W3100278010","https://openalex.org/W3102619277","https://openalex.org/W3156994078","https://openalex.org/W4297971002"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","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/W4317039510"],"abstract_inverted_index":{"Transformer-based":[0,23,92,121,176],"model":[1,177],"has":[2],"gained":[3],"great":[4],"success":[5],"in":[6,28,46,85,133,141],"the":[7,26,29,43,47,52,56,59,71,82,86,91,96,102,114,120,125,134,138,142,162,175,198,228,239],"multimedia":[8],"sequential":[9,19,30,72,98,122],"recommendation":[10],"task":[11],"due":[12],"to":[13,17,50,70,101,112,118,173],"its":[14],"strong":[15],"ability":[16],"handle":[18],"data.":[20],"However,":[21],"existing":[22],"models":[24,93,158],"regard":[25],"items":[27],"data":[31],"as":[32],"a":[33],"user-specific":[34],"fully-connected":[35],"graph":[36,49,62,116,136,164,183,195,235],"(local":[37],"graph)":[38,64],"and":[39,137,165,181,226],"only":[40],"explicitly":[41],"consider":[42],"temporal":[44,139,167],"information":[45,83,117,126,184,196,236],"local":[48,166,199],"capture":[51],"users\u2019":[53,97],"intentions,":[54],"ignoring":[55],"fact":[57],"that":[58,214],"user-item":[60,131],"bipartite":[61],"(global":[63],"may":[65],"carry":[66],"important":[67,108],"relation":[68],"patterns":[69,140],"items.":[73],"Additionally,":[74],"it":[75],"is":[76,171],"still":[77],"unclear":[78],"whether":[79],"(and":[80],"how)":[81],"hidden":[84],"global":[87,115,135,163,234],"graphs":[88],"can":[89,219],"help":[90,119],"better":[94],"understand":[95],"behavior":[99],"according":[100],"current":[103],"literature.":[104],"To":[105],"investigate":[106],"this":[107],"problem,":[109],"we":[110,152],"propose":[111,153],"utilize":[113],"recommendation,":[123],"where":[124],"from":[127],"different":[128,231],"modalities,":[129],"i.e.,":[130],"interactions":[132],"historical":[143],"sequences,":[144],"are":[145],"taken":[146],"into":[147,197],"account":[148],"jointly.":[149],"In":[150],"concrete,":[151],"two":[154,186],"Global-Local":[155],"(GL)":[156],"GraphFormer":[157],"for":[159],"utilizing":[160],"both":[161,179],"information.":[168],"One":[169],"GL-GraphFormer":[170,192],"able":[172],"gift":[174],"with":[178,201,238],"first-":[180],"second-order":[182],"through":[185],"specifically":[187],"designed":[188],"encodings.":[189],"The":[190],"other":[191],"transfers":[193],"higher-order":[194],"Transformer":[200],"pretrained":[202],"Graph":[203],"Neural":[204],"Networks":[205],"(GNNs).":[206],"Extensive":[207],"experiments":[208],"on":[209],"several":[210],"real-world":[211],"datasets":[212],"demonstrate":[213],"i)":[215],"our":[216],"proposed":[217],"GL-GraphFormers":[218],"bring":[220],"substantial":[221],"improvement":[222],"over":[223],"baseline":[224],"methods,":[225],"ii)":[227],"benefits":[229],"of":[230,233],"orders":[232],"vary":[237],"dataset":[240],"sparsity.":[241]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}