{"id":"https://openalex.org/W4214823533","doi":"https://doi.org/10.1109/access.2022.3156618","title":"An Attention-Based Spatiotemporal GGNN for Next POI Recommendation","display_name":"An Attention-Based Spatiotemporal GGNN for Next POI Recommendation","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4214823533","doi":"https://doi.org/10.1109/access.2022.3156618"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3156618","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3156618","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09727181.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09727181.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101418176","display_name":"Quan Li","orcid":"https://orcid.org/0000-0001-6211-1046"},"institutions":[{"id":"https://openalex.org/I4210165606","display_name":"Hubei Normal University","ror":"https://ror.org/056y3dw16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210165606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan Li","raw_affiliation_strings":["Department of Computer and Information Engineering, Hubei Normal University, Hubei, Huangshi, China"],"raw_orcid":"https://orcid.org/0000-0001-6211-1046","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Engineering, Hubei Normal University, Hubei, Huangshi, China","institution_ids":["https://openalex.org/I4210165606"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100932277","display_name":"XU Xin-hua","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165606","display_name":"Hubei Normal University","ror":"https://ror.org/056y3dw16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210165606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinhua Xu","raw_affiliation_strings":["Department of Computer and Information Engineering, Hubei Normal University, Hubei, Huangshi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Engineering, Hubei Normal University, Hubei, Huangshi, China","institution_ids":["https://openalex.org/I4210165606"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066400642","display_name":"Xinghong Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165606","display_name":"Hubei Normal University","ror":"https://ror.org/056y3dw16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210165606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinghong Liu","raw_affiliation_strings":["Department of Computer and Information Engineering, Hubei Normal University, Hubei, Huangshi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Engineering, Hubei Normal University, Hubei, Huangshi, China","institution_ids":["https://openalex.org/I4210165606"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101775884","display_name":"Qi Chen","orcid":"https://orcid.org/0000-0002-2835-5394"},"institutions":[{"id":"https://openalex.org/I4210165606","display_name":"Hubei Normal University","ror":"https://ror.org/056y3dw16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210165606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Chen","raw_affiliation_strings":["Department of Computer and Information Engineering, Hubei Normal University, Hubei, Huangshi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Engineering, Hubei Normal University, Hubei, Huangshi, China","institution_ids":["https://openalex.org/I4210165606"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210165606"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":7.9682,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.97435208,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"10","issue":null,"first_page":"26471","last_page":"26480"},"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":0.9980000257492065,"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":0.9732999801635742,"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":0.8264679312705994},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5294598937034607},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5231757760047913},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.4668135643005371},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4349935054779053},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4171578586101532},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38281089067459106},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3579389452934265}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8264679312705994},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5294598937034607},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5231757760047913},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.4668135643005371},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4349935054779053},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4171578586101532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38281089067459106},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3579389452934265}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3156618","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3156618","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09727181.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c4bbdc516b0d4312a4d7485b17b4eed1","is_oa":true,"landing_page_url":"https://doaj.org/article/c4bbdc516b0d4312a4d7485b17b4eed1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 26471-26480 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3156618","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3156618","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09727181.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4214823533.pdf","grobid_xml":"https://content.openalex.org/works/W4214823533.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W1811254738","https://openalex.org/W1888005072","https://openalex.org/W1984189333","https://openalex.org/W2024504711","https://openalex.org/W2044672016","https://openalex.org/W2054141820","https://openalex.org/W2064675550","https://openalex.org/W2135598826","https://openalex.org/W2142144955","https://openalex.org/W2154851992","https://openalex.org/W2157331557","https://openalex.org/W2408538552","https://openalex.org/W2474909202","https://openalex.org/W2539781657","https://openalex.org/W2612465529","https://openalex.org/W2625746539","https://openalex.org/W2743289629","https://openalex.org/W2762529682","https://openalex.org/W2772907995","https://openalex.org/W2783272285","https://openalex.org/W2790658395","https://openalex.org/W2791723757","https://openalex.org/W2808008183","https://openalex.org/W2893346805","https://openalex.org/W2895054342","https://openalex.org/W2899457523","https://openalex.org/W2910376060","https://openalex.org/W2947144452","https://openalex.org/W2950898568","https://openalex.org/W2963850536","https://openalex.org/W2964926209","https://openalex.org/W3015126766","https://openalex.org/W3034646226","https://openalex.org/W3035313290","https://openalex.org/W3045509867","https://openalex.org/W3080292238","https://openalex.org/W3089160862","https://openalex.org/W3093261329","https://openalex.org/W3098231197","https://openalex.org/W3098791569","https://openalex.org/W3101707147","https://openalex.org/W3103248659","https://openalex.org/W3104097132","https://openalex.org/W3132276274","https://openalex.org/W3166577266","https://openalex.org/W3193405108","https://openalex.org/W6632885370","https://openalex.org/W6638742206","https://openalex.org/W6688089849","https://openalex.org/W6690815549","https://openalex.org/W6752190125"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3093454656","https://openalex.org/W3145941582","https://openalex.org/W4296821948","https://openalex.org/W3133858449","https://openalex.org/W2985111225","https://openalex.org/W3214532913","https://openalex.org/W4307640250","https://openalex.org/W4312250621"],"abstract_inverted_index":{"The":[0,182],"task":[1],"of":[2,118,144,158,194],"Point-of-Interest":[3],"(POI)":[4],"recommendation":[5,28],"is":[6,46,80,112,171],"to":[7,23,92,133],"recommend":[8],"the":[9,36,42,76,97,102,107,116,119,140,154,168,177,187,202],"next":[10,54,72],"interest":[11],"locations":[12],"for":[13,48,71],"users.":[14],"Gated":[15],"Graph":[16],"Neural":[17],"Network":[18],"(GGNN)":[19],"has":[20,206],"been":[21],"proved":[22],"be":[24],"effective":[25],"on":[26],"POI":[27,55,73],"tasks.":[29],"However,":[30,128],"existing":[31],"GGNN":[32],"solutions":[33],"rarely":[34],"consider":[35],"spatiotemporal":[37,64,89],"information":[38,91],"between":[39,106],"nodes":[40,95,146,160],"in":[41,53,96],"sequence":[43,79,98],"graph,":[44,99],"which":[45],"essential":[47],"modeling":[49],"user":[50],"check-in":[51,78],"behaviors":[52],"recommendation.":[56,74],"In":[57],"this":[58],"paper,":[59],"we":[60,87,138],"propose":[61],"an":[62,125],"attention-based":[63],"gated":[65],"graph":[66,84,145,159],"neural":[67],"network":[68],"model":[69,134,178],"(ATST-GGNN)":[70],"Firstly,":[75],"user\u2019s":[77],"represented":[81,114],"as":[82,115,151,153],"a":[83],"structure.":[85],"Secondly,":[86],"use":[88],"context":[90],"dynamically":[93],"update":[94],"and":[100,121,176,190],"obtain":[101],"complex":[103],"transfer":[104],"relationships":[105],"check-ins.":[108],"Thirdly,":[109],"each":[110],"session":[111],"then":[113],"composition":[117],"long":[120],"short":[122,130],"preference":[123,131],"using":[124],"attention":[126,165],"network.":[127],"current":[129],"fails":[132],"union-level":[135],"sequential":[136],"patterns,":[137],"improve":[139],"local":[141],"embedding":[142,156],"representation":[143,157],"by":[147,161,173],"window":[148],"pooling":[149],"method,":[150],"well":[152],"global":[155],"integrating":[162],"it":[163],"into":[164],"mechanism.":[166],"Finally,":[167],"objective":[169],"function":[170],"constructed":[172],"cross":[174],"entropy":[175],"parameters":[179],"are":[180,197],"learned.":[181],"experimental":[183],"results":[184],"show":[185],"that":[186],"precision":[188],"rate":[189],"mean":[191],"reciprocal":[192],"ranking":[193],"ATST-GGNN":[195],"method":[196],"greatly":[198],"improved":[199],"compared":[200],"with":[201],"state-of-art":[203],"methods.":[204],"It":[205],"good":[207],"application":[208],"prospect.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}