{"id":"https://openalex.org/W4402157441","doi":"https://doi.org/10.1109/jiot.2024.3446048","title":"Diff-DGMN: A Diffusion-Based Dual Graph Multiattention Network for POI Recommendation","display_name":"Diff-DGMN: A Diffusion-Based Dual Graph Multiattention Network for POI Recommendation","publication_year":2024,"publication_date":"2024-08-20","ids":{"openalex":"https://openalex.org/W4402157441","doi":"https://doi.org/10.1109/jiot.2024.3446048"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2024.3446048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2024.3446048","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-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/A5036596307","display_name":"Jiankai Zuo","orcid":"https://orcid.org/0000-0002-4026-134X"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiankai Zuo","raw_affiliation_strings":["Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-4026-134X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048067916","display_name":"Yaying Zhang","orcid":"https://orcid.org/0000-0001-9552-3274"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaying Zhang","raw_affiliation_strings":["Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-9552-3274","affiliations":[{"raw_affiliation_string":"Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":11.8821,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.98399713,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"11","issue":"23","first_page":"38393","last_page":"38409"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9965000152587891,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9898999929428101,"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":0.7956299781799316},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5502616167068481},{"id":"https://openalex.org/keywords/dual-graph","display_name":"Dual graph","score":0.47720178961753845},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4389592409133911},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4333605468273163},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.28110793232917786},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.08579081296920776}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7956299781799316},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5502616167068481},{"id":"https://openalex.org/C169827030","wikidata":"https://www.wikidata.org/wiki/Q2294516","display_name":"Dual graph","level":4,"score":0.47720178961753845},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4389592409133911},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4333605468273163},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.28110793232917786},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.08579081296920776},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2024.3446048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2024.3446048","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G48599867","display_name":null,"funder_award_id":"2024-6-ZD-02","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G818768642","display_name":null,"funder_award_id":"72342026","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1991111872","https://openalex.org/W2071702404","https://openalex.org/W2171279286","https://openalex.org/W2302255633","https://openalex.org/W2539781657","https://openalex.org/W2913696439","https://openalex.org/W2963085847","https://openalex.org/W2984100107","https://openalex.org/W3034646226","https://openalex.org/W3040157551","https://openalex.org/W3045200674","https://openalex.org/W3096831136","https://openalex.org/W3128267727","https://openalex.org/W3164797320","https://openalex.org/W4206511970","https://openalex.org/W4212968990","https://openalex.org/W4213457653","https://openalex.org/W4226043096","https://openalex.org/W4284668299","https://openalex.org/W4284679298","https://openalex.org/W4285215208","https://openalex.org/W4293731782","https://openalex.org/W4315977496","https://openalex.org/W4318812521","https://openalex.org/W4321480031","https://openalex.org/W4360884927","https://openalex.org/W4384644330","https://openalex.org/W4384656510","https://openalex.org/W4384895066","https://openalex.org/W4385245566","https://openalex.org/W4385569744","https://openalex.org/W4386746103","https://openalex.org/W4387322836","https://openalex.org/W4387374535","https://openalex.org/W4388240381","https://openalex.org/W4388748008","https://openalex.org/W4390100390","https://openalex.org/W4390412407","https://openalex.org/W4390962701","https://openalex.org/W4392843879","https://openalex.org/W4393147800","https://openalex.org/W4396821233","https://openalex.org/W4400386332","https://openalex.org/W4401857150","https://openalex.org/W6679045638","https://openalex.org/W6765775151","https://openalex.org/W6779823529","https://openalex.org/W6786375611","https://openalex.org/W6809059006","https://openalex.org/W6857917012","https://openalex.org/W6860421208","https://openalex.org/W6866769497"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W1522006748","https://openalex.org/W4212786251","https://openalex.org/W4404280406","https://openalex.org/W2516172929","https://openalex.org/W2057144288"],"abstract_inverted_index":{"Effective":[0],"Point-of-Interest":[1],"(POI)":[2],"recommendation":[3,194],"systems":[4],"play":[5],"a":[6,36,41,61,82,99,109],"pivotal":[7],"role":[8],"in":[9,214],"modern":[10],"location-aware":[11],"applications":[12],"and":[13,51,80,105,130,152,174,221,229],"human":[14],"mobility,":[15],"facilitating":[16],"customized":[17],"suggestions":[18],"for":[19],"users\u2019":[20,181],"upcoming":[21],"exploration":[22],"destinations.":[23],"Understanding":[24],"the":[25,47,52,74,106,125,131,148,161,165,170,185,206],"intricate":[26],"dynamics":[27],"of":[28,38,56,95,128,134],"user":[29,57],"movement,":[30],"which":[31],"are":[32,234],"often":[33],"influenced":[34],"by":[35,76,168,226],"multitude":[37],"factors,":[39],"remains":[40],"formidable":[42],"task.":[43],"Moreover,":[44],"discrepancies":[45],"between":[46],"acquired":[48],"representation":[49,121],"distribution":[50,55],"authentic":[53],"target":[54],"interests":[58],"also":[59],"present":[60],"notable":[62],"obstacle.":[63],"To":[64],"tackle":[65],"these":[66],"problems,":[67],"we":[68,90,115,163],"make":[69],"an":[70,138],"attempt":[71],"to":[72,123,146,179],"bridge":[73],"gap":[75],"introducing":[77],"diffusion":[78,172],"models":[79],"propose":[81],"diffusion-based":[83],"dual":[84],"graph":[85,104,119],"multiattention":[86],"network":[87],"(Diff-DGMN).":[88],"Specifically,":[89],"have":[91],"constructed":[92],"two":[93,118],"types":[94],"graphs:":[96],"one":[97],"is":[98,108,144],"user-oriented":[100],"local":[101],"POI":[102,111],"transition":[103],"other":[107],"global-based":[110],"distance":[112],"graph.":[113],"Subsequently,":[114],"put":[116],"forward":[117,171],"learning":[120],"modules":[122],"capture":[124],"sequential":[126,150],"encoding":[127,151],"users":[129],"geographic":[132,153],"representations":[133],"nodes,":[135],"respectively.":[136,231],"Furthermore,":[137],"attention-based":[139],"location":[140],"prototype":[141],"generation":[142,178],"module":[143],"introduced":[145],"merge":[147],"captured":[149],"representation,":[154],"yielding":[155],"richer":[156],"semantic":[157],"interaction":[158],"features.":[159],"In":[160],"end,":[162],"obtain":[164],"final":[166],"results":[167],"leveraging":[169],"process":[173],"corresponding":[175],"its":[176,192],"reverse-time":[177],"sample":[180],"future":[182],"preferences":[183],"from":[184],"posterior":[186],"distribution.":[187],"Our":[188,232],"Diff-DGMN":[189,210],"model":[190],"demonstrates":[191],"remarkable":[193],"performance":[195,213],"through":[196],"extensive":[197],"experimentation":[198],"on":[199],"five":[200],"real-world":[201],"data":[202],"sets.":[203],"Compared":[204],"with":[205],"most":[207],"state-of-the-art":[208],"methodologies,":[209],"has":[211],"improved":[212],"accuracy,":[215],"normalized":[216],"discounted":[217],"cumulative":[218],"gain":[219],"(NDCG),":[220],"mean":[222],"reciprocal":[223],"rank":[224],"(MRR)":[225],"8.04%,":[227],"8.63%,":[228],"9.09%,":[230],"codes":[233],"available":[235],"athttps://github.com/JKZuo/Diff-DGMN.":[236]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":13}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}