{"id":"https://openalex.org/W4402352005","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651102","title":"Inhomogeneous Interest Modeling via Hypergraph Convolutional Networks for Social Recommendation","display_name":"Inhomogeneous Interest Modeling via Hypergraph Convolutional Networks for Social Recommendation","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402352005","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651102"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10651102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10651102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5100701648","display_name":"Lin Luo","orcid":"https://orcid.org/0009-0005-2898-7171"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lin Luo","raw_affiliation_strings":["Wuhan University,Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Wuhan University,Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering,Wuhan,China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377147","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0002-3094-7735"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Wang","raw_affiliation_strings":["Wuhan University,Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Wuhan University,Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering,Wuhan,China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101598712","display_name":"Jinshuo Liu","orcid":"https://orcid.org/0000-0002-2374-485X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinshuo Liu","raw_affiliation_strings":["Wuhan University,Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Wuhan University,Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering,Wuhan,China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101980927","display_name":"Jing Huang","orcid":"https://orcid.org/0000-0001-7011-1943"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Huang","raw_affiliation_strings":["Wuhan University,School of Politics and Public Administration,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Politics and Public Administration,Wuhan,China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100701648"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":0.8142,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.7900137,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"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":0.984000027179718,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9649999737739563,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.8045022487640381},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.749828577041626},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.47096115350723267},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.40086525678634644},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3797539174556732},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34120962023735046},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11492988467216492},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.08970290422439575}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.8045022487640381},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.749828577041626},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.47096115350723267},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.40086525678634644},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3797539174556732},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34120962023735046},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11492988467216492},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.08970290422439575}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10651102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10651102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W2042281163","https://openalex.org/W2119825970","https://openalex.org/W2135598826","https://openalex.org/W2140310134","https://openalex.org/W2144487656","https://openalex.org/W2892880750","https://openalex.org/W2907827821","https://openalex.org/W2914721378","https://openalex.org/W2945827670","https://openalex.org/W3014559949","https://openalex.org/W3042856524","https://openalex.org/W3045200674","https://openalex.org/W3095937012","https://openalex.org/W3100278010","https://openalex.org/W3114652457","https://openalex.org/W3114680657","https://openalex.org/W3127701890","https://openalex.org/W3154246858","https://openalex.org/W3155496675","https://openalex.org/W3155928855","https://openalex.org/W3170682786","https://openalex.org/W3197998683","https://openalex.org/W3201966249","https://openalex.org/W3204736135","https://openalex.org/W3206310679","https://openalex.org/W3212275514","https://openalex.org/W3213905605","https://openalex.org/W4205132462","https://openalex.org/W4214543163","https://openalex.org/W4220835122","https://openalex.org/W4221150255","https://openalex.org/W4226198944","https://openalex.org/W4284704639","https://openalex.org/W4284889466","https://openalex.org/W4288770410","https://openalex.org/W4289533827","https://openalex.org/W4292262108","https://openalex.org/W4293363567","https://openalex.org/W4299314632","https://openalex.org/W4306316930","https://openalex.org/W4317931697","https://openalex.org/W4319971652","https://openalex.org/W4327668311","https://openalex.org/W4382358313","https://openalex.org/W4387596616","https://openalex.org/W4396220739","https://openalex.org/W6680830989","https://openalex.org/W6738964360","https://openalex.org/W6755340666","https://openalex.org/W6790190737","https://openalex.org/W6804536491","https://openalex.org/W6857596609"],"related_works":["https://openalex.org/W4376608589","https://openalex.org/W1537073411","https://openalex.org/W3138003926","https://openalex.org/W1630514295","https://openalex.org/W4300037846","https://openalex.org/W4288275998","https://openalex.org/W2963081352","https://openalex.org/W4376608938","https://openalex.org/W2472555608","https://openalex.org/W4214498971"],"abstract_inverted_index":{"To":[0,123],"improve":[1],"the":[2,49,88,96,119],"performance":[3],"of":[4,70,90],"social":[5,13,25,73,83,141,151,156],"recommendation,":[6],"it":[7],"can":[8],"be":[9],"beneficial":[10],"to":[11,61,87,139,158],"include":[12],"relationships,":[14,142],"model":[15,147,159],"user":[16],"interests,":[17],"and":[18,29,34,44,51,92,154,162],"item":[19],"attraction.":[20,163],"Traditional":[21],"methods":[22],"use":[23],"binary":[24,62,140],"relationships":[26],"between":[27],"users":[28,104],"items,":[30],"known":[31],"as":[32,76],"\u2019user-user\u2019":[33],"\u2019user-item\u2019,":[35],"which":[36,117],"rely":[37],"on":[38,171],"historical":[39],"interactions":[40],"like":[41],"purchasing":[42],"history":[43,46],"clickiing":[45],"equally.":[47],"However,":[48],"interests":[50,91,111,161],"attractions":[52],"aggregated":[53],"by":[54,108,115],"such":[55,75],"approaches":[56],"are":[57,65,105],"incomplete.":[58],"In":[59,137],"addition":[60,138],"interactions,":[63],"there":[64],"also":[66,106],"a":[67,145],"large":[68],"number":[69],"\u2019user-item-user\u2019":[71],"triple":[72,82,150],"behaviors,":[74],"retweeting":[77],"or":[78],"recommending.":[79],"Considering":[80],"these":[81],"behaviors":[84,153],"introduces":[85],"inhomogeneity":[86],"modeling":[89,120],"attractions.":[93],"Furthermore,":[94],"beyond":[95],"primary":[97],"explicit":[98],"in-terest":[99],"derived":[100],"from":[101],"interaction":[102],"history,":[103],"influenced":[107],"secondary,":[109],"latent":[110],"in":[112],"items":[113],"shared":[114],"friends,":[116],"makes":[118],"more":[121],"complex.":[122],"address":[124],"this":[125],"issue,":[126],"we":[127,143],"propose":[128],"IIMHGCN":[129],"(Inhomogeneous":[130],"Interest":[131],"Modeling":[132],"via":[133],"Hy-pergraph":[134],"Convolutional":[135],"Networks).":[136],"incorporate":[144],"hypergraph":[146],"that":[148],"utilizes":[149],"recommendation":[152],"higher-order":[155],"connections":[157],"inhomogeneous":[160],"We":[164],"substantiate":[165],"its":[166],"effectiveness":[167],"through":[168],"extensive":[169],"experiments":[170],"two":[172],"real-world":[173],"datasets.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
