{"id":"https://openalex.org/W4210509099","doi":"https://doi.org/10.1145/3511708","title":"Graph Neural News Recommendation with User Existing and Potential Interest Modeling","display_name":"Graph Neural News Recommendation with User Existing and Potential Interest Modeling","publication_year":2022,"publication_date":"2022-02-04","ids":{"openalex":"https://openalex.org/W4210509099","doi":"https://doi.org/10.1145/3511708"},"language":"en","primary_location":{"id":"doi:10.1145/3511708","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511708","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","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/A5062726606","display_name":"Zhaopeng Qiu","orcid":"https://orcid.org/0000-0001-8622-2402"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaopeng Qiu","raw_affiliation_strings":["Tencent, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8622-2402","affiliations":[{"raw_affiliation_string":"Tencent, Beijing, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048620435","display_name":"Yunfan Hu","orcid":"https://orcid.org/0000-0001-8060-248X"},"institutions":[{"id":"https://openalex.org/I16269868","display_name":"Santa Clara University","ror":"https://ror.org/03ypqe447","country_code":"US","type":"education","lineage":["https://openalex.org/I16269868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yunfan Hu","raw_affiliation_strings":["Santa Clara University, Santa Clara, CA, USA"],"raw_orcid":"https://orcid.org/0000-0001-8060-248X","affiliations":[{"raw_affiliation_string":"Santa Clara University, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I16269868"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100352418","display_name":"Xian Wu","orcid":"https://orcid.org/0000-0003-1118-9710"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian Wu","raw_affiliation_strings":["Tencent, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1118-9710","affiliations":[{"raw_affiliation_string":"Tencent, Beijing, China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.1507,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.98420099,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"16","issue":"5","first_page":"1","last_page":"17"},"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":0.9975000023841858,"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":0.8177775144577026},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.5713329315185547},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4568094313144684},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45533815026283264},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.42467713356018066},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4232966899871826},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41880345344543457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35527145862579346},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3531678318977356},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34298446774482727},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3231508135795593}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8177775144577026},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.5713329315185547},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4568094313144684},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45533815026283264},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.42467713356018066},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4232966899871826},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41880345344543457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35527145862579346},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3531678318977356},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34298446774482727},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3231508135795593},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3511708","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511708","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G939525872","display_name":null,"funder_award_id":"2018YFC0117000","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1983328081","https://openalex.org/W2049965950","https://openalex.org/W2067845094","https://openalex.org/W2094286023","https://openalex.org/W2109421086","https://openalex.org/W2112420033","https://openalex.org/W2135790056","https://openalex.org/W2250539671","https://openalex.org/W2475334473","https://openalex.org/W2604662567","https://openalex.org/W2742272831","https://openalex.org/W2743333519","https://openalex.org/W2787933113","https://openalex.org/W2807955117","https://openalex.org/W2950416834","https://openalex.org/W2950421571","https://openalex.org/W2963465723","https://openalex.org/W2963869731","https://openalex.org/W2964051675","https://openalex.org/W2964536660","https://openalex.org/W2970793364","https://openalex.org/W2984268961","https://openalex.org/W2988777870","https://openalex.org/W3004271756","https://openalex.org/W3014828506","https://openalex.org/W3034236656","https://openalex.org/W3034414418","https://openalex.org/W3034449195","https://openalex.org/W3034503922","https://openalex.org/W3103448498","https://openalex.org/W3106127452","https://openalex.org/W3114316604","https://openalex.org/W3168247839","https://openalex.org/W3173584449","https://openalex.org/W4210257598","https://openalex.org/W6807384801"],"related_works":["https://openalex.org/W2371352078","https://openalex.org/W2953461625","https://openalex.org/W2077383796","https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W4246980185","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W4238861846"],"abstract_inverted_index":{"Personalized":[0],"news":[1,37,56,76,116],"recommendations":[2],"can":[3],"alleviate":[4],"the":[5,34,60,63,119,125,128,136,142,147,170,178,187,191,201],"information":[6],"overload":[7],"problem.":[8],"To":[9,65],"enable":[10],"personalized":[11],"recommendation,":[12],"one":[13],"critical":[14],"step":[15],"is":[16],"to":[17,23,55,99,123,140,161,176,185],"learn":[18,30],"a":[19,71,157,182],"comprehensive":[20],"user":[21,31,81,113,143,179],"representation":[22],"model":[24,79,101],"her/his":[25],"interests.":[26,43],"Many":[27],"existing":[28,42,93,103,171],"works":[29],"representations":[32,175],"from":[33,92],"historical":[35,114],"clicked":[36,115],"articles,":[38],"which":[39],"reflect":[40],"their":[41],"However,":[44],"these":[45],"approaches":[46],"ignore":[47],"users\u2019":[48,102],"potential":[49,105,144,173],"interests":[50,145],"and":[51,84,104,117,150,172,180],"pay":[52],"less":[53],"attention":[54],"that":[57],"may":[58],"interest":[59,87,165,174],"users":[61],"in":[62],"future.":[64],"address":[66],"this":[67],"problem,":[68],"we":[69],"propose":[70],"novel":[72],"G":[73],"raph":[74],"neural":[75,138],"R":[77],"ecommendation":[78],"with":[80],"E":[82],"xisting":[83],"P":[85],"otential":[86],"modeling,":[88],"named":[89],"GREP.":[90,205],"Different":[91],"works,":[94],"GREP":[95,168],"introduces":[96],"three":[97],"modules":[98],"jointly":[100],"interests:":[106],"(1)":[107],"Existing":[108],"Interest":[109,132],"Encoding":[110,133],"module":[111,134,154],"mines":[112],"applies":[118],"multi-head":[120],"self-attention":[121],"mechanism":[122],"capture":[124],"relatedness":[126],"among":[127],"news;":[129],"(2)":[130],"Potential":[131],"leverages":[135,181],"graph":[137,160],"network":[139],"explore":[141],"on":[146,195],"knowledge":[148],"graph;":[149],"(3)":[151],"Bi-directional":[152],"Interaction":[153],"dynamically":[155],"builds":[156],"news-entity":[158],"bipartite":[159],"further":[162],"enrich":[163],"two":[164,196],"representations.":[166],"Finally,":[167],"combines":[169],"represent":[177],"prediction":[183],"layer":[184],"estimate":[186],"clicking":[188],"probability":[189],"of":[190,204],"candidate":[192],"news.":[193],"Experiments":[194],"real-world":[197],"large-scale":[198],"datasets":[199],"demonstrate":[200],"state-of-the-art":[202],"performance":[203]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
