{"id":"https://openalex.org/W2966349618","doi":"https://doi.org/10.1609/aaai.v33i01.33015329","title":"Explainable Reasoning over Knowledge Graphs for Recommendation","display_name":"Explainable Reasoning over Knowledge Graphs for Recommendation","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2966349618","doi":"https://doi.org/10.1609/aaai.v33i01.33015329","mag":"2966349618"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33015329","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33015329","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4470/4348","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4470/4348","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100389037","display_name":"Xiang Wang","orcid":"https://orcid.org/0000-0002-6148-6329"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xiang Wang","raw_affiliation_strings":["National University of Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031109807","display_name":"Dingxian Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I1321826891","display_name":"eBay (Ireland)","ror":"https://ror.org/02b00s810","country_code":"IE","type":"company","lineage":["https://openalex.org/I1321826891","https://openalex.org/I4210150719"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Dingxian Wang","raw_affiliation_strings":["eBay"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"eBay","institution_ids":["https://openalex.org/I1321826891"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110091965","display_name":"Canran Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I1321826891","display_name":"eBay (Ireland)","ror":"https://ror.org/02b00s810","country_code":"IE","type":"company","lineage":["https://openalex.org/I1321826891","https://openalex.org/I4210150719"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Canran Xu","raw_affiliation_strings":["eBay"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"eBay","institution_ids":["https://openalex.org/I1321826891"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038668215","display_name":"Xiangnan He","orcid":"https://orcid.org/0000-0001-8472-7992"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xiangnan He","raw_affiliation_strings":["National University of Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013247988","display_name":"Yixin Cao","orcid":"https://orcid.org/0000-0002-6927-438X"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yixin Cao","raw_affiliation_strings":["National University of Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089404640","display_name":"Tat\u2010Seng Chua","orcid":"https://orcid.org/0000-0001-6097-7807"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tat-Seng Chua","raw_affiliation_strings":["National University of Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":739,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":"01","first_page":"5329","last_page":"5336"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9970999956130981,"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"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9970999956130981,"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":0.994700014591217,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9872999787330627,"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":0.8209912776947021},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5685007572174072},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5564847588539124},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5521815419197083},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5148488879203796},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5141313672065735},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.510730504989624},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.5008785724639893},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.47083616256713867},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.45691946148872375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4499703645706177},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4129437208175659},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34309646487236023},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33246996998786926},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10528913140296936}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8209912776947021},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5685007572174072},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5564847588539124},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5521815419197083},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5148488879203796},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5141313672065735},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.510730504989624},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.5008785724639893},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.47083616256713867},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.45691946148872375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4499703645706177},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4129437208175659},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34309646487236023},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33246996998786926},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10528913140296936},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1609/aaai.v33i01.33015329","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33015329","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4470/4348","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/167311","is_oa":false,"landing_page_url":"https://scholarbank.nus.edu.sg/handle/10635/167311","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"},{"id":"pmh:oai:ojs.aaai.org:article/4470","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/4470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33015329","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33015329","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4470/4348","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.699999988079071,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G7458888121","display_name":null,"funder_award_id":"AISG-100E-2018-002","funder_id":"https://openalex.org/F4320320709","funder_display_name":"National Research Foundation Singapore"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320320709","display_name":"National Research Foundation Singapore","ror":"https://ror.org/03cpyc314"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2966349618.pdf","grobid_xml":"https://content.openalex.org/works/W2966349618.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W205829674","https://openalex.org/W756168069","https://openalex.org/W2047729491","https://openalex.org/W2101848544","https://openalex.org/W2127795553","https://openalex.org/W2140310134","https://openalex.org/W2184957013","https://openalex.org/W2466714650","https://openalex.org/W2509893387","https://openalex.org/W2565948352","https://openalex.org/W2605350416","https://openalex.org/W2609678640","https://openalex.org/W2626473670","https://openalex.org/W2739945392","https://openalex.org/W2740098507","https://openalex.org/W2743159750","https://openalex.org/W2784476247","https://openalex.org/W2792839191","https://openalex.org/W2798385737","https://openalex.org/W2798868970","https://openalex.org/W2798914047","https://openalex.org/W2807942528","https://openalex.org/W2884134047","https://openalex.org/W2893775232","https://openalex.org/W2963323306","https://openalex.org/W2964152081","https://openalex.org/W3106302634","https://openalex.org/W3106440478","https://openalex.org/W6732219242","https://openalex.org/W6735804486","https://openalex.org/W6750697259","https://openalex.org/W6966739949"],"related_works":["https://openalex.org/W2604454537","https://openalex.org/W4206028705","https://openalex.org/W3182020042","https://openalex.org/W2808284704","https://openalex.org/W2883748392","https://openalex.org/W2897702399","https://openalex.org/W2757431232","https://openalex.org/W2954554213","https://openalex.org/W3200431764","https://openalex.org/W4288286922"],"abstract_inverted_index":{"Incorporating":[0],"knowledge":[1,19,103],"graph":[2,104],"into":[3],"recommender":[4],"systems":[5],"has":[6],"attracted":[7],"increasing":[8],"attention":[9],"in":[10,74,159],"recent":[11],"years.":[12],"By":[13,121],"exploring":[14],"the":[15,21,46,78,114,123,137,154],"interlinks":[16],"within":[17,81,126],"a":[18,57,86,92,127,141,147,161,170],"graph,":[20],"connectivity":[22,42,68],"between":[23],"users":[24],"and":[25,35,50,82,119,184,196],"items":[26],"can":[27,108],"be":[28],"discovered":[29],"as":[30],"paths,":[31],"which":[32],"provide":[33],"rich":[34],"complementary":[36],"information":[37],"to":[38,55,69,101,135,152],"user-item":[39,142],"interactions.":[40],"Such":[41],"not":[43,64],"only":[44],"reveals":[45],"semantics":[47,84,115],"of":[48,76,85,116,140,156,173],"entities":[49,118],"relations,":[51],"but":[52],"also":[53],"helps":[54],"comprehend":[56],"user\u2019s":[58],"interest.":[59],"However,":[60],"existing":[61],"efforts":[62],"have":[63],"fully":[65],"explored":[66],"this":[67,88],"infer":[70,136],"user":[71,162],"preferences,":[72],"especially":[73],"terms":[75],"modeling":[77],"sequential":[79,124],"dependencies":[80,125],"holistic":[83],"path.In":[87],"paper,":[89],"we":[90,129,145],"contribute":[91],"new":[93,148],"model":[94,168],"named":[95],"Knowledgeaware":[96],"Path":[97],"Recurrent":[98],"Network":[99],"(KPRN)":[100],"exploit":[102],"for":[105],"recommendation.":[106],"KPRN":[107],"generate":[109],"path":[110],"representations":[111],"by":[112],"composing":[113],"both":[117],"relations.":[120],"leveraging":[122],"path,":[128],"allow":[130],"effective":[131],"reasoning":[132],"on":[133,179],"paths":[134,158],"underlying":[138],"rationale":[139],"interaction.":[143],"Furthermore,":[144],"design":[146],"weighted":[149],"pooling":[150],"operation":[151],"discriminate":[153],"strengths":[155],"different":[157],"connecting":[160],"with":[163,169],"an":[164],"item,":[165],"endowing":[166],"our":[167],"certain":[171],"level":[172],"explainability.":[174],"We":[175],"conduct":[176],"extensive":[177],"experiments":[178],"two":[180],"datasets":[181],"about":[182],"movie":[183],"music,":[185],"demonstrating":[186],"significant":[187],"improvements":[188],"over":[189],"state-of-the-art":[190],"solutions":[191],"Collaborative":[192],"Knowledge":[193],"Base":[194],"Embedding":[195],"Neural":[197],"Factorization":[198],"Machine.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":18},{"year":2025,"cited_by_count":82},{"year":2024,"cited_by_count":125},{"year":2023,"cited_by_count":146},{"year":2022,"cited_by_count":124},{"year":2021,"cited_by_count":115},{"year":2020,"cited_by_count":101},{"year":2019,"cited_by_count":28}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}