{"id":"https://openalex.org/W4213163981","doi":"https://doi.org/10.1145/3488560.3498437","title":"DualDE","display_name":"DualDE","publication_year":2022,"publication_date":"2022-02-11","ids":{"openalex":"https://openalex.org/W4213163981","doi":"https://doi.org/10.1145/3488560.3498437"},"language":"en","primary_location":{"id":"doi:10.1145/3488560.3498437","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488560.3498437","pdf_url":null,"source":{"id":"https://openalex.org/S4363608885","display_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","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/A5074207407","display_name":"Yushan Zhu","orcid":"https://orcid.org/0000-0002-9809-9269"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yushan Zhu","raw_affiliation_strings":["Zhejiang University, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100448121","display_name":"Wen Zhang","orcid":"https://orcid.org/0000-0001-5221-2628"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Zhang","raw_affiliation_strings":["Alibaba Group, Hangzhou, Zhejiang, China","Zhejiang University, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I45928872"]},{"raw_affiliation_string":"Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100450652","display_name":"Mingyang Chen","orcid":"https://orcid.org/0000-0001-6080-3559"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyang Chen","raw_affiliation_strings":["Zhejiang University, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100691089","display_name":"Hui Chen","orcid":"https://orcid.org/0000-0002-2224-7085"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]},{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Chen","raw_affiliation_strings":["Alibaba Group, Hangzhou, Zhejiang, China","Zhejiang University, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I45928872"]},{"raw_affiliation_string":"Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101449143","display_name":"Xu Cheng","orcid":"https://orcid.org/0000-0002-5375-7096"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Cheng","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100441646","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0002-4972-9594"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Alibaba Group, Hangzhou, Zhejiang, China","Zhejiang University, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I45928872"]},{"raw_affiliation_string":"Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102018239","display_name":"Huajun Chen","orcid":"https://orcid.org/0000-0001-5496-7442"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]},{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huajun Chen","raw_affiliation_strings":["Alibaba Group, Hangzhou, Zhejiang, China","Zhejiang University, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I45928872"]},{"raw_affiliation_string":"Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5074207407"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":1.6753,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.857052,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1516","last_page":"1524"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":1.0,"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":1.0,"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":0.9970999956130981,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9915000200271606,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7293846607208252},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.677440881729126},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6651384830474854},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.568132221698761},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44168901443481445},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4409821927547455},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3822961449623108},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12822067737579346}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7293846607208252},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.677440881729126},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6651384830474854},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.568132221698761},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44168901443481445},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4409821927547455},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3822961449623108},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12822067737579346},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3488560.3498437","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488560.3498437","pdf_url":null,"source":{"id":"https://openalex.org/S4363608885","display_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G613940918","display_name":null,"funder_award_id":"C91846204/U19B2027","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W205829674","https://openalex.org/W1522301498","https://openalex.org/W1533230146","https://openalex.org/W1821462560","https://openalex.org/W2026810221","https://openalex.org/W2126333738","https://openalex.org/W2127795553","https://openalex.org/W2132679783","https://openalex.org/W2250225488","https://openalex.org/W2250342289","https://openalex.org/W2250635077","https://openalex.org/W2252136820","https://openalex.org/W2286365479","https://openalex.org/W2411418050","https://openalex.org/W2707890836","https://openalex.org/W2728059831","https://openalex.org/W2747329762","https://openalex.org/W2785761199","https://openalex.org/W2809994596","https://openalex.org/W2896457183","https://openalex.org/W2909137510","https://openalex.org/W2924902521","https://openalex.org/W2937408455","https://openalex.org/W2950604577","https://openalex.org/W2963140444","https://openalex.org/W2970454332","https://openalex.org/W2975059944","https://openalex.org/W2997006708","https://openalex.org/W3004061291","https://openalex.org/W3034225346","https://openalex.org/W3092822179","https://openalex.org/W3101443751","https://openalex.org/W3156778566","https://openalex.org/W4297193481","https://openalex.org/W6718112784","https://openalex.org/W6753640285","https://openalex.org/W6754324986","https://openalex.org/W6761783306","https://openalex.org/W6769906912"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2037549926","https://openalex.org/W2345479200","https://openalex.org/W2183306018","https://openalex.org/W2055243143","https://openalex.org/W1975289146","https://openalex.org/W2849310602","https://openalex.org/W3006008237","https://openalex.org/W2419146053","https://openalex.org/W4388890789"],"abstract_inverted_index":{"Knowledge":[0],"Graph":[1],"Embedding":[2],"(KGE)":[3],"is":[4,52,122],"a":[5,61,89,108,144,162],"popular":[6],"method":[7,64,136],"for":[8,41,46],"KG":[9],"reasoning":[10,24,51],"and":[11,34,37,49,82,100,107,151,177],"training":[12],"KGEs":[13,28],"with":[14],"higher":[15],"dimension":[16],"are":[17,38],"usually":[18],"preferred":[19],"since":[20],"they":[21],"have":[22],"better":[23],"capability.":[25],"However,":[26],"high-dimensional":[27,72,145],"pose":[29],"huge":[30],"challenges":[31],"to":[32,65,94,104,112,125,128],"storage":[33],"computing":[35],"resources":[36],"not":[39],"suitable":[40],"resource-limited":[42],"or":[43],"time-constrained":[44],"applications,":[45],"which":[47],"faster":[48],"cheaper":[50],"necessary.":[53],"To":[54],"address":[55],"this":[56],"problem,":[57],"we":[58,87],"propose":[59,88],"DualDE,":[60,86],"knowledge":[62],"distillation":[63,110,179],"build":[66],"low-dimensional":[67],"student":[68],"KGE":[69,146],"from":[70],"pre-trained":[71],"teacher":[73,81],"KGE.":[74],"DualDE":[75,121],"considers":[76],"the":[77,80,83,114,118,140,153,169],"dual-influence":[78],"between":[79],"student.":[84],"In":[85],"soft":[90,98,173],"label":[91,99,102,174],"evaluation":[92,175],"mechanism":[93,176],"adaptively":[95],"assign":[96],"different":[97,105],"hard":[101],"weights":[103],"triples,":[106],"two-stage":[109,178],"approach":[111,180],"improve":[113],"student's":[115],"acceptance":[116],"of":[117,143,171],"teacher.":[119],"Our":[120],"general":[123],"enough":[124],"be":[126],"applied":[127],"various":[129],"KGEs.":[130],"Experimental":[131],"results":[132],"show":[133],"that":[134],"our":[135,172],"can":[137],"successfully":[138],"reduce":[139],"embedding":[141],"parameters":[142],"by":[147,156],"7\u00d7":[148],"-":[149,158],"15\u00d7":[150],"increase":[152],"inference":[154],"speed":[155],"2\u00d7":[157],"6\u00d7":[159],"while":[160],"retaining":[161],"high":[163],"performance.":[164],"We":[165],"also":[166],"experimentally":[167],"prove":[168],"effectiveness":[170],"via":[181],"ablation":[182],"study.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-24T08:02:53.985720","created_date":"2022-02-24T00:00:00"}