{"id":"https://openalex.org/W2970572890","doi":"https://doi.org/10.18653/v1/d19-1268","title":"Representation Learning with Ordered Relation Paths for Knowledge Graph Completion","display_name":"Representation Learning with Ordered Relation Paths for Knowledge Graph Completion","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2970572890","doi":"https://doi.org/10.18653/v1/d19-1268","mag":"2970572890"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-1268","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1268","pdf_url":"https://www.aclweb.org/anthology/D19-1268.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D19-1268.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101567070","display_name":"Yao Zhu","orcid":"https://orcid.org/0009-0000-6731-4475"},"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":true,"raw_author_name":"Yao Zhu","raw_affiliation_strings":["Center for Data Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Center for Data Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100679042","display_name":"Hongzhi Liu","orcid":"https://orcid.org/0000-0001-6216-0796"},"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":"Hongzhi Liu","raw_affiliation_strings":["School of Software and Microelectronics, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software and Microelectronics, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041563693","display_name":"Zhonghai Wu","orcid":"https://orcid.org/0000-0003-1268-836X"},"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":"Zhonghai Wu","raw_affiliation_strings":["Key Lab of High Confidence Software Technologies (MOE), Peking University, Beijing, China","National Engineering Center of Software Engineering, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Lab of High Confidence Software Technologies (MOE), Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"National Engineering Center of Software Engineering, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083873109","display_name":"Yang Song","orcid":"https://orcid.org/0000-0002-1714-5527"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang Song","raw_affiliation_strings":["BossZhipin NLP Center"],"affiliations":[{"raw_affiliation_string":"BossZhipin NLP Center","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076310461","display_name":"Tao Zhang","orcid":"https://orcid.org/0000-0002-8440-9924"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao Zhang","raw_affiliation_strings":["BossZhipin NLP Center"],"affiliations":[{"raw_affiliation_string":"BossZhipin NLP Center","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101567070"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":1.1201,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.83896087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2662","last_page":"2671"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9932000041007996,"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/relation","display_name":"Relation (database)","score":0.639839768409729},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6355377435684204},{"id":"https://openalex.org/keywords/zh\u00e0ng","display_name":"Zh\u00e0ng","score":0.6236076951026917},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5882411003112793},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5425610542297363},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5156310796737671},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49624353647232056},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4751869738101959},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3897084593772888},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1218850314617157},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.11473521590232849},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.10170698165893555}],"concepts":[{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.639839768409729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6355377435684204},{"id":"https://openalex.org/C2777045944","wikidata":"https://www.wikidata.org/wiki/Q12170198","display_name":"Zh\u00e0ng","level":3,"score":0.6236076951026917},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5882411003112793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5425610542297363},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5156310796737671},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49624353647232056},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4751869738101959},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3897084593772888},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1218850314617157},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.11473521590232849},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.10170698165893555},{"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},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d19-1268","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1268","pdf_url":"https://www.aclweb.org/anthology/D19-1268.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d19-1268","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1268","pdf_url":"https://www.aclweb.org/anthology/D19-1268.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2970572890.pdf","grobid_xml":"https://content.openalex.org/works/W2970572890.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W68132019","https://openalex.org/W1426956448","https://openalex.org/W1552847225","https://openalex.org/W1852412531","https://openalex.org/W1934264538","https://openalex.org/W2022166150","https://openalex.org/W2081580037","https://openalex.org/W2094728533","https://openalex.org/W2127795553","https://openalex.org/W2145544171","https://openalex.org/W2184957013","https://openalex.org/W2247119764","https://openalex.org/W2250911766","https://openalex.org/W2251287417","https://openalex.org/W2283196293","https://openalex.org/W2432356473","https://openalex.org/W2433281745","https://openalex.org/W2460319482","https://openalex.org/W2556343638","https://openalex.org/W2612900438","https://openalex.org/W2791033809","https://openalex.org/W2792285786","https://openalex.org/W2793488029","https://openalex.org/W2909137510","https://openalex.org/W2949434543","https://openalex.org/W2949972983","https://openalex.org/W2957264701","https://openalex.org/W2963380480","https://openalex.org/W2963429666","https://openalex.org/W2963432357","https://openalex.org/W2963503534","https://openalex.org/W2964140943","https://openalex.org/W3101896416","https://openalex.org/W4386506836"],"related_works":["https://openalex.org/W2364559953","https://openalex.org/W2375840727","https://openalex.org/W2389678104","https://openalex.org/W2375137083","https://openalex.org/W2380507695","https://openalex.org/W2367687999","https://openalex.org/W2387562377","https://openalex.org/W2384722335","https://openalex.org/W2376544228","https://openalex.org/W2371486229"],"abstract_inverted_index":{"Yao":[0],"Zhu,":[1],"Hongzhi":[2],"Liu,":[3],"Zhonghai":[4],"Wu,":[5],"Yang":[6],"Song,":[7],"Tao":[8],"Zhang.":[9],"Proceedings":[10],"of":[11],"the":[12,23],"2019":[13],"Conference":[14,27],"on":[15,28],"Empirical":[16],"Methods":[17],"in":[18],"Natural":[19,29],"Language":[20,30],"Processing":[21,31],"and":[22],"9th":[24],"International":[25],"Joint":[26],"(EMNLP-IJCNLP).":[32],"2019.":[33]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2026-01-10T23:39:48.068659","created_date":"2025-10-10T00:00:00"}
