{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T08:40:35Z","timestamp":1770540035240,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":36,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,17]],"date-time":"2022-10-17T00:00:00Z","timestamp":1665964800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Beijing Academy of Artificial Intelligence"},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61872172"],"award-info":[{"award-number":["61872172"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,10,17]]},"DOI":"10.1145\/3511808.3557355","type":"proceedings-article","created":{"date-parts":[[2022,10,16]],"date-time":"2022-10-16T01:29:57Z","timestamp":1665883797000},"page":"1329-1338","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":16,"title":["I Know What You Do Not Know"],"prefix":"10.1145","author":[{"given":"Yang","family":"Liu","sequence":"first","affiliation":[{"name":"Nanjing University, Nanjing, China"}]},{"given":"Zequn","family":"Sun","sequence":"additional","affiliation":[{"name":"Nanjing University, Nanjing, China"}]},{"given":"Guangyao","family":"Li","sequence":"additional","affiliation":[{"name":"Nanjing University, Nanjing, China"}]},{"given":"Wei","family":"Hu","sequence":"additional","affiliation":[{"name":"Nanjing University, Nanjing, China"}]}],"member":"320","published-online":{"date-parts":[[2022,10,17]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Hospedales","author":"Balazevic Ivana","year":"2019","unstructured":"Ivana Balazevic , Carl Allen , and Timothy M . Hospedales . 2019 . TuckER: Tensor Factorization for Knowledge Graph Completion. In EMNLP-IJCNLP. ACL, Hong Kong, China , 5184--5193. Ivana Balazevic, Carl Allen, and Timothy M. Hospedales. 2019. TuckER: Tensor Factorization for Knowledge Graph Completion. In EMNLP-IJCNLP. ACL, Hong Kong, China, 5184--5193."},{"key":"e_1_3_2_1_2_1","volume-title":"Jason Weston, and Oksana Yakhnenko.","author":"Bordes Antoine","year":"2013","unstructured":"Antoine Bordes , Nicolas Usunier , Alberto Garc\u00eda-Dur\u00e1 n , Jason Weston, and Oksana Yakhnenko. 2013 . Translating Embeddings for Modeling Multi-relational Data. In NIPS. Curran Associates, Inc., Lake Tahoe, NV, USA , 2787--2795. Antoine Bordes, Nicolas Usunier, Alberto Garc\u00eda-Dur\u00e1 n, Jason Weston, and Oksana Yakhnenko. 2013. Translating Embeddings for Modeling Multi-relational Data. In NIPS. Curran Associates, Inc., Lake Tahoe, NV, USA, 2787--2795."},{"key":"e_1_3_2_1_3_1","volume-title":"Dual Quaternion Knowledge Graph Embeddings","author":"Cao Zongsheng","unstructured":"Zongsheng Cao , Qianqian Xu , Zhiyong Yang , Xiaochun Cao , and Qingming Huang . 2021. Dual Quaternion Knowledge Graph Embeddings . In AAAI. AAAI Press , online, 6894--6902. Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, and Qingming Huang. 2021. Dual Quaternion Knowledge Graph Embeddings. In AAAI. AAAI Press, online, 6894--6902."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Ines Chami Adva Wolf Da-Cheng Juan Frederic Sala Sujith Ravi and Christopher R\u00e9. 2020. Low-Dimensional Hyperbolic Knowledge Graph Embeddings. In ACL. ACL online 6901--6914.  Ines Chami Adva Wolf Da-Cheng Juan Frederic Sala Sujith Ravi and Christopher R\u00e9. 2020. Low-Dimensional Hyperbolic Knowledge Graph Embeddings. In ACL. ACL online 6901--6914.","DOI":"10.18653\/v1\/2020.acl-main.617"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"Sanxing Chen Xiaodong Liu Jianfeng Gao Jian Jiao Ruofei Zhang and Yangfeng Ji. 2021. HittER: Hierarchical Transformers for Knowledge Graph Embeddings. In EMNLP. ACL online 10395--10407.  Sanxing Chen Xiaodong Liu Jianfeng Gao Jian Jiao Ruofei Zhang and Yangfeng Ji. 2021. HittER: Hierarchical Transformers for Knowledge Graph Embeddings. In EMNLP. ACL online 10395--10407.","DOI":"10.18653\/v1\/2021.emnlp-main.812"},{"key":"e_1_3_2_1_6_1","volume-title":"MLMLM: Link Prediction with Mean Likelihood Masked Language Model. In Findings of ACL. ACL, online, 4321--4331.","author":"Louis Clou\u00e2","year":"2021","unstructured":"Louis Clou\u00e2 tre, Philippe Trempe , Amal Zouaq , and Sarath Chandar . 2021 . MLMLM: Link Prediction with Mean Likelihood Masked Language Model. In Findings of ACL. ACL, online, 4321--4331. Louis Clou\u00e2 tre, Philippe Trempe, Amal Zouaq, and Sarath Chandar. 2021. MLMLM: Link Prediction with Mean Likelihood Masked Language Model. In Findings of ACL. ACL, online, 4321--4331."},{"key":"e_1_3_2_1_7_1","volume-title":"Convolutional Complex Knowledge Graph Embeddings","author":"Demir Caglar","unstructured":"Caglar Demir and Axel-Cyrille Ngonga Ngomo . 2021. Convolutional Complex Knowledge Graph Embeddings . In ESWC. Springer , Hersonissos, Greece , 409--424. Caglar Demir and Axel-Cyrille Ngonga Ngomo. 2021. Convolutional Complex Knowledge Graph Embeddings. In ESWC. Springer, Hersonissos, Greece, 409--424."},{"key":"e_1_3_2_1_8_1","volume-title":"Convolutional 2D Knowledge Graph Embeddings","author":"Dettmers Tim","year":"1811","unstructured":"Tim Dettmers , Pasquale Minervini , Pontus Stenetorp , and Sebastian Riedel . 2018. Convolutional 2D Knowledge Graph Embeddings . In AAAI. AAAI Press , New Orleans , Louisiana, USA, 1811 --1818. Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, and Sebastian Riedel. 2018. Convolutional 2D Knowledge Graph Embeddings. In AAAI. AAAI Press, New Orleans, Louisiana, USA, 1811--1818."},{"key":"e_1_3_2_1_9_1","volume-title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL","author":"Devlin Jacob","year":"2019","unstructured":"Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2019 . BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL . ACL , Minneapolis, MN, USA , 4171--4186. Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL. ACL, Minneapolis, MN, USA, 4171--4186."},{"key":"e_1_3_2_1_10_1","volume-title":"Fr\u00e9 d\u00e9 rique Laforest, and Elena Simperl","author":"ElSahar Hady","year":"2018","unstructured":"Hady ElSahar , Pavlos Vougiouklis , Arslen Remaci , Christophe Gravier , Jonathon S. Hare , Fr\u00e9 d\u00e9 rique Laforest, and Elena Simperl . 2018 . T-REx: A Large Scale Alignment of Natural Language with Knowledge Base Triples. In LREC. ELRA, Miyazaki, Japan , 3448--3452. Hady ElSahar, Pavlos Vougiouklis, Arslen Remaci, Christophe Gravier, Jonathon S. Hare, Fr\u00e9 d\u00e9 rique Laforest, and Elena Simperl. 2018. T-REx: A Large Scale Alignment of Natural Language with Knowledge Base Triples. In LREC. ELRA, Miyazaki, Japan, 3448--3452."},{"key":"e_1_3_2_1_11_1","volume-title":"Suchanek","author":"Gal\u00e1rraga Luis","year":"2017","unstructured":"Luis Gal\u00e1rraga , Simon Razniewski , Antoine Amarilli , and Fabian M . Suchanek . 2017 . Predicting Completeness in Knowledge Bases. In WSDM. ACM, Cambridge, UK , 375--383. Luis Gal\u00e1rraga, Simon Razniewski, Antoine Amarilli, and Fabian M. Suchanek. 2017. Predicting Completeness in Knowledge Bases. In WSDM. ACM, Cambridge, UK, 375--383."},{"key":"e_1_3_2_1_12_1","volume-title":"ICML","author":"Guo Lingbing","unstructured":"Lingbing Guo , Zequn Sun , and Wei Hu. 2019. Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs . In ICML . PMLR , Long Beach, CA, USA , 2505--2514. Lingbing Guo, Zequn Sun, and Wei Hu. 2019. Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs. In ICML. PMLR, Long Beach, CA, USA, 2505--2514."},{"key":"e_1_3_2_1_13_1","volume-title":"EMNLP System Demonstrations","author":"Han Xu","unstructured":"Xu Han , Shulin Cao , Xin Lv , Yankai Lin , Zhiyuan Liu , Maosong Sun , and Juanzi Li. 2018. OpenKE: An Open Toolkit for Knowledge Embedding . In EMNLP System Demonstrations . ACL , Brussels, Belgium , 139--144. Xu Han, Shulin Cao, Xin Lv, Yankai Lin, Zhiyuan Liu, Maosong Sun, and Juanzi Li. 2018. OpenKE: An Open Toolkit for Knowledge Embedding. In EMNLP System Demonstrations. ACL, Brussels, Belgium, 139--144."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3070843"},{"key":"e_1_3_2_1_15_1","unstructured":"Yankai Lin Zhiyuan Liu Huan-Bo Luan Maosong Sun Siwei Rao and Song Liu. 2015a. Modeling Relation Paths for Representation Learning of Knowledge Bases. In EMNLP. ACL Lisbon Portugal 705--714.  Yankai Lin Zhiyuan Liu Huan-Bo Luan Maosong Sun Siwei Rao and Song Liu. 2015a. Modeling Relation Paths for Representation Learning of Knowledge Bases. In EMNLP. ACL Lisbon Portugal 705--714."},{"key":"e_1_3_2_1_16_1","volume-title":"Learning Entity and Relation Embeddings for Knowledge Graph Completion","author":"Lin Yankai","unstructured":"Yankai Lin , Zhiyuan Liu , Maosong Sun , Yang Liu , and Xuan Zhu . 2015b. Learning Entity and Relation Embeddings for Knowledge Graph Completion . In AAAI. AAAI Press , Austin, Texas, USA , 2181--2187. Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, and Xuan Zhu. 2015b. Learning Entity and Relation Embeddings for Knowledge Graph Completion. In AAAI. AAAI Press, Austin, Texas, USA, 2181--2187."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","unstructured":"Xin Lv Yankai Lin Yixin Cao Lei Hou Juanzi Li Zhiyuan Liu Peng Li and Jie Zhou. 2022. Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable Approach. In Findings of ACL. ACL Dublin Ireland 3570--3581.  Xin Lv Yankai Lin Yixin Cao Lei Hou Juanzi Li Zhiyuan Liu Peng Li and Jie Zhou. 2022. Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable Approach. In Findings of ACL. ACL Dublin Ireland 3570--3581.","DOI":"10.18653\/v1\/2022.findings-acl.282"},{"key":"e_1_3_2_1_18_1","volume-title":"AKBC. OpenReview.net","author":"Nadkarni Rahul","unstructured":"Rahul Nadkarni , David Wadden , Iz Beltagy , Noah A. Smith , Hannaneh Hajishirzi , and Tom Hope . 2021. Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study . In AKBC. OpenReview.net , London, UK . Rahul Nadkarni, David Wadden, Iz Beltagy, Noah A. Smith, Hannaneh Hajishirzi, and Tom Hope. 2021. Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study. In AKBC. OpenReview.net, London, UK."},{"key":"e_1_3_2_1_19_1","volume-title":"Miller","author":"Petroni Fabio","year":"2019","unstructured":"Fabio Petroni , Tim Rockt\u00e4schel , Sebastian Riedel , Patrick S. H. Lewis , Anton Bakhtin , Yuxiang Wu , and Alexander H . Miller . 2019 . Language Models as Knowledge Bases?. In EMNLP-IJCNLP. ACL, Hong Kong, China , 2463--2473. Fabio Petroni, Tim Rockt\u00e4schel, Sebastian Riedel, Patrick S. H. Lewis, Anton Bakhtin, Yuxiang Wu, and Alexander H. Miller. 2019. Language Models as Knowledge Bases?. In EMNLP-IJCNLP. ACL, Hong Kong, China, 2463--2473."},{"key":"e_1_3_2_1_20_1","volume-title":"RDF2Vec: RDF Graph Embeddings for Data Mining","author":"Ristoski Petar","unstructured":"Petar Ristoski and Heiko Paulheim . 2016. RDF2Vec: RDF Graph Embeddings for Data Mining . In ISWC. Springer, Kobe , Japan , 498--514. Petar Ristoski and Heiko Paulheim. 2016. RDF2Vec: RDF Graph Embeddings for Data Mining. In ISWC. Springer, Kobe, Japan, 498--514."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3424672"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"crossref","unstructured":"Apoorv Saxena Adrian Kochsiek and Rainer Gemulla. 2022. Sequence-to-Sequence Knowledge Graph Completion and Question Answering. In ACL. ACL Dublin Ireland 2814--2828.  Apoorv Saxena Adrian Kochsiek and Rainer Gemulla. 2022. Sequence-to-Sequence Knowledge Graph Completion and Question Answering. In ACL. ACL Dublin Ireland 2814--2828.","DOI":"10.18653\/v1\/2022.acl-long.201"},{"key":"e_1_3_2_1_23_1","volume-title":"Modeling Relational Data with Graph Convolutional Networks","author":"Schlichtkrull Michael Sejr","unstructured":"Michael Sejr Schlichtkrull , Thomas N. Kipf , Peter Bloem , Rianne van den Berg , Ivan Titov , and Max Welling . 2018. Modeling Relational Data with Graph Convolutional Networks . In ESWC. Springer , Heraklion, Crete , Greece, 593--607. Michael Sejr Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, and Max Welling. 2018. Modeling Relational Data with Graph Convolutional Networks. In ESWC. Springer, Heraklion, Crete, Greece, 593--607."},{"key":"e_1_3_2_1_24_1","volume-title":"ICLR. OpenReview.net","author":"Sun Zhiqing","unstructured":"Zhiqing Sun , Zhi-Hong Deng , Jian-Yun Nie , and Jian Tang . 2019. RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space . In ICLR. OpenReview.net , New Orleans, LA, USA , 1--18. Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, and Jian Tang. 2019. RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space. In ICLR. OpenReview.net, New Orleans, LA, USA, 1--18."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"crossref","unstructured":"Kristina Toutanova Danqi Chen Patrick Pantel Hoifung Poon Pallavi Choudhury and Michael Gamon. 2015. Representing Text for Joint Embedding of Text and Knowledge Bases. In EMNLP. ACL Lisbon Portugal 1499--1509.  Kristina Toutanova Danqi Chen Patrick Pantel Hoifung Poon Pallavi Choudhury and Michael Gamon. 2015. Representing Text for Joint Embedding of Text and Knowledge Bases. In EMNLP. ACL Lisbon Portugal 1499--1509.","DOI":"10.18653\/v1\/D15-1174"},{"key":"e_1_3_2_1_26_1","volume-title":"ICML. PMLR","author":"Trouillon Th\u00e9o","year":"2071","unstructured":"Th\u00e9o Trouillon , Johannes Welbl , Sebastian Riedel , \u00c9ric Gaussier , and Guillaume Bouchard . 2016. Complex Embeddings for Simple Link Prediction . In ICML. PMLR , New York City, NY, USA , 2071 --2080. Th\u00e9o Trouillon, Johannes Welbl, Sebastian Riedel, \u00c9ric Gaussier, and Guillaume Bouchard. 2016. Complex Embeddings for Simple Link Prediction. In ICML. PMLR, New York City, NY, USA, 2071--2080."},{"key":"e_1_3_2_1_27_1","volume-title":"Talukdar","author":"Vashishth Shikhar","year":"2020","unstructured":"Shikhar Vashishth , Soumya Sanyal , Vikram Nitin , and Partha P . Talukdar . 2020 . Composition-based Multi-Relational Graph Convolutional Networks. In ICLR. OpenReview.net, Addis Ababa, Ethiopia , 1--16. Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, and Partha P. Talukdar. 2020. Composition-based Multi-Relational Graph Convolutional Networks. In ICLR. OpenReview.net, Addis Ababa, Ethiopia, 1--16."},{"key":"e_1_3_2_1_28_1","volume-title":"NIPS. Curran Associates","author":"Vaswani Ashish","unstructured":"Ashish Vaswani , Noam Shazeer , Niki Parmar , Jakob Uszkoreit , Llion Jones , Aidan N. Gomez , Lukasz Kaiser , and Illia Polosukhin . 2017. Attention is All you Need . In NIPS. Curran Associates , Inc., Long Beach, CA, USA , 5998--6008. Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017. Attention is All you Need. In NIPS. Curran Associates, Inc., Long Beach, CA, USA, 5998--6008."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"crossref","unstructured":"Bo Wang Tao Shen Guodong Long Tianyi Zhou Ying Wang and Yi Chang. 2021a. Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion. In WWW. ACM \/ IW3C2 Ljubljana Slovenia 1737--1748.  Bo Wang Tao Shen Guodong Long Tianyi Zhou Ying Wang and Yi Chang. 2021a. Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion. In WWW. ACM \/ IW3C2 Ljubljana Slovenia 1737--1748.","DOI":"10.1145\/3442381.3450043"},{"key":"e_1_3_2_1_30_1","volume-title":"CoKE: Contextualized Knowledge Graph Embedding. CoRR","author":"Wang Quan","year":"2019","unstructured":"Quan Wang , Pingping Huang , Haifeng Wang , Songtai Dai , Wenbin Jiang , Jing Liu , Yajuan Lyu , Yong Zhu , and Hua Wu. 2019. CoKE: Contextualized Knowledge Graph Embedding. CoRR , Vol. abs\/ 1911 .02168 ( 2019 ), 1--10. Quan Wang, Pingping Huang, Haifeng Wang, Songtai Dai, Wenbin Jiang, Jing Liu, Yajuan Lyu, Yong Zhu, and Hua Wu. 2019. CoKE: Contextualized Knowledge Graph Embedding. CoRR, Vol. abs\/1911.02168 (2019), 1--10."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2754499"},{"key":"e_1_3_2_1_32_1","volume-title":"Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu, and Isabel F. Cruz.","author":"Wang Shen","year":"2021","unstructured":"Shen Wang , Xiaokai Wei , C\u00edcero Nogueira dos Santos , Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu, and Isabel F. Cruz. 2021 b. Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion. In WWW. ACM, Ljubljana, Slovenia , 1761--1771. Shen Wang, Xiaokai Wei, C\u00edcero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu, and Isabel F. Cruz. 2021b. Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion. In WWW. ACM, Ljubljana, Slovenia, 1761--1771."},{"key":"e_1_3_2_1_33_1","volume-title":"Knowledge Graph Embedding by Translating on Hyperplanes","author":"Wang Zhen","unstructured":"Zhen Wang , Jianwen Zhang , Jianlin Feng , and Zheng Chen . 2014. Knowledge Graph Embedding by Translating on Hyperplanes . In AAAI. AAAI Press , Qu\u00e9bec City , Qu\u00e9bec, Canada, 1112--1119. Zhen Wang, Jianwen Zhang, Jianlin Feng, and Zheng Chen. 2014. Knowledge Graph Embedding by Translating on Hyperplanes. In AAAI. AAAI Press, Qu\u00e9bec City, Qu\u00e9bec, Canada, 1112--1119."},{"key":"e_1_3_2_1_34_1","volume-title":"KG-BERT: BERT for Knowledge Graph Completion. CoRR","author":"Yao Liang","year":"2019","unstructured":"Liang Yao , Chengsheng Mao , and Yuan Luo . 2019. KG-BERT: BERT for Knowledge Graph Completion. CoRR , Vol. abs\/ 1909 .03193 ( 2019 ), 1--8. Liang Yao, Chengsheng Mao, and Yuan Luo. 2019. KG-BERT: BERT for Knowledge Graph Completion. CoRR, Vol. abs\/1909.03193 (2019), 1--8."},{"key":"e_1_3_2_1_35_1","volume-title":"Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings. CoRR","author":"Zhang Ningyu","year":"2022","unstructured":"Ningyu Zhang , Xin Xie , Xiang Chen , Shumin Deng , Chuanqi Tan , Fei Huang , Xu Cheng , and Huajun Chen . 2022. Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings. CoRR , Vol. abs\/ 2201 .05575 ( 2022 ), 1--9. Ningyu Zhang, Xin Xie, Xiang Chen, Shumin Deng, Chuanqi Tan, Fei Huang, Xu Cheng, and Huajun Chen. 2022. Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings. CoRR, Vol. abs\/2201.05575 (2022), 1--9."},{"key":"e_1_3_2_1_36_1","volume-title":"Decoupled Knowledge Distillation. CoRR","author":"Zhao Borui","year":"2022","unstructured":"Borui Zhao , Quan Cui , Renjie Song , Yiyu Qiu , and Jiajun Liang . 2022. Decoupled Knowledge Distillation. CoRR , Vol. abs\/ 2203 .08679 ( 2022 ), 1--12. Borui Zhao, Quan Cui, Renjie Song, Yiyu Qiu, and Jiajun Liang. 2022. Decoupled Knowledge Distillation. CoRR, Vol. abs\/2203.08679 (2022), 1--12."}],"event":{"name":"CIKM '22: The 31st ACM International Conference on Information and Knowledge Management","location":"Atlanta GA USA","acronym":"CIKM '22","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 31st ACM International Conference on Information & Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3511808.3557355","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3511808.3557355","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:49:29Z","timestamp":1750182569000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3511808.3557355"}},"subtitle":["Knowledge Graph Embedding via Co-distillation Learning"],"short-title":[],"issued":{"date-parts":[[2022,10,17]]},"references-count":36,"alternative-id":["10.1145\/3511808.3557355","10.1145\/3511808"],"URL":"https:\/\/doi.org\/10.1145\/3511808.3557355","relation":{},"subject":[],"published":{"date-parts":[[2022,10,17]]},"assertion":[{"value":"2022-10-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}