{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T06:15:01Z","timestamp":1775283301600,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":21,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,7,25]],"date-time":"2020-07-25T00:00:00Z","timestamp":1595635200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,7,25]]},"DOI":"10.1145\/3397271.3401172","type":"proceedings-article","created":{"date-parts":[[2020,7,25]],"date-time":"2020-07-25T07:50:08Z","timestamp":1595663408000},"page":"739-748","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":119,"title":["DGL-KE"],"prefix":"10.1145","author":[{"given":"Da","family":"Zheng","sequence":"first","affiliation":[{"name":"AWS AI, Palo Alto, CA, USA"}]},{"given":"Xiang","family":"Song","sequence":"additional","affiliation":[{"name":"AWS Shanghai AI Lab, Shanghai, China"}]},{"given":"Chao","family":"Ma","sequence":"additional","affiliation":[{"name":"AWS Shanghai AI Lab, Shanghai, China"}]},{"given":"Zeyuan","family":"Tan","sequence":"additional","affiliation":[{"name":"AWS Shanghai AI Lab, Shanghai, China"}]},{"given":"Zihao","family":"Ye","sequence":"additional","affiliation":[{"name":"AWS Shanghai AI Lab, Shanghai, China"}]},{"given":"Jin","family":"Dong","sequence":"additional","affiliation":[{"name":"McGill University, Montreal, Canada"}]},{"given":"Hao","family":"Xiong","sequence":"additional","affiliation":[{"name":"AWS Shanghai AI Lab, Shanghai, China"}]},{"given":"Zheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"AWS Shanghai AI Lab, Shanghai, China"}]},{"given":"George","family":"Karypis","sequence":"additional","affiliation":[{"name":"AWS AI, Palo Alto, CA, USA"}]}],"member":"320","published-online":{"date-parts":[[2020,7,25]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1376616.1376746"},{"key":"e_1_3_2_2_2_1","volume-title":"Advances in Neural Information Processing Systems 26.","author":"Bordes Antoine","year":"2013","unstructured":"Antoine Bordes , Nicolas Usunier , Alberto Garcia-Duran , Jason Weston , and Oksana Yakhnenko . Translating embeddings for modeling multi-relational data . In Advances in Neural Information Processing Systems 26. 2013 . Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, and Oksana Yakhnenko. Translating embeddings for modeling multi-relational data. In Advances in Neural Information Processing Systems 26. 2013."},{"key":"e_1_3_2_2_3_1","volume-title":"Mxnet: A flexible and efficient machine learning library for heterogeneous distributed systems. CoRR, abs\/1512.01274","author":"Chen Tianqi","year":"2015","unstructured":"Tianqi Chen , Mu Li , Yutian Li , Min Lin , Naiyan Wang , Minjie Wang , Tianjun Xiao , Bing Xu , Chiyuan Zhang , and Zheng Zhang . Mxnet: A flexible and efficient machine learning library for heterogeneous distributed systems. CoRR, abs\/1512.01274 , 2015 . Tianqi Chen, Mu Li, Yutian Li, Min Lin, Naiyan Wang, Minjie Wang, Tianjun Xiao, Bing Xu, Chiyuan Zhang, and Zheng Zhang. Mxnet: A flexible and efficient machine learning library for heterogeneous distributed systems. CoRR, abs\/1512.01274, 2015."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2018.03.022"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-2024"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1137\/S1064827595287997"},{"key":"e_1_3_2_2_7_1","unstructured":"Knowledge graph datasets in OpenKE 2019 (accessed August 3 2019).  Knowledge graph datasets in OpenKE 2019 (accessed August 3 2019)."},{"key":"e_1_3_2_2_8_1","volume-title":"Analysis of the impact of negative sampling on link prediction in knowledge graphs","author":"Kotnis Bhushan","year":"2017","unstructured":"Bhushan Kotnis and Vivi Nastase . Analysis of the impact of negative sampling on link prediction in knowledge graphs , 2017 . Bhushan Kotnis and Vivi Nastase. Analysis of the impact of negative sampling on link prediction in knowledge graphs, 2017."},{"key":"e_1_3_2_2_9_1","volume-title":"Pytorch-biggraph: A large-scale graph embedding system. CoRR, abs\/1903.12287","author":"Lerer Adam","year":"2019","unstructured":"Adam Lerer , Ledell Wu , Jiajun Shen , Timoth\u00e9e Lacroix , Luca Wehrstedt , Abhijit Bose , and Alexander Peysakhovich . Pytorch-biggraph: A large-scale graph embedding system. CoRR, abs\/1903.12287 , 2019 . Adam Lerer, Ledell Wu, Jiajun Shen, Timoth\u00e9e Lacroix, Luca Wehrstedt, Abhijit Bose, and Alexander Peysakhovich. Pytorch-biggraph: A large-scale graph embedding system. CoRR, abs\/1903.12287, 2019."},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.5555\/2886521.2886624"},{"key":"e_1_3_2_2_11_1","volume-title":"Wordnet: A lexical database for english. Communications of the ACM, 38(11)","author":"Miller George A.","year":"1995","unstructured":"George A. Miller . Wordnet: A lexical database for english. Communications of the ACM, 38(11) , 1995 . George A. Miller. Wordnet: A lexical database for english. Communications of the ACM, 38(11), 1995."},{"key":"e_1_3_2_2_12_1","volume-title":"Proceedings of the 28th International Conference on International Conference on Machine Learning, ICML'11","author":"Nickel Maximilian","year":"2011","unstructured":"Maximilian Nickel , Volker Tresp , and Hans-Peter Kriegel . A three-way model for collective learning on multi-relational data . In Proceedings of the 28th International Conference on International Conference on Machine Learning, ICML'11 , 2011 . Maximilian Nickel, Volker Tresp, and Hans-Peter Kriegel. A three-way model for collective learning on multi-relational data. In Proceedings of the 28th International Conference on International Conference on Machine Learning, ICML'11, 2011."},{"key":"e_1_3_2_2_13_1","volume-title":"NIPS Autodiff Workshop","author":"Paszke Adam","year":"2017","unstructured":"Adam Paszke , Sam Gross , Soumith Chintala , Gregory Chanan , Edward Yang , Zachary DeVito , Zeming Lin , Alban Desmaison , Luca Antiga , and Adam Lerer . Automatic differentiation in PyTorch . In NIPS Autodiff Workshop , 2017 . Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer. Automatic differentiation in PyTorch. In NIPS Autodiff Workshop, 2017."},{"key":"e_1_3_2_2_14_1","volume-title":"Advances in Neural Information Processing Systems 24.","author":"Recht Benjamin","year":"2011","unstructured":"Benjamin Recht , Christopher Re , Stephen Wright , and Feng Niu . Hogwild: A lock-free approach to parallelizing stochastic gradient descent . In Advances in Neural Information Processing Systems 24. 2011 . Benjamin Recht, Christopher Re, Stephen Wright, and Feng Niu. Hogwild: A lock-free approach to parallelizing stochastic gradient descent. In Advances in Neural Information Processing Systems 24. 2011."},{"key":"e_1_3_2_2_15_1","volume-title":"RotatE: Knowledge graph embedding by relational rotation in complex space. CoRR, abs\/1902.10197","author":"Sun Zhiqing","year":"2019","unstructured":"Zhiqing Sun , Zhi-Hong Deng , Jian-Yun Nie , and Jian Tang . RotatE: Knowledge graph embedding by relational rotation in complex space. CoRR, abs\/1902.10197 , 2019 . Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, and Jian Tang. RotatE: Knowledge graph embedding by relational rotation in complex space. CoRR, abs\/1902.10197, 2019."},{"key":"e_1_3_2_2_16_1","volume-title":"Complex embeddings for simple link prediction. CoRR, abs\/1606.06357","author":"Trouillon Th\u00e9o","year":"2016","unstructured":"Th\u00e9o Trouillon , Johannes Welbl , Sebastian Riedel , \u00c9ric Gaussier , and Guillaume Bouchard . Complex embeddings for simple link prediction. CoRR, abs\/1606.06357 , 2016 . Th\u00e9o Trouillon, Johannes Welbl, Sebastian Riedel, \u00c9ric Gaussier, and Guillaume Bouchard. Complex embeddings for simple link prediction. CoRR, abs\/1606.06357, 2016."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2754499"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2754499"},{"key":"e_1_3_2_2_19_1","volume-title":"Deep graph library: Towards efficient and scalable deep learning on graphs","author":"Wang Minjie","year":"2019","unstructured":"Minjie Wang , Lingfan Yu , Da Zheng , Quan Gan , Yu Gai , Zihao Ye , Mufei Li , Jinjing Zhou , Qi Huang , Chao Ma , Ziyue Huang , Qipeng Guo , Hao Zhang , Haibin Lin , Junbo Zhao , Jinyang Li , Alexander Smola , and Zheng Zhang . Deep graph library: Towards efficient and scalable deep learning on graphs , 2019 . Minjie Wang, Lingfan Yu, Da Zheng, Quan Gan, Yu Gai, Zihao Ye, Mufei Li, Jinjing Zhou, Qi Huang, Chao Ma, Ziyue Huang, Qipeng Guo, Hao Zhang, Haibin Lin, Junbo Zhao, Jinyang Li, Alexander Smola, and Zheng Zhang. Deep graph library: Towards efficient and scalable deep learning on graphs, 2019."},{"key":"e_1_3_2_2_20_1","volume-title":"Proceedings of the International Conference on Learning Representations (ICLR) 2015","author":"Yang Bishan","year":"2015","unstructured":"Bishan Yang , Scott Wen-tau Yih , Xiaodong He , Jianfeng Gao , and Li Deng . Embedding entities and relations for learning and inference in knowledge bases . In Proceedings of the International Conference on Learning Representations (ICLR) 2015 , May 2015 . Bishan Yang, Scott Wen-tau Yih, Xiaodong He, Jianfeng Gao, and Li Deng. Embedding entities and relations for learning and inference in knowledge bases. In Proceedings of the International Conference on Learning Representations (ICLR) 2015, May 2015."},{"key":"e_1_3_2_2_21_1","volume-title":"Graphvite: A high performance CPU-GPU hybrid system for node embedding. CoRR, abs\/1903.00757","author":"Zhu Zhaocheng","year":"2019","unstructured":"Zhaocheng Zhu , Shizhen Xu , Meng Qu , and Jian Tang . Graphvite: A high performance CPU-GPU hybrid system for node embedding. CoRR, abs\/1903.00757 , 2019 . Zhaocheng Zhu, Shizhen Xu, Meng Qu, and Jian Tang. Graphvite: A high performance CPU-GPU hybrid system for node embedding. CoRR, abs\/1903.00757, 2019."}],"event":{"name":"SIGIR '20: The 43rd International ACM SIGIR conference on research and development in Information Retrieval","location":"Virtual Event China","acronym":"SIGIR '20","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3397271.3401172","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3397271.3401172","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:41:43Z","timestamp":1750200103000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3397271.3401172"}},"subtitle":["Training Knowledge Graph Embeddings at Scale"],"short-title":[],"issued":{"date-parts":[[2020,7,25]]},"references-count":21,"alternative-id":["10.1145\/3397271.3401172","10.1145\/3397271"],"URL":"https:\/\/doi.org\/10.1145\/3397271.3401172","relation":{},"subject":[],"published":{"date-parts":[[2020,7,25]]},"assertion":[{"value":"2020-07-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}