Exploration of transe in a distributed environment

Meiyan Lu, Lejian Liao, Feng Zhang, Dandan Song

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2 引用 (Scopus)
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摘要

Knowledge graph is popular in knowledge mining fields. TransE uses the structure information of triples (-?eh + -?er ˜ -?et) to embed knowledge graphs into a continuous vector space, which is a very important component in knowledge representations. However, current TransE models are only implemented on single-node machines. With the explosive growth of data volumes, single-node TransE cannot meet the demand for data processing of large knowledge graphs, so a distributed TransE is urgently needed. In this poster, we propose a distributed TransE written in MPI, which can run on HPC clusters. In our experiments, our distributed TransE exhibits high-performance speedup and accuracy.

源语言英语
主期刊名Proceedings - 2020 IEEE 40th International Conference on Distributed Computing Systems, ICDCS 2020
出版商Institute of Electrical and Electronics Engineers Inc.
1173-1174
页数2
ISBN(电子版)9781728170022
DOI
出版状态已出版 - 11月 2020
活动40th IEEE International Conference on Distributed Computing Systems, ICDCS 2020 - Singapore, 新加坡
期限: 29 11月 20201 12月 2020

出版系列

姓名Proceedings - International Conference on Distributed Computing Systems
2020-November

会议

会议40th IEEE International Conference on Distributed Computing Systems, ICDCS 2020
国家/地区新加坡
Singapore
时期29/11/201/12/20

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引用此

Lu, M., Liao, L., Zhang, F., & Song, D. (2020). Exploration of transe in a distributed environment. 在 Proceedings - 2020 IEEE 40th International Conference on Distributed Computing Systems, ICDCS 2020 (页码 1173-1174). 文章 09355803 (Proceedings - International Conference on Distributed Computing Systems; 卷 2020-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDCS47774.2020.00190