@inproceedings{3ac98f2bf1194c99813b8f97b4bd2731,
title = "Exploration of transe in a distributed environment",
abstract = "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.",
keywords = "Distributed TransE, Knowledge Graph, MPI",
author = "Meiyan Lu and Lejian Liao and Feng Zhang and Dandan Song",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 40th IEEE International Conference on Distributed Computing Systems, ICDCS 2020 ; Conference date: 29-11-2020 Through 01-12-2020",
year = "2020",
month = nov,
doi = "10.1109/ICDCS47774.2020.00190",
language = "English",
series = "Proceedings - International Conference on Distributed Computing Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1173--1174",
booktitle = "Proceedings - 2020 IEEE 40th International Conference on Distributed Computing Systems, ICDCS 2020",
address = "United States",
}