An End-to-End Training Method to Ensemble Bi-Linear Models for Knowledge Graph Completion-Reference-Cited by-同舟云学术

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An End-to-End Training Method to Ensemble Bi-Linear Models for Knowledge Graph Completion

Published:2023-07-09 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Machine Learning and Cybernetics (ICMLC)
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Author:

Cen Si¹,Liu Han¹,Liu Chao¹,Zou Xiaoying¹,Dai Guoquan¹,Wang Xizhao¹

Affiliation:

1. College of Computer Science and Software Engineering, Shenzhen University,Shenzhen,China,518060

Funder

Natural Science Foundation of Guangdong Province

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10327787/10327919/10327968.pdf?arnumber=10327968

Reference21 articles.

1. Bagging predictors

2. Ensemble Methods

3. Experiments with a new boosting algorithm;freund;Machine Learning Proceedings of the Thirteenth International Conference,1996

4. The random subspace method for constructing decision forests;ho;IEEE Transactions on Pattern Analysis and Machine Intelligence,1998

5. AutoSF: Searching Scoring Functions for Knowledge Graph Embedding

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