Adaptive knowledge subgraph ensemble for robust and trustworthy knowledge graph completion-Reference-Cited by-同舟云学术

Adaptive knowledge subgraph ensemble for robust and trustworthy knowledge graph completion

Published:2019-10-15 Issue:1 Volume:23 Page:471-490
ISSN:1386-145X
Container-title:World Wide Web
language:en
Short-container-title:World Wide Web

Author:

Wan Guojia,Du Bo,Pan Shirui,Wu Jia

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Link

http://link.springer.com/content/pdf/10.1007/s11280-019-00711-y.pdf

Reference42 articles.

1. Bollacker, K.D., Evans, C., Paritosh, P., Sturge, T., Taylor, J.: Freebase: a collaboratively created graph database for structuring human knowledge. In: SIGMOD, pp. 1247–1250 (2008)

2. Bordes, A., Usunier, N., García-durán, A., Weston, J., Yakhnenko, O.: Translating embeddings for modeling multi-relational data. In: NIPS, pp. 2787–2795 (2013)

3. Breiman, L.: Bagging predictors. Mach. Learn. 24(2), 123–140 (1996)

4. Dettmers, T., Minervini, P., Stenetorp, P., Riedel, S.: Convolutional 2D knowledge graph embeddings. In: AAAI, pp. 1811–1818 (2018)

5. Freund, Y., Schapire, R.E.: A decision-theoretic generalization of on-line learning and an application to boosting. J. Comput. Syst. Sci. 55(1), 119–139 (1997)

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Triplet-aware graph neural networks for factorized multi-modal knowledge graph entity alignment;Neural Networks;2024-11

2. Generalizable inductive relation prediction with causal subgraph;World Wide Web;2024-04-12

3. Infer the missing facts of D3FEND using knowledge graph representation learning;International Journal of Web Information Systems;2023-08-16

4. An End-to-End Training Method to Ensemble Bi-Linear Models for Knowledge Graph Completion;2023 International Conference on Machine Learning and Cybernetics (ICMLC);2023-07-09

5. Worldwide COVID-19 Topic Knowledge Graph Analysis From Social Media;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18