Knowledge Graph Completion with Counterfactual Augmentation-Reference-Cited by-同舟云学术

Knowledge Graph Completion with Counterfactual Augmentation

Published:2023-04-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Web Conference 2023
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Author:

Chang Heng¹^ORCID,Cai Jie¹^ORCID,Li Jia²^ORCID

Affiliation:

1. Tsinghua University, China

2. Hong Kong University of Science and Technology (Guangzhou), China

Funder

NSFC Grant

HKUST-GZU Joint Research Collaboration Fund

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3543507.3583401

Reference58 articles.

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3. Serge Assaad , Shuxi Zeng , Chenyang Tao , Shounak Datta , Nikhil Mehta , Ricardo Henao , Fan Li , and Lawrence Carin Duke . 2021 . Counterfactual representation learning with balancing weights . In International Conference on Artificial Intelligence and Statistics. PMLR , 1972–1980. Serge Assaad, Shuxi Zeng, Chenyang Tao, Shounak Datta, Nikhil Mehta, Ricardo Henao, Fan Li, and Lawrence Carin Duke. 2021. Counterfactual representation learning with balancing weights. In International Conference on Artificial Intelligence and Statistics. PMLR, 1972–1980.

4. TuckER: Tensor Factorization for Knowledge Graph Completion

5. Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In Advances in Neural Information Processing Systems. 1–9. Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In Advances in Neural Information Processing Systems. 1–9.

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