Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-source Knowledge Graphs

Author:

Sun Zequn1ORCID,Huang Jiacheng1ORCID,Lin Jinghao2ORCID,Xu Xiaozhou2ORCID,Chen Qijin2ORCID,Hu Wei1ORCID

Affiliation:

1. Nanjing University, Nanjing, China

2. Alibaba Group, Hangzhou, China

Funder

National Natural Science Foundation of China

Alibaba Group through Alibaba Research Fellowship Program

Publisher

ACM

Reference76 articles.

1. Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study

2. Ivana Balazevic , Carl Allen , and Timothy M. Hospedales . 2019. TuckER: Tensor Factorization for Knowledge Graph Completion . In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 5184--5193 . https://doi.org/10. 1865 3/v1/D19--1522 10.18653/v1 Ivana Balazevic, Carl Allen, and Timothy M. Hospedales. 2019. TuckER: Tensor Factorization for Knowledge Graph Completion. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 5184--5193. https://doi.org/10.18653/v1/D19--1522

3. Linked Data - The Story So Far

4. Freebase

5. Antoine Bordes , Nicolas Usunier , Alberto García-Durán , Jason Weston , and Oksana Yakhnenko . 2013 . Translating Embeddings for Modeling Multi-relational Data . In Proceedings of the 27th Conference on Neural Information Processing Systems (NeurIPS). 2787--2795 . https://proceedings.neurips.cc/paper/2013/hash/1cecc7a77928ca8133fa24680a88d2f9-Abstract.html Antoine Bordes, Nicolas Usunier, Alberto García-Durán, Jason Weston, and Oksana Yakhnenko. 2013. Translating Embeddings for Modeling Multi-relational Data. In Proceedings of the 27th Conference on Neural Information Processing Systems (NeurIPS). 2787--2795. https://proceedings.neurips.cc/paper/2013/hash/1cecc7a77928ca8133fa24680a88d2f9-Abstract.html

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