Knowledge Graph Entity Alignment Powered by Active Learning

Author:

Pan Jiayi,Zheng Weiguo

Publisher

Springer Nature Switzerland

Reference12 articles.

1. Bordes, A., Usunier, N., Garcia-Duran, A., Weston, J., Yakhnenko, O.: Translating embeddings for modeling multi-relational data. In: Advances in Neural Information Processing Systems, vol. 26 (2013)

2. Chen, M., Tian, Y., Yang, M., Zaniolo, C.: Multilingual knowledge graph embeddings for cross-lingual knowledge alignment. arXiv preprint arXiv:1611.03954 (2016)

3. Guo, L., Sun, Z., Hu, W.: Learning to exploit long-term relational dependencies in knowledge graphs. In: International Conference on Machine Learning, pp. 2505–2514. PMLR (2019)

4. Pei, S., Yu, L., Hoehndorf, R., Zhang, X.: Semi-supervised entity alignment via knowledge graph embedding with awareness of degree difference. In: The World Wide Web Conference, pp. 3130–3136 (2019)

5. Qian, K., Popa, L., Sen, P.: Active learning for large-scale entity resolution. In: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, pp. 1379–1388 (2017)

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