An Entity Alignment Method Based on Graph Attention Network with Pre-classification

Author:

Huang Wenqi,Liang Lingyu,Liang Yongjie,Dai Zhen,Hou Jiaxuan,Li Xuanang,Wang Xin,Chen Xin

Publisher

Springer Nature Singapore

Reference22 articles.

1. Wang, Y., Luo, S., Yang, Y.: A survey on knowledge graph visualization. J. Comp.-Aided Des. Comp. Graphs 31(10), 1666–1676 (2019)

2. Zhuang, Y., Li, G., Zhong, Z.: Hike: a hybrid human-machine method for entity alignment in large-scale knowledge bases. In: 26th ACM International Conference on Information and Knowledge Management, pp. 1917–1926 (2017)

3. Liu, Z., Sun, M., Lin, Y.: Research progress in knowledge representation learning. Comp. Res. Dev. 53(2), 247–261 (2016)

4. Tian, J., Li, J., Liu, Q.: GCN-based entity alignment algorithm combined with attribute structure. Appl. Res. Comp. 38(7), 1979–1992 (2021)

5. Bordes, A., Usunier, N., Garcia-Durán, A.: Translating embeddings for modeling multi-relational data. In: 26th International Conference on Neural Information Processing Systems, pp. 2787–2795 (2013)

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