1. Entity alignment based on relational semantics augmentation for multilingual knowledge graphs;Akhtar;Knowledge-Based Systems,2022
2. Bordes, A., Usunier, N., Garcia-Duran, A., Weston, J., & Yakhnenko, O. (2013). Translating Embeddings for Modeling Multi-relational Data. In Advances in neural information processing systems 26: 27th annual conference on neural information processing systems 2013 (pp. 2787–2795).
3. Brody, S., Alon, U., & Yahav, E. (2022). How attentive are graph attention networks?. In International conference on learning representations.
4. Parame: Regarding neural network parameters as relation embeddings for knowledge graph completion;Che,2020
5. Chen, J., He, H., Wu, F., & Wang, J. (2021). Topology-aware correlations between relations for inductive link prediction in knowledge graphs. In Proceedings of the 35th AAAI conference on artificial intelligence (pp. 6271–6278).