Multi-hop neighbor fusion enhanced hierarchical transformer for multi-modal knowledge graph completion
Author:
Funder
The National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11280-024-01289-w.pdf
Reference37 articles.
1. Peng, C., Vu, D., Jung, J.J.: Knowledge graph-based metaphor representation for literature understanding. Digit. Scholarsh. Humanit. 36(3), 698–711 (2021). https://doi.org/10.1093/LLC/FQAA072
2. Peng, C., Vu, D., Jung, J.J.: Knowledge graph-based metaphor representation for literature understanding. Digit. Scholarsh. Humanit. 36(3), 698–711 (2021). https://doi.org/10.1093/LLC/FQAA072
3. Bai, L., Chen, M., Zhu, L., Meng, X.: Multi-hop temporal knowledge graph reasoning with temporal path rules guidance. Expert Syst. Appl. 223, 119804 (2023). https://doi.org/10.1016/J.ESWA.2023.119804
4. Chen, Z., Xu, C., Su, F., Huang, Z., Dou, Y.: Temporal extrapolation and knowledge transfer for lifelong temporal knowledge graph reasoning. In: Association for computational linguistics, pp. 6736–6746 (2023)
5. Saxena, A., Kochsiek, A., Gemulla, R.: Sequence-to-sequence knowledge graph completion and question answering. In: Association for computational linguistics, pp. 2814–2828 (2022). https://doi.org/10.18653/V1/2022.ACL-LONG.201
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