Feature Interaction for Temporal Knowledge Graph Extrapolation
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-5618-6_32
Reference42 articles.
1. Bai, L., Ma, X., Zhang, M., Yu, W.: TPmod: a tendency-guided prediction model for temporal knowledge graph completion 15, 1–17 (2021)
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3. Chen, K., Wang, Y., Li, A., Li, C., Zhao, X., Ding, R.: Learning knowledge graph embedding in semantic space: a novel bi-linear semantic matching method, pp. 1–8 (2021)
4. Chen, X., Pan, J., Lu, J., Fan, Z., Li, H.: Hybrid CNN-transformer feature fusion for single image deraining. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 37, pp. 378–386 (2023)
5. Dettmers, T., Minervini, P., Stenetorp, P., Riedel, S.: Convolutional 2D knowledge graph embeddings, pp. 1811–1818. abs/1707.01476 (2018)
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