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Knowledge Graph (KG) embedding has attracted more attention in recent years.
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Wang, Z., Zhang, J., Feng, J., Chen, Z.: Knowledge graph embedding by translating on hyperplanes. In: AAAI. pp. 1112–1119. Citeseer (2014)
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He, S., Liu, K., Ji, G., Zhao, J.: Learning to represent knowledge graphs with gaussian embedding. In: Proceedings of the 24th ACM International on Conference on Information and Knowledge Management. pp. 623–632. ACM (2015)
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2015
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Yang, B., Yih, W.t., He, X., Gao, J., Deng, L.: Embedding entities and relations for learning and inference in knowledge bases. In: ICLR. p. 12 (2015)
2015
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Jiang, T., Liu, T., Ge, T., Sha, L., Chang, B., Li, S., Sui, Z.: Towards time-aware knowledge graph completion. In: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers. pp. 1715–1724 (2016)
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Trouillon, T., Welbl, J., Riedel, S., Gaussier, É., Bouchard, G.: Complex embeddings for simple link prediction. In: Proceedings of ICML (2016)
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Trivedi, R., Dai, H., Wang, Y., Song, L.: Know-evolve: Deep temporal reasoning for dynamic knowledge graphs. In: ICML (2017)
2017
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Wang, Q., Mao, Z., Wang, B., Guo, L.: Knowledge graph embedding: A survey of approaches and applications. IEEE Transactions on Knowledge and Data Engineering 29
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Leblay, J., Chekol, M.W.: Deriving validity time in knowledge graph. In: Companion of the The Web Conference 2018 on The Web Conference 2018. pp. 1771–1776. International World Wide Web Conferences Steering Committee (2018)
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Jin, W., Jiang, H., Qu, M., Chen, T., Zhang, C., Szekely, P., Ren, X.: Recurrent event network: Global structure inference over temporal knowledge graph. arXiv: 1904.05530 (2019)
2019
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Nayyeri, M., Xu, C., Yaghoobzadeh, Y., Yazdi, H.S., Lehmann, J.: Toward understanding the effect of loss function on the performance of knowledge graph embedding (2019)
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Sun, Z., Deng, Z.H., Nie, J.Y., Tang, J.: Rotate: Knowledge graph embedding by relational rotation in complex space. In: ICLR (2019)
2019
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Zhang, S., Tay, Y., Yao, L., Liu, Q.: Quaternion knowledge graph embeddings. In: Advances in Neural Information Processing Systems. pp. 2731–2741 (2019)
2019
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Goel, R., Kazemi, S.M., Brubaker, M., Poupart, P.: Diachronic embedding for temporal knowledge graph completion. In: AAAI (2020)
2020
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