Abstract
In this paper, we propose a translation model on subgragh representing knowledge graph. The model builds an ensemble TransE model on subgraph divided by features of relations in triplets by training the model with different parts of dataset independently. Afterwards, experimental results on link prediction show improvements on parameters compared to the state-of-the-art baselines.
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Tan, Y., Li, R., Zhou, J., Zhu, S. (2019). Knowledge Graph Embedding by Translation Model on Subgraph. In: Tang, Y., Zu, Q., RodrÃguez GarcÃa, J. (eds) Human Centered Computing. HCC 2018. Lecture Notes in Computer Science(), vol 11354. Springer, Cham. https://doi.org/10.1007/978-3-030-15127-0_27
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DOI: https://doi.org/10.1007/978-3-030-15127-0_27
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