Analogical Inference for Multi-Relational Embeddings

@inproceedings{Liu2017AnalogicalIF,
  title={Analogical Inference for Multi-Relational Embeddings},
  author={Hanxiao Liu and Yuexin Wu and Yiming Yang},
  booktitle={ICML},
  year={2017}
}
Large-scale multi-relational embedding refers to the task of learning the latent representations for entities and relations in large knowledge graphs. An effective and scalable solution for this problem is crucial for the true success of knowledgebased inference in a broad range of applications. This paper proposes a novel framework for optimizing the latent representations with respect to the analogical properties of the embedded entities and relations. By formulating the learning objective in… CONTINUE READING
Highly Cited
This paper has 25 citations. REVIEW CITATIONS

6 Figures & Tables

Topics

Statistics

0204020172018
Citations per Year

Citation Velocity: 16

Averaging 16 citations per year over the last 2 years.

Learn more about how we calculate this metric in our FAQ.