Félix Lefebvre

Scalable Feature Learning on Huge Knowledge Graphs for Downstream Machine Learning

Many machine learning tasks can benefit from external knowledge. Large knowledge graphs store such knowledge, and embedding methods can be used to distill it into ready-to-use vector representations for downstream applications. For this purpose, current models have however two limitations: they are…