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…presentation learning models applied to KGs. The goal of KGE models is to embed the KG components — entities and relations — into a continuous and low-dimensional vector space. The latent factors projected into KGEs have a…

Improving Knowledge Graph Embeddings with Graph Neural Networks
13
5

Giuseppe Futia

Dan McCreary

Dan McCreary

·Nov 26, 2020

and their attributes

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Distinguished Engineer with an interest in knowledge graphs, AI and complex systems. Big fan of STEM, Arduino, robotics, DonkeyCars and the AI Racing League.

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