Critique 2

The article is about KGs, and is interesting.

Firstly, the article mentions using low-dimensional embeddings as a common approach to link prediction but does not provide any information on how these embeddings are generated or how they are used to make predictions. \\

Secondly, the KG Completions para mentions using deep reinforcement learning for link prediction by finding relational paths, but does not provide any explanation on how this approach works. It could be helpful to provide more technical details on how deep reinforcement learning can be used to find these paths and how they are used to make predictions.

Rest is all good and very well written.