With the recent surge in social applications relying on knowledge graphs...
Most existing personalization systems promote items that match a user's
...
Knowledge Graphs (KG) are gaining increasing attention in both academia ...
Augmentation of disease diagnosis and decision-making in healthcare with...
The suggestions generated by most existing recommender systems are known...
Reasoning is essential for the development of large knowledge graphs,
es...
Knowledge graph embedding aims to learn distributed representations for
...
Negative user preference is an important context that is not sufficientl...