The last decade has witnessed a rapid development of deep learning applied in the field of recommendation 1. However, traditional deep learning recommendation systems have the problem of cold start ...

Molecular machine learning bears promise for efficient molecular property prediction and drug discovery. However, labelled molecule data can be expensive and time consuming to acquire. Due to the ...

AWS Context is a self-learning knowledge graph for enterprise data — it propagates agent-discovered relationships ...

The unprecedented explosion in the amount of information we are generating and collecting, thanks to the arrival of the internet and the always-online society, powers all the incredible advances we ...

Giulia Livieri sets out remarkable new research with results that clarify how learning works on complex graphs and how quickly any method (including Graph Convolutional Networks) can learn from them, ...