What you can do with NeuralKG?
Knowledge Graphs are widely used in tasks related to entities, such as link prediction and recommendation. It also widely used in many domain applications such as e-commerce and bio-informatics. We show how to use NeuralKG in various KG tasks and applications.
For various KG related tasks, such as link prediction, recommendation, question answering, NeuralKG provide flexible methods for representing entities and relations in vector space and could be easily utilized in task models.
The domain knowledge could be organized as a knowledge graph in many applications, such as bioinformatics, e-commerce, and finance. With domain KG, NeuralKG provides easy implementation to discover semantic relationships and relatedness between entities.