Some knowledge graphs contain uncertain information with a confidence score, this information can also be used to learn knowledge representation.

San Jose State University

In this form of knowledge representation extra information like text descriptions, type constraints, visual information ,relational paths along with knowledge graphs are used to learn embeddings. The external information needed can be categorized into

 - Textual Description
 - Type Information
 - Visual Information
 - Uncertain Information


Embedding with Auxiliary Information

A Survey on Knowledge Graphs: Representation, Acquisition and Applications

Structured entities in knowledge graph sometimes have unstructured data in the form of textual descriptions, which can add additional semantic information .

Textual Description

Hierarchical class or type of an entity and semantic type of relation can also be used to learn knowledge representation.


Type Information


Visual information of an entity can also be used for KRL.

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