SaC2Vec: Information Network Representation with Structure and Content

Understand

Network representation learning (also known as information network embedding) has been the central piece of research in social and information network analysis for the last couple of years.

• An information network can be viewed as a linked structure of a set of entities.
• A set of linked web pages and documents, a set of users in a social network are common examples of information network.
• Network embedding learns low dimensional representations of the nodes, which can further be used for downstream network mining applications such as community detection or node clustering.