Learning distributed representations for community search using node embedding

1 Introduction and main contributions Community search is a query-dependent variant of community detection problem in social network analysis. Algorithms of this type usually start with a query node preknown to be in the target community, and uncover the remaining nodes in the community. The key challenge in this problem is how to find a proper way to represent network structure as a representation that can be easily exploited by downstream data mining models.