With the rapid development of information technologies, various big graphs are prevalent in
many real applications (eg, social media and knowledge bases). An important component of …

With the prevalence of Internet access and online services, various big graphs are
generated in many real applications (eg, online social networks and knowledge graphs). An …

Given a graph G and a vertex q∈ G, the community search query returns a subgraph of G
that contains vertices related to q. Communities, which are prevalent in attributed graphs …

Recently, community search over graphs has attracted significant attention and many
algorithms have been developed for finding dense subgraphs from large graphs that contain …

We study the problem of discovering a team of experts from a social network. Given a project
whose completion requires a set of skills, our goal is to find a set of experts that together …

We witness an unprecedented proliferation of knowledge graphs that record millions of
entities and their relationships. While knowledge graphs are structure-flexible and content …

It is increasingly common to find real-life data represented as networks of labeled,
heterogeneous entities. To query these networks, one often needs to identify the matches of …

Given a graph G and a vertex q ∈ G q∈ G, the community search query returns a subgraph
of G that contains vertices related to q. Communities, which are prevalent in attributed …

Reusing APIs of existing libraries is a common practice during software development, but
searching suitable APIs and their usages can be time-consuming [6]. In this paper, we study …

Top-k query processing finds a list of k results that have largest scores wrt the user given
query, with the assumption that all the k results are independent to each other. In practice …