In today's competitive and fast-evolving business environment, it is a critical time for
organizations to rethink how to make talent-related decisions in a quantitative manner …

Recently, the topic of influential community search has gained much attention. Given a
graph, it aims to find communities of vertices with high importance values from it. Existing …

Community search (CS) over attributed heterogeneous information networks (AHINs) takes
both network structure and attributes of nodes into consideration, which can support …

Community search (CS) enables personalized community discovery and has found a wide
spectrum of emerging applications such as setting up social events and friend …

Community Search (CS) is one of the fundamental tasks in network science and has
attracted much attention due to its ability to discover personalized communities with a wide …

Searching for local communities is an important research challenge that allows for
personalized community discovery and supports advanced data analysis in various complex …

Link prediction, determining if a relation exists between two entities, is an essential task in
the analysis of heterogeneous graphs with diverse entities and relations. Despite extensive …

In applications such as biological, social, and transportation networks, interactions between
objects span multiple aspects. For accurately modeling such applications, multilayer …

Target community search aims to search cohesive communities consistent with the user's
preference revealed by query nodes, which is a query-dependent variant of community …

Time series data pervades multiple domains, yet in real-world applications, there frequently
exists a deficiency of labels to ascertain effective representations and enable efficient …