The team discovery task is concerned with finding a group of experts from a collaboration
network who would collectively cover a desirable set of skills. Most prior work for team …

Given a set of required skills, the objective of the team formation problem is to form a team of
experts that cover the required skills. Most existing approaches are based on graph …

Team mining is concerned with the identification of a group of experts that are able to
collaborate with each other in order to collectively cover a set of required skills. This problem …

Team formation is concerned with the identification of a group of experts who have a high
likelihood of effectively collaborating with each other to satisfy a collection of input skills …

We study team formation whose goal is to form a team of experts who collectively cover a set
of desirable skills. This problem has mainly been addressed either through graph search …

We present PyTFL, a library written in Python for the team formation task. In team formation
task, the main objective is to form a team of experts given a set of skills. We demonstrate an …

Finding a set of suitable experts with minimized communication overhead to perform a
complex task finds a wide spectrum of applications in industry, education, and other …

We focus on the composition of teams of experts that collectively cover a set of required
skills based on their historical collaboration network and expertise. Prior works are primarily …

We contribute OpeNTF, an open-source python-based benchmark library to support neural
team formation research. Team formation falls under social information retrieval (Social IR) …

Finding a list of k teams of experts, referred to as top-k team formation, with the required
skills and high collaboration compatibility has been extensively studied. However, existing …