Balanced Team Formation Using Hybrid Graph Convolution Networks and MILP

In this paper, we propose a novel model that is based on a hybrid paradigm composed of a graph convolution network and an Integer Programming solver. The model utilizes the potential of graph neural networks, which have the ability to capture complex relationships and preferences among nodes. While...

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Bibliographic Details
Main Authors: Mohamed A. Sharaf, Turki G. Alghamdi
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/15/4/2049
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