danieloaAAU/Graph-Neural-Network-in-wireless-communication-Papers
This repository contains list of publications on the application of Graph Neural Network in Wireless Communication
This is a curated list of research papers exploring how Graph Neural Networks (GNNs) can be applied to improve various aspects of wireless communication systems. It provides insights into advanced techniques for optimizing resource allocation, designing efficient receivers, and managing complex network operations. Wireless communication researchers, engineers, and academics will find this useful for understanding cutting-edge research.
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Use this if you are a wireless communication professional seeking to understand or implement machine learning, specifically Graph Neural Networks, for challenges like power control, resource allocation, or receiver design in wireless networks.
Not ideal if you are looking for ready-to-use software implementations or tutorials, as this repository primarily serves as a collection of academic papers.
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Nov 05, 2024
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