In this repo, we show the unsupervised graph coloring method using gated graph neural network applied for frequency allocation in wireless multicellular system in the paper D. Abode, R. Adeogun, L.

PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data. Whether you are a machine ...

PyTorch is one of the most widely respected deep learning frameworks, particularly in academic and research settings. Its dynamic computation graph provides unmatched flexibility, making it ideal ...

By the end of this book, you’ll have learned to create graph datasets, implement graph neural networks using Python and PyTorch Geometric, and apply them to solve real-world problems, along with ...

PyTorch is the perfect library for any deep learning project. It makes it easy to build fast, reliable networks with strong GPU acceleration that you can easily read and understand in Python. As an ...

Lupo Pasini, M., Zhang, P., Reeve, S.T., Choi, J.Y., Graph convolutional neural networks for fast, accurate prediction of material properties for solid solution high entropy alloys using open-source ...

User Manual - HydraGNN: Distributed PyTorch Implementation of Multi-Headed Graph Convolutional Neural Networks. by Massimiliano Lupo Pasini, Jong Youl Choi, Pei Zhang ... This document serves as user ...