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The following section will provide a little introduction to PyTorch Geometric and then we’ll use this library to construct our very own Graph Neural Network! For this approach, I will make use of the MNIST-Superpixel dataset. Here is the first part of this series This portion of the series is also accessible in colab format, which can be found in this link - https://colab.research.google.com/drive/1EMgPuFaD-xpboG_ZwZcytnlOlr39rakd PyTorch Geometric Introduction A Python library for deep learning on irregular data structures, such as Graphs, PyTorch Geometric is available for download. When creating Graph Neural Networks, it is widely utilized as the framework for the network’s construction. Installing it with the pip package manager may be accomplished by running the following commands:
