Packages used for running these notebooks. Install miniforge and then from miniforge prompt, run the following commands to setup the environment

• conda create -n dl python==3.10
• pip install torch==2.4.0 torchvision==0.19.0 torchaudio==2.4.0 --index-url https://download.pytorch.org/whl/cu124
• pip install torch_geometric==2.6.1
• pip install matplotlib==3.9.2
• pip install pyg_lib torch_scatter torch_sparse torch_cluster torch_spline_conv -f https://data.pyg.org/whl/torch-2.4.0+cu124.html

PyTorch Geometric (PyG) 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. The "pytorch_geometric" folder contains jupyter notebooks of the official examples from: https://pytorch-geometric.readthedocs.io/en/latest/get_started/colabs.html