Build, train, and deploy graph neural networks with PyTorch Geometric.
npx skills add https://github.com/Hung-3008/agusta --skill torch-geometric-hung-3008
Please help me install this Agent Skill. Skill: torch-geometric Source: https://github.com/Hung-3008/agusta/tree/main/.agents/skills/torch-geometric Command: npx skills add https://github.com/Hung-3008/agusta --skill torch-geometric-hung-3008
PyTorch Geometric (PyG) enables building, training, and deploying graph neural networks with a rich set of built-in layers, datasets, and tooling.
Install PyG and run a simple GCN on Cora to observe node predictions.
High-intent search queries and answers about installing and using this skill.
Build graph neural networks for node classification using PyTorch Geometric (PyG) by leveraging quick-start templates and architectures like GCN and GraphSAGE. PyG provides prebuilt layers and integrated datasets to train models and generate node predictions on benchmark graphs.
Graph classification tasks utilize over 40 prebuilt graph neural network layers in PyG, including GCN, GAT, GraphSAGE, and GIN. These architectures support modular model construction to train and deploy models across molecular data and large-scale networks.
Train models on heterogeneous graphs using PyTorch Geometric, which includes integrated datasets and utilities specifically designed for both homogeneous and heterogeneous graphs. Transform pipelines and modular model construction facilitate training across diverse graph structures.
PyG supports link prediction and molecular property prediction through its extensive collection of neural network layers and integrated datasets catalog. Researchers can apply transforms and utilize templates to accelerate experimentation across these graph-based tasks.
Install PyTorch Geometric, PyTorch, and NumPy to start building graph neural networks. PyG provides quick-start templates and reference materials to run a simple GCN on the Cora dataset, enabling immediate observation of node predictions and accelerating development.
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