PyTorch and torchvision define an example as a tuple of an image and a target. We omit this notation in PyG to allow for various data structures in a clean and understandable way.

Nov 14, 2025 · PyTorch Geometric is a powerful library built on top of PyTorch that provides tools for working with graph data efficiently. This blog aims to provide a detailed tutorial on PyTorch …

Jul 3, 2025 · PyTorch Geometric (PyG) is a popular extension library for PyTorch that makes it easy to build and train Graph Neural Networks (GNNs). It provides efficient tools and data structures to work …

This project aims to present through a series of tutorials various techniques in the field of Geometric Deep Learning, focusing on how they work and how to implement them using the Pytorch geometric …

Jun 21, 2025 · A beginner-friendly guide to get started with PyTorch Geometric. Learn how to create graphs, visualize them, prepare your dataset, and build a simple GCN model — all in one place.

Dec 5, 2024 · This is where PyTorch Geometric (PyG) comes into play — a library designed specifically for graph-based deep learning. PyG isn’t just another library.

The PyTorch Geometric Tutorial project provides video tutorials and Colab notebooks for a variety of different methods in PyG:

Introduction This notebook teaches the reader how to build and train Graph Neural Networks (GNNs) with Pytorch Geometric (PyG). The first portion walks through a simple GNN architecture applied...

Nov 14, 2025 · This blog post will provide a detailed overview of PyTorch Geometric through examples, covering fundamental concepts, usage methods, common practices, and best practices.

It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers.