We shortly introduce the fundamental concepts of PyG through self-contained examples. For an introduction to Graph Machine Learning, we refer the interested reader to the Stanford CS224W: Machine Learning with Graphs lectures.

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. 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.

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. 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.

Graph Neural Network Library for PyTorch. Contribute to pyg-team/pytorch_geometric development by creating an account on GitHub.

Dec 22, 2022 · In this post, we will showcase how these features can be used to solve link prediction tasks on heterogenous graphs in PyG. Graphs capture both simple and complex interactions, and provide a...

Official Examples We have prepared a list of Colab notebooks that practically introduces you to the world of Graph Neural Networks with PyG: Introduction: Hands-on Graph Neural Networks. Node Classification with Graph Neural Networks. Graph Classification with Graph Neural Networks. Scaling Graph Neural Networks

Node Classification (with W&B) contains a few tips for taking most advantage of W&B with PyG; Point Cloud Classification using PyTorch Geometric; Recommending Amazon Products using Graph Neural...

Jan 10, 2023 · Part 1 — The Basics of building datasets with graph-based information and plugging them into models. Here’s my first attempt with Pytorch-geometric (PyG) and Graph Neural Network (GNN)...

Feb 2, 2023 · In a recent community sprint the PyG community has implemented a core explainability framework along with various evaluation methods, benchmark datasets, and visualisations, which make it very...

Graph Neural Network Library for PyTorch. Contribute to pyg-team/pytorch_geometric development by creating an account on GitHub.