2.9.0

Install PyG

Installation

Get Started

Introduction by Example
Colab Notebooks and Video Tutorials

Tutorials

Design of Graph Neural Networks
Working with Graph Datasets
Use-Cases & Applications
Distributed Training

Advanced Concepts

Advanced Mini-Batching
Memory-Efficient Aggregations
Hierarchical Neighborhood Sampling
Compiled Graph Neural Networks
TorchScript Support
Scaling Up GNNs via Remote Backends
Managing Experiments with GraphGym
CPU Affinity for PyG Workloads

Package Reference

torch_geometric
torch_geometric.nn
torch_geometric.data
torch_geometric.loader
torch_geometric.sampler
torch_geometric.datasets
torch_geometric.llm
torch_geometric.transforms
torch_geometric.utils
torch_geometric.explain
torch_geometric.metrics
torch_geometric.distributed
torch_geometric.contrib
torch_geometric.graphgym
torch_geometric.profile

Cheatsheets

GNN Cheatsheet
Dataset Cheatsheet

External Resources

External Resources

pytorch_geometric

Installation
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Installation

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