2.6.0
Install PyG
Installation
Get Started
Introduction by Example
Colab Notebooks and Video Tutorials
Tutorials
Design of Graph Neural Networks
Creating Message Passing Networks
Heterogeneous Graph Learning
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.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
Design of Graph Neural Networks
Edit on GitHub
Design of Graph Neural Networks
Creating Message Passing Networks
Heterogeneous Graph Learning