1.4.2
Minor Changes
- There are now Python wheels available for
torch-scatterandtorch-sparsewhich should make the installation procedure much more user-friendly. Simply run
pip install torch-scatter==latest+${CUDA} torch-sparse==latest+${CUDA} -f https://pytorch-geometric.com/whl/torch-1.4.0.html
pip install torch-geometric
where ${CUDA} should be replaced by either cpu, cu92, cu100 or cu101 depending on your PyTorch installation.
torch-clusteris now an optional dependency. All methods that rely ontorch-clusterwill result in an error requesting you to installtorch-cluster.torch_geometric.data.Datasetcan now also be indexed and shuffled:
dataset.shuffle()[:50]Bugfixes
- Fixed a bug that prevented the user from saving
MessagePassingmodules. - Fixed a bug in
RGCNConvwhen usingroot_weight=False.