PyG 2.0 (PyTorch Geometric 2.0) Release

One of the most prominent libraries in the world of GNNs and Geometric DL got a major update (and a small re-branding to a shorter "PyG")! Now with a website and Slack channel.

In addition to a constantly growing number of supported GNN architectures, the 2.0 version features:

1. Heterogeneous graph support with models, mini-batching, sampling, and a one-line conversion of homogeneous models to heterogeneous.

2. GraphGym - a whole platform for designing and experimenting with GNN architectures where you can fine-tune the nitty-gritty details of your model and find the best hyperparams. Based on the NeurIPS'20 paper

3. Pre-defined models - before, you'd usually build a GNN model from a collection of layers by yourself (trying to not forget to put that non-linearity after the GCN layer). Now, the library includes 25 well-known models!

4. Half-precision support and other smaller improvements to make your GNN journey easier.