Update README.md

README.md

@@ -11,7 +11,7 @@ Matthias Fey, Jan E. Lenssen, Frank Weichert, Jure Leskovec: **[GNNAutoScale: Sc
 GAS prunes entire sub-trees of the computation graph by utilizing historical embeddings from prior training iterations, leading to constant GPU memory consumption in respect to input mini-batch size, and maximally expressivity.
 
 *PyGAS* is implemented in [PyTorch](https://pytorch.org/) and utilizes the [PyTorch Geometric](https://github.com/rusty1s/pytorch_geometric) (PyG) library.
-It provides an easy-to-use interface to convert a common and custom GNN from PyG into its scalable variant:
+It provides an easy-to-use interface to convert a common or custom GNN from PyG into its scalable variant:
 
 ```python
 from torch_geometric.nn import SAGEConv