Update README.md

README.md

@@ -42,7 +42,7 @@ from the bottom to the top of the stack. But it is still only a slice of what a
 It includes:
 
 * Examples: Synthetic linear model; Adult/Census model; Cifar-10 demo; Dogs & Cats classifier demo; IMDB Movie Review 
-  demo; Diffusion model for Oxford Flowers 102 dataset (generates random flowers).
+  demo; Diffusion model for Oxford Flowers 102 dataset (generates random flowers); GNN model for [OGBN-MAG](https://ogb.stanford.edu/docs/nodeprop/#ogbn-mag).
 * Pre-Trained models to use: InceptionV3 (image model) -- more to come.
 * Docker with integrated JupyterLab and GoNB (a Go kernel)
 * Just-In-Time (JIT) compilation using [OpenXLA](https://github.com/openxla/xla)] for CPUs and GPUs -- hopefully soon TPUs.