Link TF-GNN blog post from GitHub.

PiperOrigin-RevId: 627745643

README.md

@@ -21,9 +21,9 @@ This library is an OSS port of a Google-internal library used in a broad variety
 of contexts, on homogeneous and heterogeneous graphs, and in conjunction with
 other scalable graph mining tools.
 
-For background and discussion, please see O. Ferludin et al.:
-[TF-GNN: Graph Neural Networks in TensorFlow](https://arxiv.org/abs/2207.03522),
-2023 (full citation below).
+For background, please see our
+[blog post](https://blog.tensorflow.org/2024/02/graph-neural-networks-in-tensorflow.html)
+and the [TF-GNN paper](https://arxiv.org/abs/2207.03522) (full citation below).
 
 ## Quickstart
 

tensorflow_gnn/docs/guide/overview.md

@@ -119,3 +119,11 @@ The following research paper describes the design of this library:
 
   * O. Ferludin et al.: [TF-GNN: Graph Neural Networks in
   TensorFlow](https://arxiv.org/abs/2207.03522), 2023.
+
+## Blog posts
+
+  * [Graph neural networks in TensorFlow](https://blog.tensorflow.org/2024/02/graph-neural-networks-in-tensorflow.html)
+    (February 06, 2024) for release 1.0.
+  * [Introducing TensorFlow Graph Neural Networks](https://blog.tensorflow.org/2021/11/introducing-tensorflow-gnn.html)
+    (November 18, 2021) for the initial open-sourcing ahead of release 0.1.
+