Added note on reproducibility

README.md

@@ -1,14 +1,18 @@
 Graph Convolutional Networks in PyTorch
 ====
 
-PyTorch implementation of Graph Convolutional Networks (GCNs) for semi-supervised classification [1]. This makes use of the Cora dataset from [2].
+PyTorch implementation of Graph Convolutional Networks (GCNs) for semi-supervised classification [1].
 
 For a high-level introduction to GCNs, see:
 
 Thomas Kipf, [Graph Convolutional Networks](http://tkipf.github.io/graph-convolutional-networks/) (2016)
 
 ![Graph Convolutional Networks](figure.png)
 
+Note: There are subtle differences between the TensorFlow implementation in https://github.com/tkipf/gcn and this PyTorch re-implementation. This re-implementation serves as a proof of concept and is not intended for reproduction of the results reported in [1].
+
+This implementation makes use of the Cora dataset from [2].
+
 ## Installation
 
 ```python setup.py install```