From ba85cdd0fb5f58ef56f3f525a0025b196f7068df Mon Sep 17 00:00:00 2001
From: William L Hamilton <wleif@stanford.edu>
Date: Tue, 30 May 2017 18:55:00 +0100
Subject: [PATCH] Update README.md

---
 README.md | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 1bfbb28..e02a8d7 100644
--- a/README.md
+++ b/README.md
@@ -49,4 +49,6 @@ Note that the full log outputs and stored embeddings can be 5-10Gb in size (on t
 
 #### Using the output of the unsupervised models
 
-TODO
+The unsupervised variants of GraphSAGE will output embeddings to the logging directory as described above.
+These embeddings can then be used in downstream machine learning applications.
+The `eval_scripts` directory contains examples of feeding the embeddings into simple logistic classifiers.