From 77d0d41b432df79184beb64bb6fcab557851e0b4 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Petar=20Veli=C4=8Dkovi=C4=87?=
 <petrovy.velickovic@gmail.com>
Date: Sun, 12 Apr 2020 15:37:45 +0100
Subject: [PATCH] Update README.md

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 7d95312..1276fd2 100644
--- a/README.md
+++ b/README.md
@@ -3,7 +3,7 @@ Graph Attention Networks (Veličković *et al.*, ICLR 2018): [https://arxiv.org/
 
 GAT layer            |  t-SNE + Attention coefficients on Cora
 :-------------------------:|:-------------------------:
-![](http://www.cl.cam.ac.uk/~pv273/images/gat.jpg)  |  ![](http://www.cl.cam.ac.uk/~pv273/images/gat_tsne.jpg)
+![](https://camo.githubusercontent.com/4fe1a90e67d17a2330d7cfcddc930d5f7501750c/68747470733a2f2f7777772e64726f70626f782e636f6d2f732f71327a703170366b37396a6a6431352f6761745f6c617965722e706e673f7261773d31)  |  ![](https://camo.githubusercontent.com/a1ad7645e034ba75ab4d3380a631fdfc00783553/687474703a2f2f7777772e636c2e63616d2e61632e756b2f7e70763237332f696d616765732f6761745f74736e652e6a7067)
 
 ## Overview
 Here we provide the implementation of a Graph Attention Network (GAT) layer in TensorFlow, along with a minimal execution example (on the Cora dataset). The repository is organised as follows: