From bbff8a9eb49495bfbb7c65e7b953596cd860424b Mon Sep 17 00:00:00 2001
From: Ikko Eltociear Ashimine <eltociear@gmail.com>
Date: Wed, 11 Dec 2024 00:09:03 +0900
Subject: [PATCH] fix typo (#559)

---
 .../docs/src/tutorials/node_classification_pluto.md             | 2 +-
 .../introductory_tutorials/node_classification_pluto.jl         | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/GraphNeuralNetworks/docs/src/tutorials/node_classification_pluto.md b/GraphNeuralNetworks/docs/src/tutorials/node_classification_pluto.md
index 11f9b9ddc..d875ce207 100644
--- a/GraphNeuralNetworks/docs/src/tutorials/node_classification_pluto.md
+++ b/GraphNeuralNetworks/docs/src/tutorials/node_classification_pluto.md
@@ -59,7 +59,7 @@ end;</code></pre>
 ## Visualize
 ```@raw html
 <div class="markdown">
-<p>We want to visualize the the outputs of the results using t-distributed stochastic neighbor embedding (tsne) to embed our output embeddings onto a 2D plane.</p></div>
+<p>We want to visualize the outputs of the results using t-distributed stochastic neighbor embedding (tsne) to embed our output embeddings onto a 2D plane.</p></div>
 
 <pre class='language-julia'><code class='language-julia'>function visualize_tsne(out, targets)
     z = tsne(out, 2)
diff --git a/GraphNeuralNetworks/docs/src_tutorials/introductory_tutorials/node_classification_pluto.jl b/GraphNeuralNetworks/docs/src_tutorials/introductory_tutorials/node_classification_pluto.jl
index 23d7e13b1..7e622b0ba 100644
--- a/GraphNeuralNetworks/docs/src_tutorials/introductory_tutorials/node_classification_pluto.jl
+++ b/GraphNeuralNetworks/docs/src_tutorials/introductory_tutorials/node_classification_pluto.jl
@@ -44,7 +44,7 @@ Let us start off by importing some libraries. We will be using Flux.jl and `Grap
 # ╔═╡ 0d556a7c-d4b6-4cef-806c-3e1712de0791
 md"""
 ## Visualize
-We want to visualize the the outputs of the results using t-distributed stochastic neighbor embedding (tsne) to embed our output embeddings onto a 2D plane.
+We want to visualize the outputs of the results using t-distributed stochastic neighbor embedding (tsne) to embed our output embeddings onto a 2D plane.
 """
 
 # ╔═╡ 997b5387-3811-4998-a9d1-7981b58b9e09