From 67a797b50b6480245f84c6fc0dbac28c184bb2c2 Mon Sep 17 00:00:00 2001
From: robertturner <143536791+robertdhayanturner@users.noreply.github.com>
Date: Mon, 8 Jan 2024 11:27:13 -0500
Subject: [PATCH] Update node_representation_learning.md

in progress
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 docs/use_cases/node_representation_learning.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/use_cases/node_representation_learning.md b/docs/use_cases/node_representation_learning.md
index 5b7670774..01d67ebde 100644
--- a/docs/use_cases/node_representation_learning.md
+++ b/docs/use_cases/node_representation_learning.md
@@ -2,7 +2,7 @@
 
 # Representation Learning on Graph Structured Data
 
-## Introduction
+## Introduction: how to represent relationships
 
 Of the various types of information - words, pictures, and connections between things - **relationships** are especially interesting. Relationships show how things interact and create networks. But not all ways of representing relationships are the same. In machine learning, **how we do vector represention of relationships affects performance** on a wide range of tasks.