Graph Neural Network
a project with a background image
Introduction
The recent success of neural networks has boosted research on pattern recognition and data mining. Deep Learning is good at capturing hidden patterns of Euclidean data (images, text, videos). But what about applications where data is generated from non-Euclidean domains, represented as graphs with complex relationships and interdependencies between objects?
Every project has a beautiful feature showcase page. It’s easy to include images in a flexible 3-column grid format. Make your photos 1/3, 2/3, or full width.
To give your project a background in the portfolio page, just add the img tag to the front matter like so:
---
layout: page
title: project
description: a project with a background image
img: /assets/img/12.jpg
---




You can also put regular text between your rows of images. Say you wanted to write a little bit about your project before you posted the rest of the images. You describe how you toiled, sweated, bled for your project, and then… you reveal it’s glory in the next row of images.


The code is simple.
Just wrap your images with <div class="col-sm">
and place them inside <div class="row">
(read more about the Bootstrap Grid system).
To make images responsive, add img-fluid
class to each; for rounded corners and shadows use rounded
and z-depth-1
classes.
Here’s the code for the last row of images above:
<div class="row justify-content-sm-center">
<div class="col-sm-8 mt-3 mt-md-0">
<img class="img-fluid rounded z-depth-1" src="/assets/img/6.jpg" alt="" title="example image"/>
</div>
<div class="col-sm-4 mt-3 mt-md-0">
<img class="img-fluid rounded z-depth-1" src="/assets/img/11.jpg" alt="" title="example image"/>
</div>
</div>