https://github.com/khuangaf/pytorch-geometric-yoochoose

This is a tutorial for PyTorch Geometric on the YooChoose dataset
https://github.com/khuangaf/pytorch-geometric-yoochoose

artificial-intelligence data-science deep-learning deep-neural-networks graph-neural-networks machine-learning

Last synced: about 1 month ago
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This is a tutorial for PyTorch Geometric on the YooChoose dataset

• Host: GitHub
• URL: https://github.com/khuangaf/pytorch-geometric-yoochoose
• Owner: khuangaf
• License: apache-2.0
• Created: 2019-05-14T10:30:22.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2019-06-07T01:29:17.000Z (almost 6 years ago)
• Last Synced: 2025-04-02T07:51:09.310Z (about 1 month ago)
• Topics: artificial-intelligence, data-science, deep-learning, deep-neural-networks, graph-neural-networks, machine-learning
• Language: Jupyter Notebook
• Homepage:
• Size: 34.2 KB
• Stars: 317
• Watchers: 6
• Forks: 93
• Open Issues: 7
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        

# Pytorch-Geometric-YooChoose

![image](https://cdn-images-1.medium.com/max/2400/1*AMTs2MPLKCwOZy4WaKbYTw.png)

## Overview

This is the accompanying repository for my Medium article:

__[Hands-on Graph Neural Networks with PyTorch & PyTorch Geometric](https://medium.com/@huangkh19951228/hands-on-graph-neural-networks-with-pytorch-pytorch-geometric-359487e221a8)__.

You will learn:

* how to implement custom Graph Convolutional layer with _MessagePassing_

* how to prepare data for training Graph Neural Networks

* how to build custom Graph Neural Networks

## Files

* __YooChooseClick.ipynb:__ All the code in the blog post lies here.

* __YooChooseBuy.ipynb:__ The code I used to solve the second task of RecSys Challenge 2015.