wtell64 / graphical_neural_network_node_embeddings

Graphical_Neural_Network_Node_Embeddings

Welcome to my Data Science Project!

Hello there!

Project Overview

In this project, I have focused on creating heterogeneous node embeddings. These embeddings can be incredibly useful in various applications such as recommendation systems, community detection, and link prediction in heterogeneous networks.

Motivation

I found a lack of good examples and resources specifically addressing the creation of heterogeneous node embeddings. Hence, I decided to create this project not only for my own learning but also to provide a starting point for others who might be facing similar challenges.

Why You Should Check This Out

If you're interested in diving into the graph-based data science and are looking for a practical example to get started with heterogeneous node embeddings, I thought this simple project would be an good example to start with.

Getting Started

To get started with this project, simply clone this repository to your local machine and explore the code and documentation provided.

git clone https://github.com/your_username/your_repository.git

Contribution

If you have any ideas for improvements, additional features, or bug fixes, please feel free to open an issue or submit a pull request.

Contact

If you have any questions, feel free to reach out to me. You can find my contact information in my GitHub profile.