CiteSeer_using_GNN

This project implements a Graph Neural Network for node classification on a citation network dataset.

Introduction

This project explores the use of Graph Neural Networks for node classification tasks on citation networks. The GNN is trained on graph-structured data to predict the category of each node.

Features

• Implementation of a Graph Neural Network for node classification.
• Graph preprocessing utilities.
• Training and evaluation scripts.
• Visualization of results.

Getting Started

Prerequisites

Before running the project, make sure you have the following dependencies installed:

• Python 3.7 or higher
• PyTorch
• torch_geometric
• NetworkX

Installation

Clone the repository:

git clone https://github.com/your-username/gnn-node-classification.git
cd gnn-node-classification
python gnn_project.py