https://github.com/sahar-dev/citeseer_using_gnn
This project implements a Graph Neural Network for node classification on a citation network dataset.
https://github.com/sahar-dev/citeseer_using_gnn
citeseer gcn gnn graph-algorithms randomwalk
Last synced: 5 months ago
JSON representation
This project implements a Graph Neural Network for node classification on a citation network dataset.
- Host: GitHub
- URL: https://github.com/sahar-dev/citeseer_using_gnn
- Owner: Sahar-dev
- Created: 2024-01-24T19:28:53.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-11-20T13:38:18.000Z (over 1 year ago)
- Last Synced: 2025-01-03T14:50:03.174Z (over 1 year ago)
- Topics: citeseer, gcn, gnn, graph-algorithms, randomwalk
- Language: Jupyter Notebook
- Homepage:
- Size: 652 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 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:
```bash
git clone https://github.com/your-username/gnn-node-classification.git
cd gnn-node-classification
python gnn_project.py