HLGNN Graph Classification

This project focuses on Graph Classification using Hierarchical Local Graph Neural Networks (HLGNN).

Features:

• Hierarchical Local Graph Neural Network (HLGNN) implementation for effective graph classification tasks.
• Data Reader Utilities to handle and preprocess graph datasets.
• Experiments conducted on datasets like MUTAG to evaluate the model's performance.

Documentation

For detailed information on the implementation and experiments, please refer to my thesis.