A modular, educational implementation of a movie recommendation engine using knowledge graphs and graph neural network concepts.

• Knowledge Graph Construction: Build heterogeneous graphs from movie rating data
• Graph Embeddings: Learn node representations using Node2Vec
• Smart Recommendations: Cosine similarity-based movie suggestions
• Interactive Visualization: Beautiful, interactive graph exploration with pyvis

• Python 3.6 or higher <= 3.12

1. Miniconda Installer: miniconda

2. Create virtual environment (recommended)

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

2. Install dependencies

pip install -r requirements.txt

Dataset