An implementation of the paper "Multi-view Graph Convolutional Networks with Attention Mechanism". This repository contains the code and resources necessary to replicate the experiments presented in the paper.
- Multi-View Graph Convolutional Network (GCN): Leverages multiple views of the data for more comprehensive learning.
- Attention Mechanism: Integrates an attention mechanism to enhance the performance of GCN by focusing on important features.
Detailed documentation is available here. This includes in-depth explanations of the methodology, experiments, and results.