This repository provides the source code for Heterogeneous Graph Attention Network (HAN), a deep learning model that applies attention mechanisms to learn optimal aggregation of neighbor information across different node and edge types in heterogeneous graphs. The model performs semi-supervised learning using meta-path based adjacencies and produces node embeddings for classification tasks.