This repository provides a reference implementation of the Graph Attention Network paper (ICLR 2018), featuring both dense and experimental sparse versions of the GAT layer in TensorFlow. It includes utilities for preprocessing the Cora dataset and PPI benchmark, along with a pretrained model achieving 84.4% accuracy on Cora’s test set. The implementation handles graph structure via adjacency matrices and uses multi-head attention for node representation learning.