This repository is the official implementation of How Attentive are Graph Attention Networks?.
GATv2 is now available as part of PyTorch Geometric library!
https://pytorch-geometric.readthedocs.io/en/latest/modules/nn.html#torch_geometric.nn.conv.GATv2Conv
and also is in this main directory.
GATv2 is now available as part of DGL library!
https://docs.dgl.ai/en/latest/api/python/nn.pytorch.html#gatv2conv
and also in this repository.
GATv2 is now available as part of Google's TensorFlow GNN library!
The code for reproducing the DictionaryLookup experiments can be found in the dictionary_lookup directory.
The rest of the code for reproducing the experiments in the paper will be made publicly available.
How Attentive are Graph Attention Networks?
@article{brody2021attentive,
title={How Attentive are Graph Attention Networks?},
author={Brody, Shaked and Alon, Uri and Yahav, Eran},
journal={arXiv preprint arXiv:2105.14491},
year={2021}
}