GaAN

The MXNet implementation of GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs in UAI 2018.

We only support python3!

Installation

Compile the MXNet operators by following the guide in seg_ops_cuda. Install the graph sampler by following the guide in GraphSampler.

python setup.py develop

Download datasets

You can download the datasets via the *download_data.py script. The usage is like

python download_data.py --dataset ppi

The --dataset hyperparameter can be 'cora', 'ppi', and 'reddit'.

Run experiments

The script is experiments/static_graph/sup_train_sample.py.

Citation

@inproceedings{zhang18,
  author    = {Jiani Zhang and Xingjian Shi and Junyuan Xie and Hao Ma and Irwin King and Dit{-}Yan Yeung},
  title     = {GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs},
  booktitle = {Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence},
  pages     = {339--349},
  year      = {2018}
}