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PAtree-SGC

Paper Papers with Code Python 3.9+ PyTorch

Graph Construction using Principal Axis Trees for Simple Graph Convolution

This is an implementation for the following paper:

@misc{https://doi.org/10.48550/arxiv.2302.12000,
  url        = {https://arxiv.org/abs/2302.12000},
  author     = {Alshammari, Mashaan and Stavrakakis, John and Ahmed, Adel F. and Takatsuka, Masahiro},
  title      = {Graph Construction using Principal Axis Trees for Simple Graph Convolution},
  publisher  = {arXiv},
  year       = {2023}
}

Dependencies

We used Anaconda environment to run the code, with these packages installed:

  • conda install -c pytorch pytorch
  • conda install -c anaconda scipy
  • conda install -c anaconda scikit-learn
  • conda install -c anaconda networkx=2.6.3
  • conda install -c conda-forge hyperopt