DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling
Code dependencies:
pytorch
torch-scatter
torch-sparse
torch-cluster
pytorch-geometric
numpy
To run the experiment, simply run python partsegmentation_train_test.py
If you found the paper useful for your work, please consider citing us:
@article{eliasof2020diffgcn,
title={DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling},
author={Eliasof, Moshe and Treister, Eran},
journal={34th Conference on Neural Information Processing Systems (NeurIPS)},
year={2020}
}