ivam-he / PSHGCN

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PSHGCN

This repository contains a PyTorch implementation of the preprint paper "Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials."

Environment Settings

  • pytorch 1.12.1
  • numpy 1.23.1
  • dgl 0.9.1
  • torch-geometric 2.1.0
  • tqdm 4.64.1
  • scipy 1.9.3
  • seaborn 0.12.0
  • scikit-learn 1.1.3
  • ogb 1.3.6

Datasets

For HGB datasets, you can download them from the Heterogeneous Graph Benchmark (HGB ). Ogbn-mag can be downloaded automatically.

Contact

If you have any questions, please feel free to contact me with mingguo@ruc.edu.cn

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Language:Python 98.3%Language:Shell 1.7%