lygztq / SEAggregation

Official DGL implementation of "Rethinking High-order Graph Convolutional Networks"

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SE Aggregation

This is the implementation for Rethinking High-order Graph Convolutional Networks.

Here we show the codes for citation networks as an example.

Usage

Module Requirement

  • Python 3.7
  • Pytorch 1.7
  • dgl 0.6

Run

python citation.py

You can change hyper-parameters and datasets in citation.py.

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Official DGL implementation of "Rethinking High-order Graph Convolutional Networks"


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