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

Related tags

Deep LearningSEAggregation
Overview

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.

Owner
Tianqi Zhang (张天启)
Postgraduate @ SJTU
Tianqi Zhang (张天启)
GitHub Repository
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