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SEAggregation

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

Install / Use

/learn @lygztq/SEAggregation
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

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.

View on GitHub
GitHub Stars33
CategoryDevelopment
Updated1y ago
Forks1

Languages

Python

Security Score

60/100

Audited on Mar 21, 2025

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