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This repository is a PyTorch implementation of T-GCSA in "Triplet Teaching Graph Contrastive Networks with Self-evolving Adaptive Augmentation" (Pattern Recognition, Under review).

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T-GCSA

This repository is a PyTorch implementation of T-GCSA in "Triplet Teaching Graph Contrastive Networks with Self-evolving Adaptive Augmentation" (Pattern Recognition).

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Requirements

  • Python (>=3.6)
  • PyTorch (>=1.7.1)
  • NumPy (>=1.19.2)
  • Scikit-Learn (>=0.24.1)
  • Scipy (>=1.6.1)
  • Networkx (>=2.5)
  • Other frequently-used ML packages

Results

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Usage

If you use our code in your research, please declare the source.

The authors

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Email address

mjx606@163.com

About

This repository is a PyTorch implementation of T-GCSA in "Triplet Teaching Graph Contrastive Networks with Self-evolving Adaptive Augmentation" (Pattern Recognition, Under review).

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