https://github.com/heardacat/graph-differential-pooling

Based on diffpool paper - notes on torch implementation
https://github.com/heardacat/graph-differential-pooling

Last synced: about 2 months ago
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Based on diffpool paper - notes on torch implementation

• Host: GitHub
• URL: https://github.com/heardacat/graph-differential-pooling
• Owner: HeardACat
• License: mit
• Created: 2020-02-26T02:17:53.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-03-13T09:34:43.000Z (about 5 years ago)
• Last Synced: 2025-04-11T18:07:29.927Z (about 2 months ago)
• Language: Python
• Size: 15.6 KB
• Stars: 6
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Graph Differential Pooling

Based on Diffpool paper - notes on torch implementation. This is based on work within torch-geometric; and we extend it for node-level classification (on clustered nodes)

See: Hierarchical Graph Representation Learning with Differentiable Pooling

https://arxiv.org/abs/1806.08804