SLIDE 1
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A Deep Graph Networks library for Python
https://github.com/diningphil/PyDGN Federico Errica
Robust Evaluation
(no more eval. mistakes)
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Requirements:
Requirements:
- A dataset implementation
- A data split file
A Deep Graph Networks library for Python - - PowerPoint PPT Presentation
A Deep Graph Networks library for Python - - PowerPoint PPT Presentation
A Deep Graph Networks library for Python https://github.com/diningphil/PyDGN Federico Errica 1 Robust Evaluation Requirements: (no more eval. mistakes) Requirements: A dataset implementation A data split file 2 An Example Data
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SLIDE 3
An Example
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Data Preprocessing
SLIDE 4
Three experiment classes (more are coming!)
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Incremental Supervised Semi-supervised
SLIDE 5
An Example
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Supervised Experiment
SLIDE 6
Plotting
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Profiling Progress
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PyDGN final remarks
- Leverages Pytorch Geometric
○ Data processing ○ Graph convolution
- An extended library w.r.t. our ICLR paper
- In continuous development
○ Every project requires some improvement
- Latest News: Ray support for distributed computing
○ by A.Carta (thanks!)
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