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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

  1. A Deep Graph Networks library for Python https://github.com/diningphil/PyDGN Federico Errica 1

  2. Robust Evaluation Requirements: (no more eval. mistakes) Requirements: ● A dataset implementation A data split file ● 2

  3. An Example Data Preprocessing 3

  4. Three experiment classes (more are coming!) Supervised Semi-supervised Incremental 4

  5. An Example Supervised Experiment 5

  6. Plotting Profiling Progress 6

  7. 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!) 7

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