Graph Neural Networks for Information Extraction with PyTorch

Graph Neural Networks for Information Extraction with PyTorch

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Use case: a possible model architecture

10 of 11

10 of 11

Use case: a possible model architecture

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Graph Neural Networks for Information Extraction with PyTorch

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  1. 1 Intro
  2. 2 Deep learning landscape
  3. 3 Sample GNN use case
  4. 4 A typical information extraction pipeline
  5. 5 What is a graph?
  6. 6 Representing graphs in Python
  7. 7 Graph neural networks
  8. 8 Comparison with convolutional networks
  9. 9 Use case: information extraction from tables
  10. 10 Use case: a possible model architecture
  11. 11 Implementations, literature

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