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UIUC CS598 DL4H Final Project - Implement Graph Convolutional Transformer

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EHR-GCT

UIUC CS598 DL4H Final Project - Implement Graph Convolutional Transformer

Team ID: 7

Paper Reference

Choi, Edward, et al. "Learning the graphical structure of electronic health records with graph convolutional transformer." Proceedings of the AAAI conference on artificial intelligence. Vol. 34. No. 01. 2020.

Member

Chaochao Zhou ([email protected])

Presentation

https://youtu.be/LF0lvLIEDTE

How to run

Tensorflow 2 version

Run EHR-GCT/tensorflow/DL4H_Team_7.ipynb

PyTorch version

First run EHR-GCT/pytorch/data-proc-pytorch.ipynb to generate tensors (note: it will call the functions in EHR-GCT/tensorflow)

Then run EHR-GCT/pytorch/ehr-gct-pytorch.ipynb to train and evaluate models

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UIUC CS598 DL4H Final Project - Implement Graph Convolutional Transformer

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