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MICCAI 2022 (Oral): Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis

Python 100.00%
brain graph-neural-networks healthcare interpretability-and-explainability miccai2022

ibgnn's Introduction

You Found Me! I am Hejie

Hi there! This is Hejie, a Computer Science PhD student in Data Mining.

  • ๐Ÿง I am studying Graph Mining, Multimodality, and AI for Health.
  • ๐Ÿค“ I am open to research discussions and potential collaborations, feel free to reach out to me.
  • ๐Ÿคฉ Here is my personal homepage! Homepage

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ibgnn's Issues

Questions about the datasets

Hi,

Very great work! I am testing the main_explainer.py to get the gist of the model. It seems that the datasets folder is missing the 'HIV.mat', 'BP.mat', etc., data mentioned in the paper. I am wondering if you could provide a single template data for either HIV or BP data? Thank you very much!

About the dataset

Hi,
It is a great work and I am interested in running the code. But how could I download all the datasets used by the codes?

Thanks!

Training parameters

Hi!
Thank you for your work! I have a question regarding model parameters -- in paper you say that parameters were tuned with AutoML toolkit and do I understand correctly that these parameters are assigned as default values in arguments of main_explainer.py? I don't have access to supplementary material of your paper to check this out.

Best,

The location of baseline folder

Hi,

This is a great work. According to the readme file, there should be a baseline folder to reproduce the baseline results in the paper. However, the current code version seems to have no such folder. Could you please upload the codes for baseline?

Thanks!

Datasets

Hi,
Awesome work indeed!

A question about the datasets, where can i find the following files ;

datasets/New_Node_AAL90.txt
datasets/New_Node_Brodmann82.txt
datasets/New_Node_PPMI.txt
datasets/New_Node_PPMI.txt

Thanks,

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