TE-HI-GCN
The implementation of TE-HI-GCN in our paper:(The paper is under rewever.)
Lanting Li et.al "TE-HI-GCN: An Ensemble of Transfer Hierachical Graph Convolutional Networks for Disorder Diagnosis."
Require
Python 3.6
Reproducing Results
For ABIDE Datasets：
mkdir model
cd model
mkdir <fGCN/hiGCN/ehiGCN> (choose a floder name that you need)
cd <fGCN/hiGCN/ehiGCN>
mkdir
1、f-GCN: python train-fGCN.py
2、HI-GCN: python train-hiGCN.py
3、E-HI-GCN: python train-ehiGCN.py
4、TE-HI-GCN:
Train the model of Transfer learning part that you need.
Load the Transfer learning part into the E-HI-GCN model.
Then, python train-ehiGCN.
For ADNI Datasets：
Using the code in the folder: ADNI.
Other operations are consistent with the ABIDE datasets.
Change "name" in these codes when you need to product results of different atlas.
Change "thr" in train-fGCN.py when you need to product results with different thresholds.