the first step of GCN is to construct a populational graph.
there are three types of brain graphs we could choose:
- spatial neighborhood
- structural covariance
- RSFC
In the 2nd and 3rd graphs, we need to additionally construct a sparse KNN graph because it is very dense which might cause computational problems
Note, previously I had made a mistake by taking the weakest connections for the KNN graph, which has worsen the performance of GCN. Now it worked and we could compare them.
the first step of GCN is to construct a populational graph.
there are three types of brain graphs we could choose:
In the 2nd and 3rd graphs, we need to additionally construct a sparse KNN graph because it is very dense which might cause computational problems
Note, previously I had made a mistake by taking the weakest connections for the KNN graph, which has worsen the performance of GCN. Now it worked and we could compare them.