- 30 individuals;
- Each individual has an associated graph;
- Individuals graphs represent the connections between brain regions: nodes are brain regions, while edges' weights are the strengths of the connections. There are 100 brain regions, which are the same across subjects. It implies a total of 4950 edges;
- Each individual has an associated scale (accuracy during a task). So they can be ordered from the worst to the best in that scale.
I want to build a model starting from individual graphs. The model should generate the graph expected, given an accuracy score. So, it sounds like a "graph regression".
I am aware that this is not simple, so not only straight answers but also suggestions on how to approach the problem are appreciated.