Composite LRP

Dear team,

if I would like to do composite LRP using iNNvestigate as described in the [Figure 10.4](https://media.springernature.com/original/springer-static/image/chp%3A10.1007%2F978-3-030-28954-6_10/MediaObjects/487370_1_En_10_Fig4_HTML.png) in your latest [overview-paper](https://link.springer.com/chapter/10.1007/978-3-030-28954-6_10):

>Montavon G., Binder A., Lapuschkin S., Samek W., Müller KR. (2019) Layer-Wise Relevance Propagation: An Overview. In: Samek W., Montavon G., Vedaldi A., Hansen L., Muller KR. (eds) Explainable AI: Interpreting, Explaining and Visualizing Deep Learning. Lecture Notes in Computer Science, vol 11700. Springer, Cham

I am thinking about how to do this in iNNvestigate. I guess I could split the network into different parts, and do respective analysis on each of them and pass the relevances backwards. Is there an easier way?

Thanks in advance!