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I was wondering is it easy for the current se3-transformer to support the output whose irreps type is not scalar? The property I want to predict is a 3x3 symmetric PSD matrix. In addition, I have some scalar features on each edge. Is it easy to achieve this by the current se3-transformer?
I asked you before but at that time there are some nasty change-of-basis matrices that I am not able to figure out. Just want to check with you whether this is now supported as the code has changed a lot since the last time I asked.
The text was updated successfully, but these errors were encountered:
Hey! So I did add a re-implementation of the nbody experiment since the last time we talked about this. This has a type-1 feature output, and can easily be augmented with type 2 features etc. So in theory it should be possible to construct a matrix output with that, but I haven't tried so myself.
Hi Fabian,
I was wondering is it easy for the current se3-transformer to support the output whose irreps type is not scalar? The property I want to predict is a 3x3 symmetric PSD matrix. In addition, I have some scalar features on each edge. Is it easy to achieve this by the current se3-transformer?
I asked you before but at that time there are some nasty change-of-basis matrices that I am not able to figure out. Just want to check with you whether this is now supported as the code has changed a lot since the last time I asked.
The text was updated successfully, but these errors were encountered: