The idea of this global node should not be limited to only expressing the phase. Any global feature that could be expressed as an integer class can very readily be expressed as a class that is only expressed in this global node. Float features could theoretically also be expressed in a global node using the learned feature embedding technique discussed above, where all non-global node values of that float feature are consistent (zero, negative, or a large positive value depending on the domain of the global feature). In doing so, global features can benefit from the context and relative importance provided by transformers, instead of being limited by the interpretation of MLPs.