src/graphnet/models/coarsening.py
def _additional_features(self, cluster: LongTensor, data: Data) -> Tensor:
        """Additional poolings of feature tensor `x` on `data`.

        By default the nominal `pooling_method` is used for features as well.
        This method can be overwritten for bespoke coarsening operations.
        """
        return None
Additional poolings of feature tensor `x` on `data`.

        By default the nominal `pooling_method` is used for features as well.
        This method can be overwritten for bespoke coarsening operations.
        
Additional poolings of feature tensor `x` on `data`.
By default the nominal `pooling_method` is used for features as well.
This method can be overwritten for bespoke coarsening operations.
Additional poolings of feature tensor ` x ` on ` data ` . By default the nominal ` pooling_method ` is used for features as well . This method can be overwritten for bespoke coarsening operations .
def _additional_features(self, cluster: LongTensor, data: Data) -> Tensor:
        return None
def _additional_features ( self , cluster : LongTensor , data : Data ) -> Tensor : return None
Additional poolings of feature tensor `x` on `data`.
Additional poolings of feature tensor ` x ` on ` data ` .
"""Additional poolings of feature tensor `x` on `data`.

        By default the nominal `pooling_method` is used for features as well.
        This method can be overwritten for bespoke coarsening operations.
        """
self
cluster
LongTensor
data
Data