gcompool¶
Orders a Feature vector of size (-1,gs,param), orders it by its last Feature and uses a simple Dense Layer to transform each c neighbouring Feature Vectors into one Feature Vector of size paramo (-1,gs/c,paramo)
Arguments
- gs: The initial Number of Nodes in each Graph.
- param: The initial Number of Features in each Node.
- paramo: The Number of Features in each output Node.
- c=2: How many Input Feature Vectors are to be transformed into one Output Vector
- metrik_init=”glorot_uniform”: Initializer of the Transformation
- learnable=True: Weather the Transformation is learnable.