gcomgraphfrom2param¶
Takes a 5d Tensor of size (-1,gs,gs,param,n) and transforms it into (-1,gs,gs,c,c). So basically creates a Graph of size c for each set of n param vectors, using a simple Dense Layer to do the (param,n) to (c,c) transformation.
Arguments
- gs: The Number of Nodes in each global Graph.
- param: The Number of Features from which the graphs will be constructed
- c=2: The Number of Nodes in each resulting subgraph.
- n=2: The Number of Feature Vectors that result in each subgraph
- initializer=”glorot_uniform”: The initializer of the Transformation
- trainable=True: weather the Transformation is trainable