deephyper.keras.layers.MessagePasserNNM
deephyper.keras.layers.MessagePasserNNM#
-
class
deephyper.keras.layers.
MessagePasserNNM
(*args: Any, **kwargs: Any)[source]# Bases:
tensorflow.keras.layers.
Message passing kernel.
- Parameters
Methods
build
Apply the layer on input tensors.
-
__call__
(*args: Any, **kwargs: Any) → Any# Call self as a function.
-
call
(inputs, **kwargs)[source]# Apply the layer on input tensors.
- Parameters
inputs (list) – X (tensor): node feature tensor (batch size * # nodes * state dimension) A (tensor): edge pair tensor (batch size * # edges * 2), one is source ID, one is target ID E (tensor): edge feature tensor (batch size * # edges * # edge features) degree (tensor): node degree tensor for GCN attention (batch size * # edges)
- Returns
results after edge network, attention and aggregation (batch size * # nodes * state dimension)
- Return type
output (tensor)