deephyper.keras.layers.AttentionSymGAT
deephyper.keras.layers.AttentionSymGAT#
-
class
deephyper.keras.layers.
AttentionSymGAT
(*args: Any, **kwargs: Any)[source]# Bases:
tensorflow.keras.layers.
GAT Symmetry Attention.
The attention coefficient between node \(i\) and \(j\) is calculated as:
\[\alpha_{ij} + \alpha_{ij}\]based on GAT.
- 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 N (int): number of nodes targets (tensor): target node index tensor sources (tensor): source node index tensor degree (tensor): node degree sqrt tensor (for GCN attention)
- Returns
attention coefficient tensor
- Return type
attn_coef (tensor)