GraphConvolutionalNeuralNetwork

class deeplay.components.gnn.gcn.gcn.GraphConvolutionalNeuralNetwork(*args, **kwargs)

Bases: DeeplayModule

Attributes Summary

hidden	Return the hidden layers of the network.
input	Return the input layer of the network.
output	Return the last layer of the network.
propagate	Return the activations of the network.
transform	Return the layers of the network.
update	Return the normalizations of the network.

Methods Summary

configure(*args, **kwargs)	Configures the module with specified arguments.
forward(x)	Define the computation performed at every call.

Attributes Documentation

hidden

Return the hidden layers of the network. Equivalent to .blocks[:-1]

input

Return the input layer of the network. Equivalent to .blocks[0].

output

Return the last layer of the network. Equivalent to .blocks[-1].

propagate

Return the activations of the network. Equivalent to .blocks.activation.

transform

Return the layers of the network. Equivalent to .blocks.layer.

update

Return the normalizations of the network. Equivalent to .blocks.normalization.

Methods Documentation

configure(*args: Any, **kwargs: Any)

Configures the module with specified arguments.

This method allows dynamic configuration of the module’s properties and behaviors. It can be used to set or modify the attributes and parameters of the module and, if applicable, its child modules. The method intelligently handles both direct attribute configuration and delegation to child modules’ configure methods.

Parameters

*argsAny

Positional arguments specifying the configuration settings. When the first argument is a string matching a configurable attribute, the method expects either one or two arguments: the attribute name and, optionally, its value. If the attribute is itself a DeeplayModule, subsequent arguments are passed to its configure method.

**kwargsAny

Keyword arguments for configuration settings. If provided, these are used to update the module’s configuration directly.

Raises

ValueError

Raised if a configuration key is not recognized as a valid configurable for the module or if the provided arguments do not match the expected pattern for configuration.

Example Usage

To configure a single attribute: ` module.configure('attribute_name', attribute_value) # or module.configure(attribute_name=attribute_value) `

To configure multiple attributes using keyword arguments: ` module.configure(attribute1=value1, attribute2=value2) `

To configure a child module’s attribute: ` module.configure('child_module_attribute', child_attribute=child_attribute_value) # or module.child_module.configure(child_attribute=child_attribute_value) `

forward(x)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.