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docs/source/conf.py

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copyright = f'{datetime.datetime.now().year}, {author}'
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extensions = [
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'autoapi.extension',
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'sphinx.ext.autodoc',
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'sphinx.ext.intersphinx',
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'sphinx.ext.mathjax',
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}
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add_module_names = False
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autoapi_type = 'python'
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autoapi_dirs = ['../../torch_geometric_signed_directed']
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autoapi_add_toctree_entry = False
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autoapi_python_class_content = 'both'
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autoapi_options = [
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'members',
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'undoc-members',
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'show-inheritance',
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'show-module-summary',
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]
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autodoc_mock_imports = [
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'torch',
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'torch_geometric',

docs/source/modules/model.rst

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.. contents:: Contents
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:local:
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7-
Directed Undirected Network Models and Layers
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Directed (Unsigned) Network Models and Layers
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--------------
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This section documents directed graph models and core directed convolution
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layers available in PyTorch Geometric Signed Directed. Each entry includes the
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class/function signature and parameter documentation extracted from source
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docstrings.
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.. autoapimodule:: torch_geometric_signed_directed.nn.directed.MagNet_node_classification
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:members:
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:exclude-members:
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Signed (Directed) Network Models and Layers
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--------------
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This section covers methods tailored to signed graphs (including signed
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directed settings), with links to model and layer level APIs.
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.. autoapimodule:: torch_geometric_signed_directed.nn.signed.SSSNET_node_clustering
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:members:
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:exclude-members:
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Auxiliary Methods and Layers
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--------------
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This section contains supporting layers and helper operations used by the
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directed and signed model families.
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.. autoapimodule:: torch_geometric_signed_directed.nn.directed.complex_relu
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:members:
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:exclude-members:

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