:py:mod:`n2j.trainval_data.graphs.base_graph`
=============================================

.. py:module:: n2j.trainval_data.graphs.base_graph

.. autoapi-nested-parse::

   Generic catalog-agnostic module for input graph X



Module Contents
---------------

Classes
~~~~~~~

.. autoapisummary::

   n2j.trainval_data.graphs.base_graph.Subgraph
   n2j.trainval_data.graphs.base_graph.BaseGraph




.. py:class:: Subgraph(x=None, y_local=None, y=None, x_meta=None, y_class=None, edge_index=None)

   Bases: :py:obj:`torch_geometric.data.Data`

   Subgraph representing a single sightline

       


.. py:class:: BaseGraph(root, raytracing_out_dir, aperture_size, n_data, debug=False, transform=None, pre_transform=None, pre_filter=None)

   Bases: :py:obj:`torch_geometric.data.Dataset`

   ABC for graphs created from photometric catalogs. Not to be used on its
   own. Child classes follow the naming convention, `<name of catalog>Graph`

   .. py:method:: _get_sightlines()

      Load the precomputed sightlines containing the pointings and labels