:autogenerated:

histocartography.ml.layers.constants module
===========================================

.. currentmodule:: histocartography.ml.layers.constants

.. automodule:: histocartography.ml.layers.constants
    :members: ACTIVATIONS, AGGREGATORS, AVAILABLE_LAYER_TYPES, CENTROID, EPS, GNN_AGG_MSG, GNN_EDGE_FEAT, GNN_EDGE_WEIGHT, GNN_MODULE, GNN_MSG, GNN_NODE_FEAT_IN, GNN_NODE_FEAT_OUT, READOUT_TYPES, REDUCE_TYPES, SCALERS, aggregate_max, aggregate_mean, aggregate_min, aggregate_std, aggregate_var, min_nodes, reduce_max, reduce_min, scale_amplification, scale_attenuation, scale_identity
    :undoc-members:
    :show-inheritance:
    :member-order: bysource

    Summary
    -------

    Functions:

    .. autosummary::
        :nosignatures:

        aggregate_max
        aggregate_mean
        aggregate_min
        aggregate_std
        aggregate_var
        min_nodes
        reduce_max
        reduce_min
        scale_amplification
        scale_attenuation
        scale_identity







Reference
---------
If you use `histocartography` in your projects, please cite the following:

.. code-block:: python

    @inproceedings{pati2021,
        title = {Hierarchical Graph Representations for Digital Pathology},
        author = {Pushpak Pati, Guillaume Jaume, Antonio Foncubierta, Florinda Feroce, Anna Maria Anniciello, Giosuè Scognamiglio, Nadia Brancati, Maryse Fiche, Estelle Dubruc, Daniel Riccio, Maurizio Di Bonito, Giuseppe De Pietro, Gerardo Botti, Jean-Philippe Thiran, Maria Frucci, Orcun Goksel, Maria Gabrani},
        booktitle = {https://arxiv.org/pdf/2102.11057},
        year = {2021}
    }