:autogenerated: histocartography.ml package =========================== .. automodule:: histocartography.ml Subpackages: .. toctree:: :maxdepth: 1 histocartography.ml.layers histocartography.ml.models Summary ------- ``__all__`` Classes: .. list-table:: * - :class:`CellGraphModel ` - Cell Graph Model. * - :class:`DenseGINLayer ` - Base class for all neural network modules. * - :class:`GINLayer ` - Base class for all neural network modules. * - :class:`HACTModel ` - HACT model. * - :class:`MultiLayerGNN ` - MultiLayer network that concatenates several gnn layers. * - :class:`PNALayer ` - Base class for all neural network modules. * - :class:`TissueGraphModel ` - Tissue Graph Model. 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} }