mowl.models

Classes

BoxEL(dataset[, embed_dim, min_bounds, ...])	Implementation based on [xiong2022].
BoxELGDA(*args, **kwargs)	Example of BoxEL for gene-disease association prediction.
BoxELPPI(*args, **kwargs)	Example of BoxEL for protein-protein interaction prediction.
BoxSquaredEL(dataset[, embed_dim, margin, ...])	Implementation based on [jackermeier2023].
ELBE(dataset[, embed_dim, margin, reg_norm, ...])	Implementation based on [peng2020].
ELBEGDA(*args, **kwargs)	Example of ELBE for gene-disease associations prediction.
ELBEPPI(*args, **kwargs)	Example of ELBE for protein-protein interaction prediction.
ELEmGDA(*args, **kwargs)	Example of ELEmbeddings for gene-disease associations prediction.
ELEmPPI(*args, **kwargs)	Example of ELEmbeddings for protein-protein interaction prediction.
ELEmbeddings(dataset[, embed_dim, margin, ...])	Implementation based on [kulmanov2019].
GraphPlusPyKEENModel(*args[, device])	This is a wrapper class of pykeen.models.ERModel that allows to use the PyKEEN models in the mOWL framework.
RandomWalkPlusW2VModel(*args, **kwargs)	Embedding model that combines graph projections + random walks.
SyntacticPlusW2VModel(*args, **kwargs)	Model that combines corpus generation with Word2Vec training.

Class Inheritance Diagram