Learning representations of text and graphs
Learning latent representations of text and graphs.
The goal is to implement all trending deep representations for text and graphs for convenient reuse.
The methods should comply to the sklearn transformer interface, implementing the fit and transform methods.
Loading of pre-trained models should be convenient as convenient as <class>.load("path").