EmbDI is a table embeddings algorithm that solves data integration problems by converting tabular data into graphs, then applying word2vec to the graph to obtain embeddings.
There should be a main file that can run the walk generation + embeddings training steps of the pipeline without the clutter involved in testing the embeddings.
This main would take a configuration file that contains the walks and embeddings hyperparameters, and produces the embeddings (and possibly walks) file, and nothing else.
There should be a main file that can run the walk generation + embeddings training steps of the pipeline without the clutter involved in testing the embeddings.
This main would take a configuration file that contains the walks and embeddings hyperparameters, and produces the embeddings (and possibly walks) file, and nothing else.