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Thank you for the code, I read the paper and I am interested in applying this model to a large scale bipartite graph with side features for each node. I was able to get "train_mini_batch.py" up and running on movielens 10 million. I am interested in modifying the code to incorporate side features.
Do you think this is feasible? I have been looking at "train.py" and as far as I can see, I should just be able to treat the side features as additional sparse matrices. In batch mode, I can look up the required rows of the side feature matrices analogous to train_u_indices_batch on line 284 of "train_mini_batch.py". Would I have to make any internal modifications to RecommenderSideInfoGAE?
Do you think this is feasible?
Thank You,
Kuhan
The text was updated successfully, but these errors were encountered:
Hi,
Thank you for the code, I read the paper and I am interested in applying this model to a large scale bipartite graph with side features for each node. I was able to get "train_mini_batch.py" up and running on movielens 10 million. I am interested in modifying the code to incorporate side features.
Do you think this is feasible? I have been looking at "train.py" and as far as I can see, I should just be able to treat the side features as additional sparse matrices. In batch mode, I can look up the required rows of the side feature matrices analogous to train_u_indices_batch on line 284 of "train_mini_batch.py". Would I have to make any internal modifications to RecommenderSideInfoGAE?
Do you think this is feasible?
Thank You,
Kuhan
The text was updated successfully, but these errors were encountered: