Sachin Sharma

Thank you for the response @hwwang55 . So if I add a new user (u1) in the interaction matrix (Y), lets say with some engagements and now we want to...

I am going through your other paper "Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems" which claims that Label Smoothness adds inductive bias in algorithm. Can this...

Thanks for clarifying. So in the paper user embeddings are are randomly initialized embedding vectors, isn't it ?

Just a question out of curiosity; So if the user features are available (e.g. demographics, sex, etc) then we can create user embeddings via MLP. Afterwards how we can use...

The another main difficulty is to find a standard dataset which provides the information about user feature like demographics, etc. However, I dont think user information is provided by any...

> Once you have user embedding, you can use it to calculate the user-specific adjacency matrix, then running GCN on this adjacency matrix. Item embeddings are contained in the output...