Hongwei Wang

Hi! Sorry for the inconvenience. The repository runs on Python 3.6 and TF 1.2. Thanks!

你好，请参考https://github.com/hwwang55/RippleNet/tree/master/data/book。谢谢！

Hi! I think you can first have a check that if every movie in MovieLens-100k shows up in the kg.txt file. You may delete movies that are not contained in...

Hi there, what type of datasets are you working on?

you need to find a KG that matches the items in your dataset, and then do the linking between entities and items.

Do you have the information to construct a KG for items? KG contains factual knowledge so it cannot be "created" but only "extracted" from available source of information. For example,...

You need to extract information from articles, and see if the specialty and lead concept information you mentioned can form a graph. How to construct a KG is beyond the...

Hi Sachin, Thanks for your interest in our work! Our method is item-inductive but not user-inductive, because we have an item KG which can help us calculate the representation of...

It depends on how you design user embeddings. If user embeddings are randomly initialized embedding vectors, you cannot deal with the cold start problem. If user embeddings are based on...

You still need an MLP to calculate user embeddings in KGNN-LS