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Disentagnled Graph Collaborative Filtering, SIGIR2020

Python 100.00%
collaborative-filtering graph-neural-networks sigir2020 recommender-system disentangled-representations disentangled-graph-neural-networks neural-collaborative-filtering personalized-recommendation recommendation independence-modeling distance-correlation

disentangled_graph_collaborative_filtering's Issues

statistics of the datasets

Could you tell me the detail of proprocess data to get same statistics of the datasets ? I downloaded the amazon book dataset of 10-core. But i get different statistics of the datasets: item_num = 128939, user_num = 158650, sample = 4701968.

Loss NAN

Hi, I have tried several different datasets (including the movielens dataset), the loss is always NAN, no matter how I adjust the hyper-parameters.
Would you give me some suggestions to handle this problem?
Thank you in advance!

So where is the DGCF_v2?

hi,dear
could you please release the source codes?
if it is in NeuRec, will be much better .
thx

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