xiangwang1223/neural_graph_collaborative_filtering

Issues

• Could you release the pre-processing codes?

  #55 opened 3 years ago by RileyLee95
  1

• statistics of the datasets

  #51 opened 4 years ago by Book1996
  2

• InternalError

  #57 opened a year ago by qianlong0502
  0

• How to calcuate nDCG in this paper?

  #56 opened 2 years ago by swyo
  1

• The embedding propagation code seems to be not consistent with the paper

  #53 opened 3 years ago by Dousia
  1

• a problem about matrix inner produce

  #14 opened 5 years ago by sunshinelium
  3

• adj_type and _create_ngcf_embed

  #13 opened 5 years ago by wushihu
  5

• An experimental phenomenon

  #28 opened 5 years ago by wu6shen
  2

• Validation data

  #12 opened 5 years ago by Songweiping
  6

• is the tsne figure‘s code available？

  #54 opened 3 years ago by A787
  0

• wrong api used

  #47 opened 4 years ago by KimRasak
  1

• How to deal with the score of the original dataset?

  #52 opened 3 years ago by inoryw
  0

• Could you release the code of hop-rec?

  #36 opened 5 years ago by cowry5
  1

• how can I boost the performance of NGCF

  #26 opened 5 years ago by HaoZhang534
  3

• What is reg_loss in the code?

  #50 opened 4 years ago by huangniu1124
  0

• how can i get prediction result?

  #49 opened 4 years ago by jane96
  0

• In the training process, loss decreases ，but recall remains unchanged

  #48 opened 4 years ago by songiu
  0

• Can you release the code for GCMC and Pin-sage?

  #31 opened 5 years ago by yuanyuansiyuan
  2

• How much time do you spend on generating the adj maxtrices

  #46 opened 4 years ago by KimRasak
  0

• Question about the negative sample

  #39 opened 4 years ago by ShanleiMu
  0

• about the 'NAN’ loss during training

  #43 opened 4 years ago by XiejcSYSU
  1

• Getting the performance w.r.t. different sparsity levels.

  #45 opened 4 years ago by theurn15
  0

• Are you using the test dataset in the training process?

  #37 opened 5 years ago by kunwuz
  4

• Can not match the code implementation of embedding propagation layer and the paper

  #42 opened 4 years ago by b3326023
  0

• Question about the propagation in matrix form

  #38 opened 4 years ago by RaptorMai
  2

• how to do the one-sample t-test to get the p-value in the experimental results?

  #41 opened 4 years ago by yuanyuansiyuan
  0

• Not consistent with original NDCG

  #34 opened 5 years ago by newlei
  1

• Is there a code for the keras version of NGCF？

  #40 opened 4 years ago by coder-duibai
  0

• How did you split training/testing set?

  #19 opened 5 years ago by pursueorigin
  2

• module 'tensorflow.tools.api.generator.api.math' has no attribute 'l2_normalize'

  #18 opened 5 years ago by xahiru
  3

• Predictions for new users

  #35 opened 5 years ago by giles7777
  0

• learning rate problem

  #29 opened 5 years ago by namenotexist
  1

• why the loss of BPRMF do not decrease

  #33 opened 5 years ago by namenotexist
  0

• about the create_gcmc_embed function

  #32 opened 5 years ago by yuanyuansiyuan
  0

• About "reg_loss" and "_split_A_hat" function

  #11 opened 5 years ago by yuanyuansiyuan
  2

• About the norm adj matrix and gcn convolutional layer

  #10 opened 5 years ago by yuanyuansiyuan
  9

• VIsualization tools

  #27 opened 5 years ago by liuhaifeng0212
  0

• About the performence of some baseline

  #25 opened 5 years ago by namenotexist
  9

• Can you release the code of the associated baseline approaches such as NeuMF?

  #16 opened 5 years ago by Dinxin
  7

• How do you train GCN on such a large dataset "Amazon-Book"?

  #21 opened 5 years ago by JinYang88
  6

• MemoryError: when create_adj_mat with numpy

  #24 opened 5 years ago by yipeng5
  1

• how to test the performence in the test dataset

  #23 opened 5 years ago by namenotexist
  8

• Have you remove the current user-item edge in gcn propagation process?

  #22 opened 5 years ago by yuanyuansiyuan
  1

• what's the purpose of '_split_A_hat' function?

  #20 opened 5 years ago by pursueorigin
  4

• How to solve loss is NAN?

  #17 opened 5 years ago by Jhy1993
  3

• error：when adj_mat[:n_users, n_users:] = R

  #5 opened 5 years ago by gumanchang
  3

• sparse_tensor_dense_matmul cause ResourceExhaustedError

  #15 opened 5 years ago by gumanchang
  3

• How can you improve the efficiency of this situation

  #9 opened 5 years ago by Lx1010
  1

• How is the efficiency of your code?

  #8 opened 5 years ago by yuanyuansiyuan
  1

• p_ui

  #6 opened 5 years ago by flyzaway
  1