pursueorigin

Results 7 issues of pursueorigin

Hi, As far as I know, randomly splitting the training/testing set may cause some users/items not included in the training set. Can you please give more details about it? If...

Hi, I have a question about selecting models. In DGCNN https://github.com/muhanzhang/pytorch_DGCNN/issues/19, the author uses the accuracy of the test set at the last iteration. In this paper, the best accuracy...

Hi, Your code is very clear. But I have a question for the construction of the adjacency matrix. Because you split the data set into train, eval, and test set,...

Hi, Your work is really impressive! I have a question about baseline methods. Do you implement them by yourself or use the public code? To my knowledge, different baseline methods...

Hi authors, This is an impressing work. However, I am confused about your classification experiments for small batch size. 'setting batch size to 256 and iteration size to 1 (for...

it should return return score / num_hits rather than return score / min(len(actual), k)