Junkang Wu

Hi, nice work about Variational Autoencoder on recommendation. However, I am confused about the method of data split. In the preprocessing.py, > unique_uid = user_activity.index `unique_uid` is the index of...

implementaion about knowledge graph attention

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From now on, we recommend using our discussion forum (https://github.com/rusty1s/pytorch_geometric/discussions) for general questions. ## ❓ Questions & Help Hi, I'd like to implement the function as follows:   That...

parameter setting for BCEloss on yelp2018

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Hi, I came across CIKM2021-SimpleX: A Simple and Strong Baseline forCollaborative Filtering, Nice work! However, in terms of Table 1, I could not reproduce the result of BCELoss on yelp2018,...

confused about dataset split

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Hi, nice work about Variational Autoencoder on recommendation. However, I am confused about the method of data split which is the same way as 2018WWW-Variational autoencoders for collaborative filtering In...

confused about implementation of 1-1, 1-n, n-1, n-n

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hi, thanks a lot for your work in knowledge graph completion, but I still am confused about the implementation of the table4 in your paper. 1. as for the relation...

[💡SUG] 一对多负采样

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**您希望添加的功能是否与某个问题相关？** 现在很多模型都是通过uniform 1-N采样方式进行计算，由于不区分样本是否交互过从而有较为高效的训练速度，反复学习了recbole框架后，似乎没有直接简洁的修改方式？ **描述您希望的解决方案** 希望实现一对多的负采样形式，如经典BPR-MF模型，每个正样本item对应M个负样本。 **描述您考虑的替代方案** 请问pair-wise是否只支持1-1负采样？但point-wise又缺少负采样部分。 **其他** 无

some question

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你好，请问github上这份graphRNA源码上是没有采用k-fold cross-validation吗？ 我在学习论文以及代码的过程中，产生了这个疑惑。望解答谢谢！

Hi, here! Recently, I'm confused about semi-supervised classification in GCN. - In other words, how the lose function (1)`$\lambda \times L_{reg}$` is implemented? I can't find it in the code....

I want to run your codes by method of skip connection which is emphasised in your paper. Can you give some suggestion in detail? I am a greenhand and college...

confused about 2020ICML-weakly supervised disentanglement

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Hi, weakly-supervised disentanglement is a nice work. But I am still confused about some concept. Looking forward to your explanation. - in the paper at page 5, you compare the...