wzfhaha

> In the paper, you come to the conclusion that dropout’s regularization term is the upper bound of DropNode’s with the Cauchy-Schwarz Inequality in 3.3. But the two fomulas are...

GRAND adopts various techniques to promote the performance on this task. Mixed-order propagation is one of the components of GRAND, which can reduce over-smoothing for two reasons: 1) focusing more...

> I wonder if you can add an OGB experiment result? > I tried to run GRAND on the ogbn-arXiv dataset, but the result was very bad. Thanks for your...

This normalization strategy is used in almost all GNN models for this task. Here we keep the same configuration as the previous works to make sure the comparisons to be...

Hi, thanks for your interests. The code is compatible with python 3.7 and 3.8 in my device. Could you report details of your errors?

The split of cora dataset in dgl is different from the public split, which is pointed in https://github.com/kavehhassani/mvgrl/issues/2. > > > I have the same problem with @hengruizhang98 . I...

Very good paper! I'am also interested in the code of GXN for node classification, could you provide it ? Thank you very much!

Hi, @pmixer. Thanks for your question. 1. There are various different definitions for the "dropout" in MOOCs. It can also be defined based on the certificate behavior. However, in practice,...

@pmixer, all the courses used in CFIN are IPM courses. You are right, researchers can use different definition of dropout.

> Hi @wzfhaha , as titled, KDDCup2015 ended, wondering may the gt for testset be released so the KDDCup2015 dataset is fully accessible for the public. (Need it as 1....