Zach Wang comments

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                                            Zach Wang

Please provide instructions on how to use the data set with the code.

I am also confused about how to apply the model to the actual datasets .

A question about the 'adj_mats_orig'

@bbjy I guess the author would like to use adj and adj.transpose to represent undirect graphs for PPI network and drug-drug network. For the interactions between proteins and drugs, the...

A question about the 'adj_mats_orig'

@hurleyLi I am also confused on the problem you mentioned. Here are the source codes for spliting training/val/testing edges: ``` def mask_test_edges(self, edge_type, type_idx): edges_all, _, _ = preprocessing.sparse_to_tuple(self.adj_mats[edge_type][type_idx]) num_test...

Simply concatenating the source indices and condition indices even when they are from different codebooks?

I have the same question

Same token for conditioning as well as images

same question

A question about the ppi dataset

I have a question on the feature sets. As the dimensions of c1, c3, c7 are very large, how did you represent each protein using 50-dimensional vectors? Thanks in advance!

problem about runniing code

Hi, It is the problem of tensor dimension. Just replace the code `norm_weight = self.weight * (weight_scale[None,:,None,None] / torch.sqrt((self.weight ** 2).sum(3).sum(2).sum(0) + 1e-6)).expand_as(self.weight)` with `norm_weight = self.weight * (weight_scale[None,:,None,None] /...

Why did you retrain a new module token_emb, have you ever tried to change the VQGAN codebook from dim=256 to dim=768 via MLP?

> We did not try that, but it could be an option to create the token_emb. We use a new module token_emb because we simply regard the tokens as words,...