graph-generation issues

The implemented baseline issues

6

Many thanks for releasing the code. I have some questions regarding the GraphVAE. - It seems that the encoder is not using the graph neural network, the GCN layers are...

kiarashza

How can I use graphRNN code to generate graphs with costume node labels or with node attributes?

1

Hello, How can I use graphRNN code to generate graphs with costume node labels or with node attributes? Here is my problem: by modifying 'create_graphs.py', I created a training set...

thesaturdayafternoon

Node label generation

4

Hello, thank you for this excellent codebase. I find that this repo is straightforward for use in structure generation, however is there some functionality of node-label (node class) generation already...

kglore

Issue of generating reciprocal edges in directed graph

2

Hi, thanks for open source the code! The framework can learn and generate undirected graph with high quality. But when I train the model (modified based on the suggestion given...

c752334430

refactoring code with List Comprehension

refactoring code with List Comprehension which is more pythonic, concise and efficient; how do you think this change which has practical value？

idiomaticrefactoring

Why do we need to reverse y_reshape

2

Hi Author, In tain.py line 461, why do we need to reverse y_reshape?

Wayne-Bai

MMD computation - square root missing

The `compute_mmd` function in [mmd.py](https://github.com/JiaxuanYou/graph-generation/blob/3444b8ad2fd7ecb6ade45086b4c75f8e2e9f29d1/eval/mmd.py#L80) should compute square root of `disc(s1, s1) + disc(s2, s2) - 2*disc(s1, s2)` right? Referring equation 10 of the [GraphRNN paper](https://arxiv.org/pdf/1802.08773.pdf).

tathagatv