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JinheonBaek / GMT

Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)
https://arxiv.org/abs/2102.11533
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how to reproduce the figure 5? #15

Closed WangHexie closed 3 years ago

WangHexie commented 3 years ago

image

JinheonBaek commented 3 years ago

Hello, Thanks for your interest.

We produce the above reconstruction result of synthetic graphs (Figure 5) using the code in https://github.com/FilippoMB/Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling/blob/master/Autoencoder.py as the basic building block.

If you want to get the code file that is written in Python and PyTorch, then please let me know your email address. Due to the reason that the synthetic graph reconstruction code is not well fitted into our full hierarchy of entire codes, we have not incorporated it.

Sincerely, Jinheon Baek

WangHexie commented 3 years ago

@JinheonBaek Thanks for your quick reply. It would be nice to have the code file. I've sent an email to your kaist.ac.kr email address.

WangHexie commented 3 years ago

Thanks a lot.

imSeaton commented 3 years ago

Hi, I'm interested in the area of graph pooling, and I‘m trying to do some minor improvements based on the solid work. Could you please send the code of reconstruction of synthetic graphs written in Pytorch to my email seatonsu@foxmail.com . I'll appreciate it very much.

JinheonBaek commented 3 years ago

@imSeaton Hi, I sent it to your email.

imSeaton commented 3 years ago

@imSeaton Hi, I sent it to your email.

Thank you!