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MKLab-ITI / JGNN

A Fast Graph Neural Network Library written in Native Java
Apache License 2.0
17 stars 3 forks source link

Deep Graph Convolutional Neural Network (DGCNN) #1

Closed oxfordblues closed 1 year ago

oxfordblues commented 2 years ago

Hi Emmanouil,

This is an exciting repository, which seems to be well written, and lightweight, without heavy dependencies!

I have taken a look at the code, and am wondering if it is possible to use this repository to predict the correct label for a previously unseen graph? By a previously unseen graph we mean one that was not used for training and validating of the model. An example for such a model can i.a. be found here: https://stellargraph.readthedocs.io/en/stable/demos/graph-classification/dgcnn-graph-classification.html

maniospas commented 2 years ago

Hi Eirik,

thanks a lot for the interest and suggestion!

I have not yet gotten around to implementing the sorting layer mentioned in the approach you link to, but plan to do so in the upcoming months. Before that point, I will push a version that supports earlier DGCNN approaches without the sorting layer but can still classify unseen graphs.

oxfordblues commented 2 years ago

Thank you for the answer, this is really interesting. There are very few JVM libraries that support GNN, and it will be exciting to see if this can work on unseen graphs!

maniospas commented 1 year ago

Forgot to timely update this issue. Graph classification is now supported, after the discussion in #2 . You can find the respective tutorial here: https://github.com/MKLab-ITI/JGNN/blob/main/tutorials/GraphClassification.md

(Feel free to reopen this issue if things are not working well in specific applications.)

oxfordblues commented 1 year ago

Thank you, great work!