search

tkipf / gae

Implementation of Graph Auto-Encoders in TensorFlow
MIT License
1.64k stars 352 forks source link

Implementing RGCNs #1

Open pavanramkumar opened 7 years ago

pavanramkumar commented 7 years ago

Thanks for your really great work! I'd like to know if you plan to extend this GAE implementation for learning embeddings of multi-relational graphs (N x N x M) as in the recent RGCN paper from your group. I'm very excited about that paper and would like to help if there are ongoing efforts to provide an implementation. Do let me know!

tkipf commented 7 years ago

Thanks! We're planning to release the code for these projects as well (probably some time after the NIPS review process).

rjurney commented 6 years ago

I would also be very interested in the update to multi-relational graphs. Any progress on this?

tkipf commented 6 years ago

We are planning to release the code for our Graph Convolutional Matrix Completion project later this month. This is essentially a multi-relational extension of the code from this repository. On Tue 2. Jan 2018 at 00:57 Russell Jurney notifications@github.com wrote:

I would also be very interested in the update to multi-relational graphs. Any progress on this?

— You are receiving this because you commented.

Reply to this email directly, view it on GitHub https://github.com/tkipf/gae/issues/1#issuecomment-354685903, or mute the thread https://github.com/notifications/unsubscribe-auth/AHAcYOFG5eXEoBb0-1Fa2dFogRwldHB9ks5tGXDngaJpZM4OIVFK .