-
We're interested in enhancing the ML/MM method by including intermolecular interactions between the ML and MM regions of the system. There is some discussion on the slack channel for this about which …
-
CNNカーネルを8通りに複製する
- original
- R90
- R180
- R270
- H-flip
- V-flip
- H-flip + R90
- V-flip + R90
参考: Roto-translation equivariant convolutional networks
-
微博内容精选
-
-
-------------
# Roadmap
- #4 @InesVATI
- #6 @ManalAkh
- #7 @balthazarneveu
- :gift: theory : #5 @InesVATI but all involved!
![image](https://github.com/balthazarneveu/sprectral_graph…
-
Starting from the [most basic GNN](https://github.com/DeepRank/deeprank-core/blob/main/deeprankcore/naive_gnn.py), we'll develop a more sophisticated model. Useful resources:
- [A Gentle Introduction…
-
Hi!
Thanks again for maintaining this valuable resource.
We have three new NeurIPS papers on (provably) robust learning on graphs
and wanted to ask if we could include them.
---
In this p…
-
[The format of the issue]
Paper name/title:
Paper link:
Code link:
amusi updated
6 months ago
-
Greetings, and many thanks for the contribution as well as for sharing the implementation!
I'm trying to make sense of which hyper-parameters have been used for the different settings, and hope you…
-
Hi there, I wanted to bring to your attention a potential memory leak in the BatchNorm implementation. I am not familiar with the mathematics behind equivariant neural networks and so I can't say if t…