Graph Machine Learning
yilunliao commited on
Commit
c04da5a
·
verified ·
1 Parent(s): 4862007

Add ArXiv paper link

Browse files
Files changed (1) hide show
  1. README.md +1 -1
README.md CHANGED
@@ -9,7 +9,7 @@ license: mit
9
  -->
10
 
11
  <a href="https://github.com/atomicarchitects/equiformer_v3" style="color: #1a73e8; font-weight: bold; font-size: 20px;">Code</a> |
12
- <a href="https://github.com/atomicarchitects/equiformer_v3/blob/main/experimental/docs/equiformer_v3_paper.pdf" style="color: #1a73e8; font-weight: bold; font-size: 20px;">Paper</a>
13
 
14
  This repository contains the checkpoints of the work "EquiformerV3: Scaling Efficient, Expressive, and General SE(3)-Equivariant Graph Attention Transformers".
15
  Please refer to the [code](https://github.com/atomicarchitects/equiformer_v3) for detailed description of usage.
 
9
  -->
10
 
11
  <a href="https://github.com/atomicarchitects/equiformer_v3" style="color: #1a73e8; font-weight: bold; font-size: 20px;">Code</a> |
12
+ <a href="https://arxiv.org/abs/2604.09130" style="color: #1a73e8; font-weight: bold; font-size: 20px;">Paper</a>
13
 
14
  This repository contains the checkpoints of the work "EquiformerV3: Scaling Efficient, Expressive, and General SE(3)-Equivariant Graph Attention Transformers".
15
  Please refer to the [code](https://github.com/atomicarchitects/equiformer_v3) for detailed description of usage.