Update README.md

README.md

@@ -6,13 +6,16 @@ task_categories:
 pretty_name: DeepNets
 size_categories:
 - 1M<n<10M
+tags:
+- graph
+- computational-graph
+- hypernetwork
 ---
 
 This is a copy of the **DeepNets-1M** dataset originally released at https://github.com/facebookresearch/ppuda under the MIT license.
 
 The dataset presents diverse computational graphs (1M training and 1402 evaluation) of neural network architectures used in image classification.
-See detailed description at https://paperswithcode.com/dataset/deepnets-1m and 
-in the [Parameter Prediction for Unseen Deep Architectures](https://arxiv.org/abs/2110.13100) paper.
+See detailed description in the [Parameter Prediction for Unseen Deep Architectures](https://arxiv.org/abs/2110.13100) paper.
 
 
 There are four files in this dataset:
@@ -21,9 +24,16 @@ There are four files in this dataset:
 - deepnets1m_search.hdf5;  # 1.3 GB (md5: 0a93f4b4e3b729ea71eb383f78ea9b53)
 - deepnets1m_train.hdf5;   # 10.3 GB (md5: 90bbe84bb1da0d76cdc06d5ff84fa23d)
 
+## GHN-2
+
+- paper: [Parameter Prediction for Unseen Deep Architectures](https://arxiv.org/abs/2110.13100)
+- code: https://github.com/SamsungSAILMontreal/ghn3
+  
+## GHN-3
+
+- paper: [Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?](https://arxiv.org/abs/2303.04143) training an improved GHN on this dataset
+- code: https://github.com/SamsungSAILMontreal/ghn3
 
-**See [Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?
-](https://arxiv.org/abs/2303.04143) training an improved GHN on this dataset.**
 
 ## Citation