Graph-Neural-Networks.md

@@ -79,11 +79,11 @@ Commonly the below terms are referred to the same thing.
 
     *Yaochen Xie, Zhao Xu, Jingtun Zhang, Zhangyang Wang, Shuiwang Ji.*
 ### Popular Models
-GCN, GraphSage, GAT
--[GCN]**Semi-supervised classification with graph convolutional networks.** *Thomas N. Kipf, Max Welling.* ICLR 2017. [paper](https://arxiv.org/pdf/1609.02907.pdf)
--[GraphSage] **Inductive representation learning on large graphs.** *William L. Hamilton, Rex Ying, Jure Leskovec.* NIPS 2017. [paper](http://papers.nips.cc/paper/6703-inductive-representation-learning-on-large-graphs.pdf)
--[GAT] **Graph Attention Networks.** *Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, Yoshua Bengio.* ICLR 2018. [paper](https://arxiv.org/pdf/1710.10903.pdf) [code](
-- [SGC] **Simplifying Graph Convolutional Networks.** *Felix Wu, Tianyi Zhang, Amauri Holanda de Souza Jr., Christopher Fifty, Tao Yu, Kilian Q. Weinberger.* ICML 2019. [paper](https://arxiv.org/pdf/1902.07153.pdf) [code](https://github.com/Tiiiger/SGC)
+- **GCN:** Semi-supervised classification with graph convolutional networks. *Thomas N. Kipf, Max Welling.* ICLR 2017. [paper](https://arxiv.org/pdf/1609.02907.pdf)
+- **GraphSage:** Inductive representation learning on large graphs *William L. Hamilton, Rex Ying, Jure Leskovec.* NIPS 2017. [paper](http://papers.nips.cc/paper/6703-inductive-representation-learning-on-large-graphs.pdf)
+- **GAT:** **Graph Attention Networks.** *Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, Yoshua Bengio.* ICLR 2018. [paper](https://arxiv.org/pdf/1710.10903.pdf) [code](https://github.com/PetarV-/GAT)
+- **SGC:** Simplifying Graph Convolutional Networks.** *Felix Wu, Tianyi Zhang, Amauri Holanda de Souza Jr., Christopher Fifty, Tao Yu, Kilian Q. Weinberger.* ICML 2019. [paper](https://arxiv.org/pdf/1902.07153.pdf) [code](https://github.com/Tiiiger/SGC)
+
 ### Evaluation Papers 
 
 ## Awesome Resource Collections