Graph-Neural-Networks.md

@@ -3,7 +3,8 @@
 - [Thomas Kipf](https://tkipf.github.io/)
 - [Jian Tang - MILA](https://jian-tang.com/)
 - [Jure Leskovec - Stanford Computer Science](https://cs.stanford.edu/people/jure/)
-- [Zhiyuan Liu - Tsinghua University] - 
+- [Zhiyuan Liu - Tsinghua University](http://nlp.csai.tsinghua.edu.cn/~lzy/) 
+- 
 ## Awesome Papers
 ### Survey Papers
 ### Technical Papers
@@ -12,13 +13,14 @@
 ## Awesome Resource Collections
 - [GRAND-Lab/Awesome-Graph-Neural-Networks](https://github.com/GRAND-Lab/Awesome-Graph-Neural-Networks)
 - [thunlp/NRLPapers](https://github.com/thunlp/NRLPapers)
+- [thunlp/GNNPapers](https://github.com/thunlp/GNNPapers)
+
 
 ## Awesome Library
 1. [pytorch geometric](https://github.com/rusty1s/pytorch_geometric)
-
 1. [deep graph library](https://github.com/dmlc/dgl)
-
 1. [graph nets library](https://github.com/deepmind/graph_nets)
-
 1. [GNN-based Fraud Detection Toolbox](https://github.com/safe-graph/DGFraud)
-2. [DeepHypergraph](https://github.com/iMoonLab/DeepHypergraph)
+2. [DeepHypergraph](https://github.com/iMoonLab/DeepHypergraph)
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+3. [OpenNE](https://github.com/thunlp/OpenNE)
+4. [Graph Nets](https://github.com/deepmind/graph_nets)
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