diff --git a/examples/citation_benchmark/README.md b/examples/citation_benchmark/README.md
index 4313ec0d03021c0b1d3689c3892b3240c26d77bc..82fa0b23a0f778e2e07c809933d5ea5e316fea91 100644
--- a/examples/citation_benchmark/README.md
+++ b/examples/citation_benchmark/README.md
@@ -1 +1,49 @@
 # Easy Paper Reproduction for Citation Network (Cora/Pubmed/Citeseer)
+
+
+
+This page tries to reproduce all the **Graph Neural Network** paper for Citation Network (Cora/Pubmed/Citeseer), which is the **Hello world**  dataset (**small** and **fast**) for graph neural networks. But it's very hard to achieve very high performance.
+
+
+
+All datasets are runned with public split of  **semi-supervised** settings.
+
+
+
+How to run the experiments?
+
+
+
+```shell
+# Device choose
+export CUDA_VISIBLE_DEVICES=0
+# GCN
+python train.py --conf config/gcn.yaml --use_cuda --dataset cora
+python train.py --conf config/gcn.yaml --use_cuda --dataset pubmed
+python train.py --conf config/gcn.yaml --use_cuda --dataset citeseer
+
+
+# GAT
+python train.py --conf config/gat.yaml --use_cuda --dataset cora
+python train.py --conf config/gat.yaml --use_cuda --dataset pubmed
+python train.py --conf config/gat.yaml --use_cuda --dataset citeseer
+
+
+# SGC (Slow version)
+python train.py --conf config/sgc.yaml --use_cuda --dataset cora
+python train.py --conf config/sgc.yaml --use_cuda --dataset pubmed
+python train.py --conf config/sgc.yaml --use_cuda --dataset citeseer
+
+# APPNP
+python train.py --conf config/appnp.yaml --use_cuda --dataset cora
+python train.py --conf config/appnp.yaml --use_cuda --dataset pubmed
+python train.py --conf config/appnp.yaml --use_cuda --dataset citeseer
+
+# GCNII (The original code use 1500 epochs.)
+python train.py --conf config/appnp.yaml --use_cuda --dataset cora --epoch 1500
+python train.py --conf config/appnp.yaml --use_cuda --dataset pubmed --epoch 1500
+python train.py --conf config/appnp.yaml --use_cuda --dataset citeseer --epoch 1500
+```
+
+
+