diff --git a/README.md b/README.md
index 987fb7b..94e45f1 100644
--- a/README.md
+++ b/README.md
@@ -12,5 +12,9 @@ Source code of AAAI submission "Heterogeneous Graph Structure Learning for Graph
 Take DBLP dataset as an example:
 python train.py --dataset='dblp' 
 
-# Guide on Generation of Semantic Embeddings
+# FAQ
+## Code of preprocessing data?
+The data is originally preprocessed by GTN project (https://github.com/seongjunyun/Graph_Transformer_Networks). 
+
+## How to generate semantic embeddings?
 The semantic embeddings, i.e. $\mathcal{Z}$ in the paper, are generated by metapath2vec algorithm. Users may refer to https://github.com/dmlc/dgl/tree/master/examples/pytorch/metapath2vec for an implementation.