diff --git a/examples/distribute_metapath2vec/README.md b/examples/distribute_metapath2vec/README.md
index 715850e2a76cef880a13f6c08fb7def00ae36b94..0cbc6a7ff8ba0ad190d9185618b6d2f49edfb2b1 100644
--- a/examples/distribute_metapath2vec/README.md
+++ b/examples/distribute_metapath2vec/README.md
@@ -1,4 +1,4 @@
-# Distributed metapath2vec in PGL
+# Distributed metapath2vec, metapath2vec++, multi-metapath2vec++ in PGL
 [metapath2vec](https://ericdongyx.github.io/papers/KDD17-dong-chawla-swami-metapath2vec.pdf) is a algorithm framework for representation learning in heterogeneous networks which contains multiple types of nodes and links. Given a heterogeneous graph, metapath2vec algorithm first generates meta-path-based random walks and then use skipgram model to train a language model. Based on PGL, we reproduce metapath2vec algorithm in distributed mode.